Dissertations / Theses on the topic 'Personalised media'
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Costello, Robert. "Adaptive intelligent personalised learning (AIPL) environment." Thesis, University of Hull, 2012. http://hydra.hull.ac.uk/resources/hull:6251.
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As individuals the ideal learning scenario would be a learning environment tailored just for how we like to learn, personalised to our requirements. This has previously been almost inconceivable given the complexities of learning, the constraints within the environments in which we teach, and the need for global repositories of knowledge to facilitate this process. Whilst it is still not necessarily achievable in its full sense this research project represents a path towards this ideal. In this thesis, findings from research into the development of a model (the Adaptive Intelligent Personalised Learning (AIPL)), the creation of a prototype implementation of a system designed around this model (the AIPL environment) and the construction of a suite of intelligent algorithms (Personalised Adaptive Filtering System (PAFS)) for personalised learning are presented and evaluated. A mixed methods approach is used in the evaluation of the AIPL environment. The AIPL model is built on the premise of an ideal system being one which does not just consider the individual but also considers groupings of likeminded individuals and their power to influence learner choice. The results show that: (1) There is a positive correlation for using group-learning-paradigms. (2) Using personalisation as a learning aid can help to facilitate individual learning and encourage learning on-line. (3) Using learning styles as a way of identifying and categorising the individuals can improve their on-line learning experience. (4) Using Adaptive Information Retrieval techniques linked to group-learning-paradigms can reduce and improve the problem of mis-matching. A number of approaches for further work to extend and expand upon the work presented are highlighted at the end of the Thesis.
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Jonsson, Amanda, and Ekeroth Julia Darnéus. "The Effectiveness of Personalised Advertising : An exploratory study on personalised advertising done on Facebook." Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-54413.
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Ngu, Ik Ying. "Personalised Communicative Ecologies: The role of social media in the Bersih movement’s mobilisation." Thesis, Curtin University, 2021. http://hdl.handle.net/20.500.11937/84803.
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This thesis uses Foth and Hearn’s (2007) notion of ecology to examine how the Bersih movement uses social media to mobilise individuals through personalised conversations. It analyses the interaction between citizens within an ecology to capture their pattern of media usage and political discourse within the context of electoral reform in Malaysia between 2017 and 2020. The findings show citizens’ personal expressions and self-fulfillment are becoming more centralized within the Bersih movement.
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Agiden, Jelia, and Ellen Colliander. "Cookies på gott eller ont : En studie om hur tonåringar upplever att deras köpbeteende påverkas av digital one-to-one marknadsföring." Thesis, Södertörns högskola, Institutionen för samhällsvetenskaper, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-41126.
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I och med teknologins framfart har digital marknadsföring blivit ett av de vanligaste sätten för marknadsförare att nå sin publik. Med denna digitala utveckling ökar också möjligheterna för marknadsföringen. Något som för 25 år sedan bara var en dröm är idag en mycket aktuell verklighet -nämligen digital one-to-one marknadsföring. Denna marknadsföringsform går ut på att enorma mängder data samlas in om individer som sedan används för att skapa personaliserade annonser anpassade just för dessa individers behov. Teknologin gör detta möjligt och denna marknadsföringsform befinner sig ofta på sociala medier. En konsumentgrupp som spenderar mycket tid på sociala medier är tonåringar. Denna studie ämnar därför undersöka hur tonåringar upplever att deras köpbeteende påverkas av digital one-to-one marknadsföring. Kvalitativa intervjuer har utförts till empiriinsamlingen med respondenter i åldrarna 15-17 år. Alla respondenter känner sig påverkade av digital one-to-one marknadsföring. De känner oro för vad deras information används till och tycker att riskerna med att ge ifrån sig information överväger nyttan av att få anpassade annonser. Denna integritetsoro skulle möjligtvis kunna dämpas om information försågs med var företaget hittat den personliga informationen. Hos tonåringar kan denna marknadsföring skapa behov som de inte hade tidigare och bidra med fler alternativ för att tillfredsställa detta behov. One-to-one marknadsföring har alltså en direkt påverkan på tonåringars köpbeteende.With the steady and rapid growth of technology, digital marketing has become one of the most common ways for advertisers to reach out to a broader audience. Instagram and Snapchat are the most commonly used social networking services among today’s adolescents that highly utilise the concept of personalised digital advertising through third parties. One-to-one marketing is a form of personalised marketing that aims to collect information about individual consumers in order to provide each individual with advertisements fitted to their interests. This study takes a closer look on how teenagers perceive the personal effect of one-to-one marketing. The empirical research was obtained from qualitative interviews carried out among teenagers aged 15 to 17 years old. Upon conclusion of the study, it was found that all respondents felt influenced by digital one-to-one marketing and are worried about the use of their information. Ultimately, respondents think the risks outweigh the benefits and want to know where the company gets their information from. In adolescents, one-to-one marketing can create needs that did not exist before and can be met through the provision of more options. Hence, one-to-one marketing has a direct impact on the purchasing behaviour of adolescents.
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Boissière, Guillaume 1974. "Personalized multicast." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/61100.
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Rawashdeh, Majdi. "Towards Folksonomy-based Personalized Services in Social Media." Thèse, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/30985.
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Every single day, lots of users actively participate in social media sites (e.g., Facebook, YouTube, Last.fm, Flicker, etc.) upload photos, videos, share bookmarks, write blogs and annotate/comment on content provided by others. With the recent proliferation of social media sites, users are overwhelmed by the huge amount of available content. Therefore, organizing and retrieving appropriate multimedia content is becoming an increasingly important and challenging task. This challenging task led a number of research communities to concentrate on social tagging systems (also known as folksonomy) that allow users to freely annotate their media items (e.g., music, images, or video) with any sort of arbitrary words, referred to as tags. Tags assist users to organize their own content, as well as to find relevant content shared by other users. In this thesis, we first analyze how useful a folksonomy is for improving personalized services such as tag recommendation, tag-based search and item annotation. We then propose two new algorithms for social media retrieval and tag recommendation respectively. The first algorithm computes the latent preferences of tags for users from other similar tags, as well as latent annotations of tags for items from other similar items. We then seamlessly map the tags onto items, depending on an individual user’s query, to find the most desirable content relevant to the user’s needs. The second algorithm improves tag-recommendation and item annotation by adapting the Katz measure, a path-ensemble based proximity measure, for the use in social tagging systems. In this algorithm we model folksonomy as a weighted, undirected tripartite graph. We then apply the Katz measure to this graph, and exploit it to provide personalized tag recommendation for individual users. We evaluate our algorithms on two real-world folksonomies collected from Last.fm and CiteULike. The experimental results demonstrate that the proposed algorithms improve the search and the recommendation performance, and obtain significant gains in cold start situations where relatively little information is known about a user or an item
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Feldmeier, Mark Christopher 1974. "Personalized building comfort control." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/55185.
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Thesis (Ph. D.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2009.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 273-278).
Creating an appropriate indoor climate is essential to worker productivity and personal happiness. It is also an area of large expenditure for building owners. And, with rising fuel costs, finding ways of reducing energy consumption is more important than ever. This idea is promoted further by the notion that most buildings are currently being run inefficiently, due to the non-adaptable nature of their control systems. Not just the occupants, but also the buildings themselves have ever changing needs, for which a single setpoint is inadequate. This dissertation presents a novel air-conditioning control system, focused around the individual, which remedies these inefficiencies through the creation of personalized environments. To date, the measurement of thermal preference has been limited to either a complex set of sensors attempting to determine a Predicted Mean Vote (PMV) value, or to direct polling of the user. The former is far too cumbersome and expensive for practical application, and the latter places an undue burden on the user. To overcome these limitations, an extremely low power, light weight, wireless sensor is developed which can measure temperature, humidity, activity and light level directly on the user's body. These data are used to immediately infer user comfort level, and to control an HVAC system in an attempt to minimize both cost and thermal discomfort. Experimental results are presented from a building under continual usage, modified with a wireless network with multiple sensing and actuating modalities.
(cont.) For four weeks, ten building occupants, in four offices and one common space, are thermally regulated via wristworn sensors controlling the local air-conditioning dampers and window operator motors. Comparisons are made to the previous four week period of standard air-conditioning control, showing an increase in comfort, while decreasing energy usage at the same time. The difficult problems of control adaptation, comfort determination, and user conflict resolution are addressed. Finally, the limitations of this format of control are discussed, along with the possible benefits and requirements of this proactive architecture.
by Mark Christopher Feldmeier.
Ph.D.
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Berglund, Jennie, and Magdalena Forsberg. "Personalized Communications : A Cross Media tool for the future." Thesis, Högskolan Dalarna, Grafisk teknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:du-5097.
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Personalized communication is when the marketing message is adapted to each individual by using information from a databaseand utilizing it in the various, different media channels available today. That gives the marketer the possibility to create a campaign that cuts through today’s clutter of marketing messages and gets the recipients attention. PODi is a non-profit organization that was started with the aim of contributing knowledge in the field of digital printingtechnologies. They have created a database of case studies showing companies that have successfully implemented personalizedcommunication in their marketing campaigns. The purpose of the project was therefore to analyze PODi case studies with the main objective of finding out if/how successfully the PODi-cases have been and what made them so successful. To collect the data found in the PODi cases the authors did a content analysis with a sample size of 140 PODi cases from the year 2008 to 2010. The study was carried out by analyzing the cases' measurable ways of success: response rate, conversion rate, visited PURL (personalized URL:s) and ROI (Return On Investment). In order to find out if there were any relationships to be found between the measurable result and what type of industry, campaign objective and media vehicle that was used in the campaign, the authors put up different research uestions to explore that. After clustering and merging the collected data the results were found to be quite spread but shows that the averages of response rates, visited PURL and conversion rates were consistently very high. In the study the authors also collected and summarized what the companies themselves claim to be the reasons for success with their marketing campaigns. The resultshows that the creation of a personalized campaign is complex and dependent on many different variables. It is for instance ofgreat importance to have a well thought-out plan with the campaign and to have good data and insights about the customer in order to perform creative personalization. It is also important to make it easy for the recipient to reply, to use several media vehicles for multiple touch points and to have an attractive and clever design.
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Kapanipathi, Pavan. "Personalized and Adaptive Semantic Information Filtering for Social Media." Wright State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1464541093.
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Ahmed, Abdul-Kareem H. "SIGN HERE : informed consent in personalized medicine." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/83832.
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Thesis (S.M. in Science Writing)--Massachusetts Institute of Technology, Dept. of Comparative Media Studies, 2013.Vita. Cataloged from PDF version of thesis.
Includes bibliographical references (pages 27-30).
The next era of medicine will be one of personalization, scientists and physicians promise. Personalized medicine is a refined clinical approach in which clinicians will utilize your genomic information to help you prevent disease, and tailor targeted therapies for you when you fall ill. This is the future science has slowly been approaching. However, the human genome is not enough, not unless we can decipher its language. One ambitious study to this effect is the Personal Genome Project, led by Dr. George Church at Harvard Medical School. This project will eventually recruit 100,000 volunteers to donate their genomes and a full body of information concerning their biological health. With this data, Church hopes others can cross-analyze these profiles and better determine the role in disease of each gene of the human genome. However, the Personal Genome Project is as much a study in the ethical, legal and social aspects of genomic studies as it is an effort toward personalized medicine. Church envisions a future where privacy cannot be guaranteed. Society is becoming more open and technology is more invasive than ever. Considering this, Church has informed his participants that their information will likely not remain anonymous. With their fully informed consent, he has in turn made all this data public, to promote open science. This ethical approach raises several important questions about expansive genomic studies. The scientific community will have to decide on an approach that will eventually deliver personalized medicine. On one end of the spectrum, there is Church's open approach, and the other, more security, more firewalls and more legislation. In order for personalized medicine to become a reality, society will have to prepare itself for our ever-changing ethical, technological and scientific landscape.
by Abdul-Kareem H. Ahmed.
S.M.in Science Writing
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Dienes, Klee. "Information architectures for personalized multimedia." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/29092.
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Durmén, Blunt Tina. "Personalized visualization of blog statistics." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-92842.
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This report documents the research, implementation and result for a master thesis in Media Technology and Engineering at Linkoping University. The aim of the project was to develop a personalized visualization application of blog statistics to be implemented on a web based community for blog authors. The purpose of the application is to provide the users with a tool to explore statistics connected to their own blog. Based on a literature study in usability and information visualization the application design was developed and implemented. The implementation resulted in a JavaScript based application, BlogVis, that allows the users to compare their own blog statistics with others, as well as compare periods of time in the statistic history of the blog.
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Gatenby, David Arthur Gray. "Galatea : personalized interaction with augmented objects." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33897.
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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2005.Includes bibliographical references (p. 94-97).
In Galatea, digitally augmented physical objects actively attract a person's attention to online information relevant to both the object and the person's interests. Galatea combines intelligent software agents and digitally augmented physical objects to uniquely bridge the gap between the two disciplines. In a unique twist on typical Ubiquitous Computing models that require intentional request for or asynchronous, periodic delivery of information, Galatea's smart objects proactively attract the attention of a nearby person by blinking a light when there is relevant information about the object. The object also sends the relevant information to the person's cell phone. We use books as our test case. Any augmented book can visually attract a user's attention when there is information it believes is relevant to the user. This information is personalized, i.e. unique to the person's interests, the current location, and the book, and when appropriate is delivered unobtrusively using the person's cell phone interface. A user can likewise request information from the books in the nearby vicinity by searching the books using their cell phone. A user study of and demonstration responses to Galatea show tradeoffs between the benefits of orienting information in objects and its usefulness as a collaborative tool, versus its potential as a distracting and invasive interface.
by David Arthur Gray Gatenby.
S.M.
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Miia, Andrada, and Kaili Dong. "Avoiding Personalized Ads on Social Media : Understanding how YouTube users experience personalized advertising and what leads to ad avoidance in the context of personalization." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-44135.
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Recent trends and developments in the fields of Big Data, Machine Learning, and Artificial Intelligence are completely transforming the way brands are engaging and communicating with their audience, allowing more personalized communications than ever. With the spread of social networking sites, such as Facebook, YouTube or Instagram a new opportunity arises for companies to connect to their consumers. However, since social media personalization implies the collection and analysis of highly personal data, consumers may develop negative reactions, attitudes or perceptions towards personalized advertising. Research covers extensively issues such as privacy concerns, invasiveness, forced exposure or irritation, which can lead to advertising avoidance. Though understanding the user perspective is crucial, the topic advertising avoidance in the context of personalization, especially in social media environments, hasn’t been discussed at great length. The purpose of this thesis is to understand how YouTube users experience personalized advertising while using the platform. The empirical findings of this thesis contribute to the ongoing research on personalized advertising within a social media setting. In addition, by understanding what can influence personalized ad avoidance on YouTube and describing how consumers express ad avoidance on the platform, this thesis aims to nurture a deeper understanding of the phenomenon. This study is based on an interpretative, abductive as well as a qualitative research design. It uses semi-structured interviews to explore the views, experiences, beliefs, and motivations of individual participants as well as focus groups that can leverage group dynamics to generate new qualitative data. The results of this thesis show that YouTube users experience ad avoidance in relationship with personalized ads for several reasons linked to prior negative attitudes, perceived goal impediment or ad irritation. The analysis of the findings revealed that users can experience cognitive, affective and behavioral ad avoidance as presented in the literature, but a theoretical model which can perfectly explain the phenomena of personalized ad avoidance on social media is currently not existent. While some antecedents claimed by the previously mentioned theoretical frameworks were also visible in the study, additional aspects may have an impact on how consumers experience personalized advertising avoidance in the social media environment, and more specifically on YouTube.
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Herman, Jeffrey Alan. "NewsTalk--a speech interface to a personalized information agent." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/29091.
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Idlbi, Abdulrahman Y. "Personalized extensions : democratizing the programming of virtual-physical interactions." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/95605.
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Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2014.Cataloged from PDF version of thesis. Page 90 blank.
Includes bibliographical references (pages 87-89).
This thesis describes a new framework that enables a wider range of people to extend and customize programming environments to support more personalized explorations, especially in the physical world. While the vocabulary of the Scratch programming language (http://scratch.mit.edu) can be extended to access hardware devices and web services through Scratch Extensions, creating an extension is not trivial and requires a significant level of technical expertise. This occasionally means having less personalized, more abstract language for those extensions. I describe and analyze the design of Personalized Extensions, an extension mechanism that allows the users of Scratch to personalize abstract Scratch extensions, and consequently help other users to have more meaningful learning experiences in the worlds which Scratch extensions allow them to access. I conclude by reflecting on some case studies where personalized extensions were used, and how they affected the learning experience of the users.
by Abdulrahman Y. idlbi.
S.M.
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Faaborg, Alexander James. "A goal-oriented user interface for personalized semantic search." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/34186.
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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, February 2006.Includes bibliographical references (v. 2, leaves 280-288).
Users have high-level goals when they browse the Web or perform searches. However, the two primary user interfaces positioned between users and the Web, Web browsers and search engines, have very little interest in users' goals. Present-day Web browsers provide only a thin interface between users and the Web, and present-day search engines rely solely on keyword matching. This thesis leverages large knowledge bases of semantic information to provide users with a goal-oriented Web browsing experience. By understanding the meaning of Web pages and search queries, this thesis demonstrates how Web browsers and search engines can proactively suggest content and services to users that are both contextually relevant and personalized. This thesis presents (1) Creo, a Programming by Example system that allows users to teach their computers how to automate interactions with their favorite Web sites by providing a single demonstration, (2) Miro, a Data Detector that matches the content of a Web page to high-level user goals, and allows users to perform semantic searches, and (3) Adeo, an application that streamlines browsing the Web on mobile devices, allowing users to complete actions with a minimal amount of input and output.
(cont.) An evaluation with 34 subjects found that they were more effective at completing tasks when using these applications, and that the subjects would use these applications if they had access to them. Beyond these three user interfaces, this thesis also explores a number of underlying issues, including (1) automatically providing semantics to unstructured text, (2) building robust applications on top of messy knowledge bases, (3) leveraging surrounding context to disambiguate concepts that have multiple meanings, and (4) learning new knowledge by reading the Web.
by Alexander James Faaborg.
S.M.
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Hillqvist, Oliver, and Östergren Amanda Johnsson. "The personalization-privacy paradox: personalized ads on social media : Exploring invasive ads on social media, in relation to perceived usefulness, consumer privacy and trust." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-95893.
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Background: In the realm of online digital marketing, personalization tailored around the user’s interests are becoming the norm. It is becoming more and more challenging for marketers to get the attention of relevant consumers and get heard through all the noise. While personalized marketing or individually customized advertisements are very prevalent and a norm when browsing the web, its incredible potential as a marketing strategy has not always been obvious. The implications of the internet, coupled with countless technological advances in both hardware and software, have made personalized marketing incredibly effective, hence so prevalent that many techniques are barely noticeable anymore. However, its usefulness towards the consumer is not possible without the same consumer paying with precious personal data, vital for personalization. Personalized advertising on social media sites offers the opportunity to direct ads specifically to user’s, this form of personalized and targeted marketing has raised concerns surrounding user’s privacy. It could have some serious consequences affecting consumer’s privacy, where privacy breaches could collect information without the consumer being aware of it, by clicking on ads. Purpose: The purpose of this thesis is to get a deeper understanding of how personalized ads on social media are generating feelings of invasiveness to users, in relation to privacy concerns, trust, perceived usefulness and the perceived amount of personalization felt. And what factors that are determining in, if an ad is perceived as either invasive or not by the user. Method: A quantitative method is used to conduct the research, which is used to test objective theories that examines the relationship between variables. In this study a deductive approach was implemented, the hypothesis development was greatly influenced by previous findings from relevant studies and literature. The choice of research design was to use a quantitative cross-sectional research approach, after considering the factors just mentioned above. This is applied to the study by looking at primary empirical data, collected through the use of an online self-completion questionnaire. This study will be using a multivariate analysis including three variables or more, and the data will be measured through a regression analysis, Pearson’s correlation coefficient (r) to measure construct validity, and Cronbach’s alpha to measure internal reliability. In the descriptive statistics dispersion and central tendency is analyzed, and the general distribution of the variables is analysed through skewness and kurtosis. contingency tables to analyse the relationship between different variables, and Pearson’s r to examine the relationship between interval and ratio variables. Conclusion: In conclusion, privacy concerns already held by the consumer, plays a huge role in determining whether personalized ads on social media, generates feelings of invasiveness upon the user or not.
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Van, Dyke Neil William 1971. "MindShare : knowledge sharing via personalized views on a composite ontology." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/9166.
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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2000."February 2000."
Includes bibliographical references (p. 87-91).
Ontologies, or ways of categorizing and describing things, have application to organizing information for human access and allowing software agents to exchange knowledge. The traditional approaches to ontology development involve dedicated effort by a small team of knowledge engineers in a slow and expensive process. We show that a composite ontology of information resources can be constructed from the personal ontologies of individuals in an organization via an ongoing process that combines normal personal organizing activities with low-impedence computer mediation. The MindShare approach is designed to facilitate this process within an organization of people who wish both to organize internal and public information for their personal benefit, and to leverage information previously discovered by others within the organization. MindShare software provides the user with an animated graphical ontology browser for organizing Web documents according to his or her personal ontology, and also for accessing the composite ontology as extensions of the personal ontology with an assisted bimodal browsing interface. The personal ontologies are mapped to the composite ontology by a process that includes MindShare term-based information retrieval methods to suggest existing topics when a user chooses to add a topic, and a variety of user interface affordances that encourage the user to add exposed pieces of the composite ontology to their personal ontology (and later build upon those pieces). We implemented the MindShare software and conducted an initial trial with a small group of users. The MindShare approach behaved as hoped, suggesting that the approach has promise and merits further investigation.
by Neil William Van Dyke.
S.M.
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Torres, Vázquez Joseline. "NORMALIZACIÓN DEL TEST DE PERSONALIDAD 16FP DE CATTEL EN ESTUDIANTES DEL NIVEL SUPERIOR DE UNA INSTITUCIÓN PÚBLICA DEL ESTADO DE MÉXICO." Tesis de Licenciatura, Universidad Autónoma del Estado de México, 2014. http://hdl.handle.net/20.500.11799/49918.
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El presente trabajo se basa en el estudio de la personalidad haciendo uso de la psicometría, debido a que tuvo como objetivo construir las normas para el 16 FP de Cattell, que como su propio nombre lo dice, es un cuestionario que estudia la personalidad a través de 16 Factores los cuales son; Factor A: Expresividad emocional, B: Inteligencia, C: Fuerza del yo, E: Dominancia, F: Impulsividad, G: Lealtad grupal, H: Aptitud situacional, I: Emotividad, L: Credibilidad, M: Actitud cognitiva, N: Sutileza, O: Consciencia, Q1: Posición social, Q2: Certeza individual, Q3: Autoestima, Q4: Estado de ansiedad.
La
presente investigación tuvo como objetivo construir las normas del 16 FP, para la población de estudiantes del nivel superior de una institución pública del Estado de México. Los resultados de esta investigación pueden ser aprovechados en la toma de decisión.El presente trabajo tuvo como objetivo construir las normas del 16 FP de Cattell, para la población de estudiantes del nivel superior de una institución pública del Estado de México, para lo cual se aplicó el cuestionario 16FP de Cattel a una muestra de 572 estudiantes, de los cuales 316 (55%) son hombres y 256 (45%) son mujeres, que se encuentran en un rango de 18 a 30 años de edad, donde la media de edad de la muestra es de 20 años con una desviación estándar de 2.5.
Universidad Autónoma del Estado de México
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Tubulekas, Alexis. "The effects of personalized email communication within loyalty programs for businesses without possibilities for e-commerce." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210038.
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Communicating data-driven and personalized marketing content is today common among large B2C businesses with loyalty programs. Email has become the standard digital channel for this type of communication as it offers high cost-efficiency among digital channels and great possibilities for creating appealing content customized to the customer. This thesis aims to identify what effects personalized communication through email can lead to within loyalty programs and whether businesses should invest in personalized email communication. The methodology consisted of two quantitative case studies in the form of data analysis on eleven personalized newsletters and one activation email for a business in the fuel and convenience industry. A series of qualitative interviews with individuals that work in the field of personalized communication was also conducted. The results show that the loyalty members to a large extent accept the communication and are exposed to the personalized content. The emails in the form of monthly newsletters did not show any consistent positive effects on increased sales, store visits or in upsell. The activation email, which was part of the activation phase in the customer lifecycle, showed greater promise as it increased number of visits and led to a positive overall upsell. Additional effects in the form of switching costs and brand awareness were also identified, as long as the content reaches the customers personalization is deemed relevant. Otherwise it risks alienating them as customers today expects digital marketing to be personalized. In summary, the effects of personalized email justifies investing in it, but one should be aware of what effects to expect.Kommunikation av data driven och individanpassad marknadsföring är idag vanligt bland stora kundbaserade företag med lojalitetsprogram. E-post har blivit standard som digital kanal för sådan typ av kommunikation främst för att den erbjuder hög kostnadseffektivitet och goda möjligheter att skapa attraktivt innehåll anpassat efter kund. Den här uppsatsen har som syfte att identifiera vilka effekter individanpassad kommunikation genom e-post kan leda till inom lojalitetsprogram, samt om företag bör investera i individanpassad e-post kommunikation. Metoden bestod av två kvantitativa fallstudier i form av analys av elva individanpassade nyhetsbrev och ett aktiveringsbrev av ett företag verksam inom bränsle och närbutik. En serie kvalitativa intervjuer hölls också med individer verksamma inom individanpassad kommunikation. Resultaten visar att lojalitetsmedlemmarna i hög grad accepterar kommunikationen och nås av innehållet. De individanpassade nyhetsbreven visade inga tydliga positiva effekter inom försäljning, butiksbesök eller merförsäljning. Aktiveringsmailet, som var en del av aktiveringsfasen i kundlivscykeln visade på mer lovande resultat genom att leda till fler butiksbesök och ledde till en positiv merförsäljning. Ytterligare effekter inom byteskostnad och varumärkesmedvetenhet identifierades även, såvida innehållet når kunderna och uppfattas som relevant. Om inte riskerar innehållet att stöta bort kunderna eftersom det idag förväntas att digital marknadsföring är individanpassad. Sammanfattningsvis så rättfärdigar de identifierade effekterna investering i individanpassad kommunikation, men man bör vara medveten om vilka effekterna är.
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Holmqvist, Josefin. "We're all fucking zombies : En etnografisk studie om hur personliga mobila medier används för att skapa vardaglig trygghet och rumslig mening." Thesis, Södertörns högskola, Institutionen för kultur och lärande, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-29353.
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This study examines how smartphones, laptops and tablets are used to create a sense of security, place, and time in the everyday lives of their consumers. Mark Deuze (2012) and his take on the modern society as a zombie apocalypse has been an inspiration for my work, there of the title. ”We’re all fucking zombies” is a metaphor for how highly-connected people of today are by living in and through the media, instead of living with it. To implement this I’ve chosen a phenomenological perspective, as it is the media-users’ subjective experiences of their everyday lives that I’m mainly interested in studying. I decided to focus on the mobile use of media since most of the research in this area focus on domestic media use. The theoretical framework that has set the foundation for the study is a combination of the time- space-dimensions of mobility, media as practice, symbolic interactionism, relational artifacts and phenomenological sociology. The purpose of using these theories is to get insight on how the media creates new opportunities for our social life, and to get an overview of how the new technological media leads to entirely new types of practices. The empirical data has been collected through a qualitative focus group interview with four respondents. They were selected to participate as they perceive themselves to be above average in comparison with the statistics of Mediebarometern (2014). The results showed that being connected through mobile media is considered to be of high importance. Although the ”connectedness” is only vital when being present in the locations directly related to the everyday life. Based on Silverstones (1994) explanation of phenomenology, and his studies of how television contributes to the ontological security, I conclude that the personalized mobile media has the same effect on it’s users.
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Scoutaris, Nikolaos. "Home based formulation of personalised medicines by means of inkjet printing technique." Thesis, University of Nottingham, 2011. http://eprints.nottingham.ac.uk/13381/.
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The potential application of inkjet printing technology to produce precisely dosage care is demonstrated in this thesis. Inkjet printing technology as it offers the opportunity to deliver quantities with high accuracy can produce medicines tailored for each patient. The viability of this method was first demonstrated by using Felodipine as an active pharmaceutical ingredient polyvinyl pirrolidone (PVP) as an excipient. Felodipine is an antihypertensive drug which is poorly soluble in water and PVP is a highly soluble polymer commonly used to improve drugs' bioavailability. These were dissolved at various ratios in a mixture of ethanol and DMSO (95/5). Using a piezoelectric driven dispenser, picolitre size droplets of the solutions were dispensed onto suitable hydrophobic substrates. The dried products were characterized using AFM, localized nano-thermal analysis and high resolution vibrational spectroscopy (ATR-IR and Raman). Results indicate intimate mixing of the micro-dot API and excipient mixtures. Specifically, ATR-IR confirmed the interaction of felodipine and PVP by means of hydrogen bonding. Nanothermal analysis indicates a single glass transition point which is lowered as the API concentration increases. Finally, confocal Raman microscopy mapping on single droplets allows the visualization of the homogeneous distribution of the drug. Also, capozide has been used as a model therapeutic system which could be produced rapidly as a viable formulation using the inkjet printing technology. Capozide consists of captopril, an angiotensin converting enzyme (ACE) inhibitor and hydrochlorothiazide, a thiazide diuretic drug, in varying ratios. These active pharmaceutical ingredients (APIs) and poly(lactic-co-glycolic acid) (PLGA) were dissolved in appropriate solvents and using a piezoelectric driven dispenser and pipetting, picolitre and microlitre size droplets respectively were deposited onto hydrophobic coated glass slides. Captopril and PLGA were dissolved in chloroform, ethanol and DMSO (75/18/7). Hydrochlorothiazide (HCT) and PLGA were dissolved in acetone and DMSO (93/7). The dried products where characterised using AFM and high resolution Raman microscopy. The results showed that both capropril and HCT are phase separated with the PLGA. Also, the dissolution profiles of the final products were measured using HPLC where it has been shown that PLGA can control the release of the drug from the formulation. These results are a promising first step to produce pharmaceutical by means of inkjet printing.
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Crain, Steven P. "Personalized search and recommendation for health information resources." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45805.
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Consumers face several challenges using the Internet to fill health-related needs. (1) In many cases, they face a language gap as they look for information that is written in unfamiliar technical language. (2) Medical information in social media is of variable quality and may be appealing even when it is dangerous. (3) Discussion groups provide valuable social support for necessary lifestyle changes, but are variable in their levels of activity. (4) Finding less popular groups is tedious. We present solutions to these challenges.
We use a novel adaptation of topic models to address the language gap. Conventional topic models discover a set of unrelated topics that together explain the combinations of words in a collection of documents. We add additional structure that provides relationships between topics corresponding to relationships between consumer and technical medical topics. This allows us to support search for technical information using informal consumer medical questions.
We also analyze social media related to eating disorders. A third of these videos promote eating disorders and consumers are twice as engaged by these dangerous videos. We study the interactions of two communities in a photo-sharing site. There, a community that encourages recovery from eating disorders interacts with the pro-eating disorder community in an attempt to persuade them, but we found that this attempt entrenches the pro-eating disorder community more firmly in its position.
We study the process by which consumers participate in discussion groups in an online diabetes community. We develop novel event history analysis techniques to identify the characteristics of groups in a diabetes community that are correlated with consumer activity. This analysis reveals that uniformly advertise the popular groups to all consumers impairs the diversity of the groups and limits their value to the community.
To help consumers find interesting discussion groups, we develop a system for personalized recommendation for social connections. We extend matrix factorization techniques that are effective for product recommendation so that they become suitable for implicit power-law-distributed social ratings. We identify the best approaches for recommendation of a variety of social connections involving consumers, discussion groups and discussions.
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Dolan, M. Cristina. "Not that they in or lose, but how you watch the game : personalized sports viewing." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/61084.
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Kersten, Brant B. "A Case for Hulu: How Personalized Advertising Will Bring About the Future of Television." Scholarship @ Claremont, 2012. http://scholarship.claremont.edu/cmc_theses/461.
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Hulu, a video-on-demand service that is rapidly growing in popularity, has been particularly effective at adapting the traditional television experience to the interactive internet medium. According to the U.S. Digital Consumer Report, Hulu is second only to Netflix among video-on-demand services in terms of their share of online video time, which amount to 6.9% and 10.7% respectively. Note that this excludes YouTube, as their content is not as comparable to typical television programming. This growing trend is not going unnoticed by advertisers, as the year-over-year increase in advertising expenditures through this medium amounted to 24% according to the Global AdView Pulse (compared to 10.1% for television). However, the empowerment that Hulu's revolutionary advertising strategy provides its viewers is arguably more important than the diversion of advertising from television to the internet. In this paper I conduct an extensive, qualitative exploration of various theoretical components of advertising, their effects on consumer behavior and television markets, and how video-on-demand services like Hulu have the potential to shift the focus of the television industry from advertisers back to consumers as progressive technology provides them with more attractive, alternative sources of content.
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Georgeson, Sofia, and Nicole Holmes. "Konsumenters upplevelse av företags användning av social media som en kanal för marknadsföringsaktiviteter : En kvalitativ intervjustudie på konsumenters upplevelse av social media, kundengagemang och personaliserad marknadsföring." Thesis, Södertörns högskola, Institutionen för samhällsvetenskaper, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-46195.
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Som ett resultat av att fler konsumenter idag befinner sig på social media samtidigt som fler företag strävar efter förbättrade kundrelationer har Socialt CRM (Customer Relationship Management) blivit en vital strategi för kundrelationer för företag. Socialt CRM är ännu ett relativt outforskat område som vid felaktig användning och implementering kan resultera i finansiella misslyckanden. Det är därför viktigt att genomföra forskning inom området så att företag ska veta om och hur de ska formulera sina strategier så att deras investeringar lönar sig. Denna studie syftar därför att öka förståelsen för vad konsumenter tycker om att företagen använder social media som en kanal för kundengagemang och personaliserad marknadsföring. Detta genomfördes genom att tillämpa en kvalitativ intervjustudie där nio konsumenter med aktiva profiler på social media intervjuades i syfte att öka förståelsen för konsumenternas uppfattningar avseende kundengagemang och personaliserad marknadsföring. Resultatet från studien uppvisade ett antal olika forskningsansatser som företag kan ta tillvara på, bland annat identifierades det att konsumenter upplever att emotionellt och rationellt innehåll på social media bör anpassas baserat på beroende vilken produkt eller tjänst som informationen avser. Resultatet visade även att konsumenter generellt uppskattar när företag är aktiva på social media och engagerar sig med kunder. Denna aktivitet gör konsumenter mer lojala och benägna till att köpa av företag med aktiva profiler. Avslutningsvis visade även resultatet att konsumenter överlag upplever personaliserad marknadsföring som något positivt och att personaliseringen har hög träffsäkerhet på social media. Samtidigt visade resultatet däremot att det finns ett antal aspekter inom personaliserad marknadsföring som kan effektiviseras samt att det krävs en balans för att marknadsföringen inte ska bli kränkande mot konsumentens integritet. Resultaten från denna studie ger upphov till vidare forskning inom området, förslagsvis kan balansen mellan personaliserad marknadsföring och användning av kunddata kvalitativt studeras genom intervjuer med företag.
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Kacem, Sahraoui Ameni. "Personalized information retrieval based on time-sensitive user profile." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30111/document.
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Les moteurs de recherche, largement utilisés dans différents domaines, sont devenus la principale source d'information pour de nombreux utilisateurs. Cependant, les Systèmes de Recherche d'Information (SRI) font face à de nouveaux défis liés à la croissance et à la diversité des données disponibles. Un SRI analyse la requête soumise par l'utilisateur et explore des collections de données de nature non structurée ou semi-structurée (par exemple : texte, image, vidéo, page Web, etc.) afin de fournir des résultats qui correspondent le mieux à son intention et ses intérêts. Afin d'atteindre cet objectif, au lieu de prendre en considération l'appariement requête-document uniquement, les SRI s'intéressent aussi au contexte de l'utilisateur. En effet, le profil utilisateur a été considéré dans la littérature comme l'élément contextuel le plus important permettant d'améliorer la pertinence de la recherche. Il est intégré dans le processus de recherche d'information afin d'améliorer l'expérience utilisateur en recherchant des informations spécifiques. Comme le facteur temps a gagné beaucoup d'importance ces dernières années, la dynamique temporelle est introduite pour étudier l'évolution du profil utilisateur qui consiste principalement à saisir les changements du comportement, des intérêts et des préférences de l'utilisateur en fonction du temps et à actualiser le profil en conséquence. Les travaux antérieurs ont distingué deux types de profils utilisateurs : les profils à court-terme et ceux à long-terme. Le premier type de profil est limité aux intérêts liés aux activités actuelles de l'utilisateur tandis que le second représente les intérêts persistants de l'utilisateur extraits de ses activités antérieures tout en excluant les intérêts récents. Toutefois, pour les utilisateurs qui ne sont pas très actifs dont les activités sont peu nombreuses et séparées dans le temps, le profil à court-terme peut éliminer des résultats pertinents qui sont davantage liés à leurs intérêts personnels. Pour les utilisateurs qui sont très actifs, l'agrégation des activités récentes sans ignorer les intérêts anciens serait très intéressante parce que ce type de profil est généralement en évolution au fil du temps. Contrairement à ces approches, nous proposons, dans cette thèse, un profil utilisateur générique et sensible au temps qui est implicitement construit comme un vecteur de termes pondérés afin de trouver un compromis en unifiant les intérêts récents et anciens. Les informations du profil utilisateur peuvent être extraites à partir de sources multiples. Parmi les méthodes les plus prometteuses, nous proposons d'utiliser, d'une part, l'historique de recherche, et d'autre part les médias sociauxRecently, search engines have become the main source of information for many users and have been widely used in different fields. However, Information Retrieval Systems (IRS) face new challenges due to the growth and diversity of available data. An IRS analyses the query submitted by the user and explores collections of data with unstructured or semi-structured nature (e.g. text, image, video, Web page etc.) in order to deliver items that best match his/her intent and interests. In order to achieve this goal, we have moved from considering the query-document matching to consider the user context. In fact, the user profile has been considered, in the literature, as the most important contextual element which can improve the accuracy of the search. It is integrated in the process of information retrieval in order to improve the user experience while searching for specific information. As time factor has gained increasing importance in recent years, the temporal dynamics are introduced to study the user profile evolution that consists mainly in capturing the changes of the user behavior, interests and preferences, and updating the profile accordingly. Prior work used to discern short-term and long-term profiles. The first profile type is limited to interests related to the user's current activities while the second one represents user's persisting interests extracted from his prior activities excluding the current ones. However, for users who are not very active, the short-term profile can eliminate relevant results which are more related to their personal interests. This is because their activities are few and separated over time. For users who are very active, the aggregation of recent activities without ignoring the old interests would be very interesting because this kind of profile is usually changing over time. Unlike those approaches, we propose, in this thesis, a generic time-sensitive user profile that is implicitly constructed as a vector of weighted terms in order to find a trade-off by unifying both current and recurrent interests. User profile information can be extracted from multiple sources. Among the most promising ones, we propose to use, on the one hand, searching history. Data from searching history can be extracted implicitly without any effort from the user and includes issued queries, their corresponding results, reformulated queries and click-through data that has relevance feedback potential. On the other hand, the popularity of Social Media makes it as an invaluable source of data used by users to express, share and mark as favorite the content that interests them
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Edo, Villamón Silvia. "A la búsqueda del continuo de los rasgos adaptativos y desadaptativos en la personalidad normal y la personalidad patológica." Doctoral thesis, Universitat Jaume I, 2012. http://hdl.handle.net/10803/669183.
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INTRODUCCIÓN: Aunque existe un acuerdo generalizado acerca de la necesidad de incorporar la personalidad normal y la personalidad patológica en un mismo ámbito de estudio seguimos atendiendo a un gran pluralismo conceptual y de modelos en este campo. La idea de continuidad que subyace a los modelos dimensionales que se proponen para la comprensión y diagnóstico de los trastornos de la personalidad (TP) en el próximo DSM-5, la adecuación de los mismos para representar adecuadamente dichas categorías diagnósticas o la búsqueda de factores latentes subyacentes a dichos modelos dimensionales son algunas de las cuestiones que la investigación en personalidad sigue teniendo pendientes de esclarecer. OBJETIVOS: 1) Comparar los perfiles de personalidad en muestras con diferentes grados de psicopatología a partir de dos modelos dimensionales: NEO-PI-R (personalidad normal) y el DAPP-BQ (personalidad patológica), 2) Obtener perfiles prototípicos de los TP del DSM-IV-TR mediante el NEO-PI-R y el DAPP-BQ, 3) Analizar la invarianza de medida del NEO-PI-R y el DAPP-BQ. MÉTODO: Diseño de comparación de 4 grupos naturales establecidos en base al grado de psicopatología en eje I y eje II: (G1)N=180, (G2)N=246, (G3)N=108, (G4)N=106. Instrumentos de evaluación: NEO-PI-R (Avia, 2000), DAPP-BQ (Gutiérrez-Zotes et al., 2008), IPDE (López-Ibor et al., 1996), SCID-II (First, Gibbon, et al., 1997), SCID-I (First, Spitzer, et al., 1997), BDI-II (Sanz et al., 2003), PSWQ (Meyer et al., 1990), FQ (Marks & Mathews, 1979), OCI-R (Fullana et al., 2005) y formulario de salud general. RESULTADOS: Los MANOVAs y ANOVAs realizados indican que los cuatro grupos pueden representarse en los perfiles del NEO-PI-R (personalidad normal) o del DAPP-BQ (personalidad patológica), existiendo diferencias estadísticamente significativas entre grupos para la mayoría de sus facetas y dimensiones. Los análisis de regresión jerárquica revelan facetas del NEO-PI-R y del DAPP-BQ que permiten predecir una parte de la varianza de los distintos TP del DSM-IV-TR, a pesar de ello no se confirman los perfiles prototípicos propuestos en estudios previos. Los análisis factoriales confirmatorios (AFC) revelan que las dimensiones Neuroticismo (N)-Desregulación emocional (DE), Extraversión (E)/Apertura (Ap)-Inhibición (I), Amabilidad (Am)-Conducta disocial (CD) podrían ser explicadas por las mismas variables latentes subyacentes. CONCLUSIONES: Poblaciones clínicas y no clínicas pueden representarse a través del NEO-PI-R y el DAPP-BQ, lo cual está a favor de la idea de la continuidad entre personalidad normal y patológica, siendo las dimensiones N, E y DE las que mejor permiten discriminar presencia y gravedad psicopatológica. Aunque existen facetas en estos dos instrumentos útiles para representar los TP todavía no es posible identificar perfiles dimensionales firmes. Aun cuando los niveles de ajuste no son totalmente adecuados, parece existir una estructura factorial latente común al NEO-PI-R y al DAPP-BQ.
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Falk, Sofia. "May the algorithm be with you : En mixed method studie om Instagrams personliga algoritmer." Thesis, Stockholms universitet, Institutionen för mediestudier, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-156939.
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Det sociala mediet Instagram är en applikation där människor världen runt kan dela med sig av resor, måltider och den nya familjemedlemmens ankomst. Genom att kommentera, gilla, arkivera och utforska kan användaren hålla sig uppdaterad dygnet runt. När Instagram i mars 2016 meddelade att de skulle införa algoritmer, vilka profilerar och kartlägger användare, ändrades rangordningen på inläggen i användarnas flöde. Vem som nu får se vad, när och hur styrs av dessa osynliga matematiska formler. Studien syftar till att undersöka hur svenska Instagramanvändare i åldern 15-40 år upplever dessa personliga algoritmer och huruvida dessa har en inverkan på hur de använder sig av applikationen. Då Instagram är tätt förknippat med att visa upp sig själv ser jag det även intressant att undersöka vilken roll algoritmerna har för individernas syn på sig själva. Genom mixed methods kommer både en enkät och kvalitativa intervjuer att utföras för att få en genomgripande förståelse för fenomenet på flera plan. Den kvantitativa delen ämnar att skapa en mer generell uppfattning hur individerna upplever algoritmerna och hur deras användning ser ut. Detta medan den kvalitativa delen är till för att fördjupa förståelsen för relationen mellan individerna och algoritmerna. Med hjälp av teorier rörande synlighet, algoritmer och identitet är målet att få en djupare förståelse för detta tämligen nya fenomen. Analysens resultat visar att medvetenheten är måttlig och kunskapen om algoritmerna är relativt begränsad. Det finns en tydlig skillnad mellan de som har skapat egna teorier om hur algoritmerna fungerar och de som är helt omedvetna. Vidare var det tydligt att algoritmerna hade en inverkan - både medvetet och omedvetet - på individerna vad gällde olika strategier för att bättre synas och få likes. Slutligen visade det sig att de personliga algoritmerna spelar en jämförelsevis stor roll för individernas syn på sig själva i termer av validitet och reflektion.
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Schembri, Francesca M. "The promise and perils of personalized learning : keeping students at the center of the ed tech revolution." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/119967.
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Thesis: S.M. in Science Writing, Massachusetts Institute of Technology, Department of Comparative Media Studies/Writing, 2018.Cataloged from PDF version of thesis.
Includes bibliographical references (pages 23-31).
As access to education technology - high-speed Internet connectivity, lower-cost computers, and online learning programs - has increased over the past five years in K-12 schools in the United States, the debate over technology's place in the classroom, specifically its ability to usher in a new era of education personalized to meet the needs of every individual student, has raged on. Much of the narrative perpetuated by technology companies around educational reform has centered on an idea that outside, tech-driven "disruption" is needed in order for real transformation. However, many school districts have found more success moving towards personalized learning when the disruption is homegrown, scaled carefully, involves all community stakeholders, and is driven by pedagogy, not technology. This thesis examines in depth one school district, Kettle Moraine School District in Wisconsin, and their success in creating personalized learning experiences for their students, as a case study for how other districts might approach homegrown disruptions of their own.
by Francesca M. Schembri.
S.M. in Science Writing
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Eriksson, Sophie. "Den politiska budbäraren : Medias personifiering i en digital värld?" Thesis, Linnéuniversitetet, Institutionen för statsvetenskap (ST), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-74862.
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When the elections are getting closer, media starts to reports more frequently aboutpolitical parties, leaders and issues to enlighten the public. But the media changes just as time changes as well. Framing and entertainment/ advertising tends to be more common in political media in our time. Studies in media globalization and researches from the newest election in USA shows that the political media has become more personalized, which, according to some hasan effect on the public’s attitude or belief towards politics and leaders. In that very situation, I got interested in finding out if and how the political communication with personalization vs. party-orientated as leading question, has changed in Sweden and USA from the beginning of the millennium to 2016. As help, framing has been used to find entertainment, personalization and party-oriented terms in 200 news articles. The findings and conclusions are as following; the political medias have changed to a new agenda, with framing and entertainment setting political news in a new light and perspective.
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Stevens, Arlonda M. "ANTECEDENTS AND OUTCOMES OF PERCEIVED CREEPINESS IN ONLINE PERSONALIZED COMMUNICATIONS." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1459413626.
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Somera, Sandra Lopez. "Educator Experiences Transitioning to a Blended Learning Environment in K-6 Public." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/4815.
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Enrollments in blended learning programs are growing, creating a challenge to find educators who understand blended learning pedagogy. The purpose of this study was to identify and understand the challenges and pedagogical transformations of elementary educators who recently adopted blended learning. The concerns-based adoption model provided a conceptual framework to examine teacher concerns and level of implementation of innovative change. A multiple case study design was used to capture the experiences and perceptions of the participants' transition to a blended learning environment. Two teachers in one school in a California school district that transitioned to a blended learning approach were cases studied. The participants were a 4th and a 6th grade teacher who had taught the same grade level at their current school at least 1 year prior to its transition to a blended learning approach. The data collection process included interviews, classroom observations, and document reviews. The participants were interviewed on their understanding of blended learning and their changes in pedagogy. Classroom observations and documents were analyzed using pattern-matching to provide corroborating evidence. The teachers perceived an increase in student-teacher interactions and indicated a need for more guidance developing their blended learning program and support curating resources during the transition to blended learning. A self-paced online professional development program was designed to provide the training needed to support the teachers in their transition. The project study could lead to positive social change by identifying teacher support needed to transition from a traditional teaching environment to a blended learning environment.
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Peng, Fengjiao S. M. Massachusetts Institute of Technology. "My Personalized Movies : novel system for automatically animating a movie based on personal data and evaluation of its impact on affective and cognitive experience." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120674.
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Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2018.Cataloged from PDF version of thesis.
Includes bibliographical references (pages 73-77).
Storytelling is a fundamental way in which human beings make sense of the world. Animated movies tell stories that engage audience across culture and age groups. I designed and built My Personalized Movies (MPM), a novel system where animated stories are automatically created based on data provided by individuals. The data include self-tracked mood and behavior captured in quantitative measures and descriptive text. MPM is designed to engage viewers through an emotive narrative, induce self-reflection about their mood and behavior patterns, and to improve self-compassion and self-esteem, which mediates behavior change. I demonstrate with a few stages of studies, involving in total 107 participants, that viewers show strong emotional engagement with MPM and can explicitly connect animated characters' stories to one's past experiences. An analysis of 22 participants' facial expression data during MPM reveals that participants' change in implicit self-esteem is positively correlated with the happiness of their facial expression. Participants with higher depression severity, as measured by PHQ9, showed less positive facial expression at the happy moments in the animation.
by Fengjiao Peng.
S.M.
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Edström, Alice, and Bo Björkman. "An Empirical Study Concerning Filter Bubbles and Echo Chambers : The perception of personalized content in news applications." Thesis, Södertörns högskola, Medieteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-39124.
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The aim of this study was to investigate the perception of personalization on news applications and to examine to what extent it is seen as an optimal solution for users to receive information. Due to the growth of online news and digital journalism the amount of information that is being published online is significantly higher nowadays than it has previously been. Therefore, a recommendation system called personalization has been introduced to choose content for the reader. Many concerns of personalization have already been brought to light, these concerns are believed to be contributing to filter bubbles and echo chambers. This study will investigate these concerns further in order to understand the users. The methodology used in the study were semi-structured interviews and an analysis based on the concerns brought forward by Borgesius et al. Six interviews were conducted with users and two were conducted with major news organizations in Sweden. The results of the study indicate that users fear personalization will cause filter bubbles and polarization due to them only being subjected to one perspective. The users are unaware as to how personalization works and therefore question why it is being introduced into news applications. Due to personalization being a new phenomenon news applications it is not yet seen as an optimal solution by users or news organizations. There are, however, many factors that can assist in its development such as transparency and awareness of the phenomenon.
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Avalos, Sifuentes Carolina Alexandra. "Adicción a Redes Sociales y Rasgos de Personalidad en Universitarios Peruanos." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2020. http://hdl.handle.net/10757/653679.
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El presente estudio tuvo como objetivo examinar la relación entre la adicción a redes sociales y rasgos de personalidad en universitarios peruanos. Se contó con la participación de 813 jóvenes y adultos de Lima Metropolitana, cuyas edades oscilaron entre 18 a 36 años (Media = 20.69; DE = 3.94); 18.33 % son varones y 81.67 % son mujeres. Se administró, el Cuestionario de Adicción a Redes Sociales de Escurra y Salas (2014) e Inventario de personalidad “Big Five Inventory-15-P (Dominguez-Lara & Merino-Soto, 2018). Los resultados revelan que existe una gran relación entre la ARS con Responsabilidad, para Neuroticismo, Afabilidad y Extraversión la relación es moderada; para Apertura a la Experiencia, pequeña. Asimismo, las comparaciones según sexo, indican que las puntuaciones en los factores de personalidad son superiores en las mujeres; mientras que, los varones tienen puntuaciones más altas en las dimensiones del ARS. Se discuten los resultados y sus implicancias.The present study aimed to examine the relationship between addiction to social networks and personality traits in Peruvian university students. 813 young people and adults from Metropolitan Lima participated; whose ages ranged from 18 to 36 years (Mean = 20.69; SD = 3.94); 18.33% are male and 81.67 % are female. The Escurra y Salas (2014) Social Media Addiction Questionnaire and the Personality Inventory “Big Five Inventory-15-P (Dominguez-Lara & Merino-Soto, 2018) were administered. The results reveal that there is a great relationship between SNA and Responsibility, while Neuroticism, Affability and Extraversion correlations are moderate; the lowest relationship is presented by Openess to Experience. Likewise, the comparisons according to sex indicate that the scores in the personality factors are higher in women; while, males have higher scores on the ARS dimensions. However, the magnitude of the difference is small for most. The results and their implications are discussed.
Trabajo de investigación
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Giménez, Fayos María Teresa. "Natural Language Processing using Deep Learning in Social Media." Doctoral thesis, Universitat Politècnica de València, 2021. http://hdl.handle.net/10251/172164.
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[ES] En los últimos años, los modelos de aprendizaje automático profundo (AP) han revolucionado los sistemas de procesamiento de lenguaje natural (PLN).
Hemos sido testigos de un avance formidable en las capacidades de estos sistemas y actualmente podemos encontrar sistemas que integran modelos PLN de manera ubicua.
Algunos ejemplos de estos modelos con los que interaccionamos a diario incluyen modelos que determinan la intención de la persona que escribió un texto, el sentimiento que pretende comunicar un tweet o nuestra ideología política a partir de lo que compartimos en redes sociales.
En esta tesis se han propuestos distintos modelos de PNL que abordan tareas que estudian el texto que se comparte en redes sociales. En concreto, este trabajo se centra en dos tareas fundamentalmente: el análisis de sentimientos y el reconocimiento de la personalidad de la persona autora de un texto.
La tarea de analizar el sentimiento expresado en un texto es uno de los problemas principales en el PNL y consiste en determinar la polaridad que un texto pretende comunicar. Se trata por lo tanto de una tarea estudiada en profundidad de la cual disponemos de una vasta cantidad de recursos y modelos.
Por el contrario, el problema del reconocimiento de personalidad es una tarea revolucionaria que tiene como objetivo determinar la personalidad de los usuarios considerando su estilo de escritura. El estudio de esta tarea es más marginal por lo que disponemos de menos recursos para abordarla pero que no obstante presenta un gran potencial.
A pesar de que el enfoque principal de este trabajo fue el desarrollo de modelos de aprendizaje profundo, también hemos propuesto modelos basados en recursos lingüísticos y modelos clásicos del aprendizaje automático. Estos últimos modelos nos han permitido explorar las sutilezas de distintos elementos lingüísticos como por ejemplo el impacto que tienen las emociones en la clasificación correcta del sentimiento expresado en un texto.
Posteriormente, tras estos trabajos iniciales se desarrollaron modelos AP, en particular, Redes neuronales convolucionales (RNC) que fueron aplicadas a las tareas previamente citadas. En el caso del reconocimiento de la personalidad, se han comparado modelos clásicos del aprendizaje automático con modelos de aprendizaje profundo, pudiendo establecer una comparativa bajo las mismas premisas.
Cabe destacar que el PNL ha evolucionado drásticamente en los últimos años gracias al desarrollo de campañas de evaluación pública, donde múltiples equipos de investigación comparan las capacidades de los modelos que proponen en las mismas condiciones. La mayoría de los modelos presentados en esta tesis fueron o bien evaluados mediante campañas de evaluación públicas, o bien emplearon la configuración de una campaña pública previamente celebrada. Siendo conscientes, por lo tanto, de la importancia de estas campañas para el avance del PNL, desarrollamos una campaña de evaluación pública cuyo objetivo era clasificar el tema tratado en un tweet, para lo cual recogimos y etiquetamos un nuevo conjunto de datos.
A medida que avanzabamos en el desarrollo del trabajo de esta tesis, decidimos estudiar en profundidad como las RNC se aplicaban a las tareas de PNL.
En este sentido, se exploraron dos líneas de trabajo.
En primer lugar, propusimos un método de relleno semántico para RNC, que plantea una nueva manera de representar el texto para resolver tareas de PNL. Y en segundo lugar, se introdujo un marco teórico para abordar una de las críticas más frecuentes del aprendizaje profundo, el cual es la falta de interpretabilidad. Este marco busca visualizar qué patrones léxicos, si los hay, han sido aprendidos por la red para clasificar un texto.[CA] En els últims anys, els models d'aprenentatge automàtic profund (AP) han revolucionat els sistemes de processament de llenguatge natural (PLN). Hem estat testimonis d'un avanç formidable en les capacitats d'aquests sistemes i actualment podem trobar sistemes que integren models PLN de manera ubiqua. Alguns exemples d'aquests models amb els quals interaccionem diàriament inclouen models que determinen la intenció de la persona que va escriure un text, el sentiment que pretén comunicar un tweet o la nostra ideologia política a partir del que compartim en xarxes socials. En aquesta tesi s'han proposats diferents models de PNL que aborden tasques que estudien el text que es comparteix en xarxes socials. En concret, aquest treball se centra en dues tasques fonamentalment: l'anàlisi de sentiments i el reconeixement de la personalitat de la persona autora d'un text. La tasca d'analitzar el sentiment expressat en un text és un dels problemes principals en el PNL i consisteix a determinar la polaritat que un text pretén comunicar. Es tracta per tant d'una tasca estudiada en profunditat de la qual disposem d'una vasta quantitat de recursos i models. Per contra, el problema del reconeixement de la personalitat és una tasca revolucionària que té com a objectiu determinar la personalitat dels usuaris considerant el seu estil d'escriptura. L'estudi d'aquesta tasca és més marginal i en conseqüència disposem de menys recursos per abordar-la però no obstant i això presenta un gran potencial. Tot i que el fouc principal d'aquest treball va ser el desenvolupament de models d'aprenentatge profund, també hem proposat models basats en recursos lingüístics i models clàssics de l'aprenentatge automàtic. Aquests últims models ens han permès explorar les subtileses de diferents elements lingüístics com ara l'impacte que tenen les emocions en la classificació correcta del sentiment expressat en un text. Posteriorment, després d'aquests treballs inicials es van desenvolupar models AP, en particular, Xarxes neuronals convolucionals (XNC) que van ser aplicades a les tasques prèviament esmentades. En el cas de el reconeixement de la personalitat, s'han comparat models clàssics de l'aprenentatge automàtic amb models d'aprenentatge profund la qual cosa a permet establir una comparativa de les dos aproximacions sota les mateixes premisses. Cal remarcar que el PNL ha evolucionat dràsticament en els últims anys gràcies a el desenvolupament de campanyes d'avaluació pública on múltiples equips d'investigació comparen les capacitats dels models que proposen sota les mateixes condicions. La majoria dels models presentats en aquesta tesi van ser o bé avaluats mitjançant campanyes d'avaluació públiques, o bé s'ha emprat la configuració d'una campanya pública prèviament celebrada. Sent conscients, per tant, de la importància d'aquestes campanyes per a l'avanç del PNL, vam desenvolupar una campanya d'avaluació pública on l'objectiu era classificar el tema tractat en un tweet, per a la qual cosa vam recollir i etiquetar un nou conjunt de dades. A mesura que avançàvem en el desenvolupament del treball d'aquesta tesi, vam decidir estudiar en profunditat com les XNC s'apliquen a les tasques de PNL. En aquest sentit, es van explorar dues línies de treball.En primer lloc, vam proposar un mètode d'emplenament semàntic per RNC, que planteja una nova manera de representar el text per resoldre tasques de PNL. I en segon lloc, es va introduir un marc teòric per abordar una de les crítiques més freqüents de l'aprenentatge profund, el qual és la falta de interpretabilitat. Aquest marc cerca visualitzar quins patrons lèxics, si n'hi han, han estat apresos per la xarxa per classificar un text.
[EN] In the last years, Deep Learning (DL) has revolutionised the potential of automatic systems that handle Natural Language Processing (NLP) tasks. We have witnessed a tremendous advance in the performance of these systems. Nowadays, we found embedded systems ubiquitously, determining the intent of the text we write, the sentiment of our tweets or our political views, for citing some examples. In this thesis, we proposed several NLP models for addressing tasks that deal with social media text. Concretely, this work is focused mainly on Sentiment Analysis and Personality Recognition tasks. Sentiment Analysis is one of the leading problems in NLP, consists of determining the polarity of a text, and it is a well-known task where the number of resources and models proposed is vast. In contrast, Personality Recognition is a breakthrough task that aims to determine the users' personality using their writing style, but it is more a niche task with fewer resources designed ad-hoc but with great potential. Despite the fact that the principal focus of this work was on the development of Deep Learning models, we have also proposed models based on linguistic resources and classical Machine Learning models. Moreover, in this more straightforward setup, we have explored the nuances of different language devices, such as the impact of emotions in the correct classification of the sentiment expressed in a text. Afterwards, DL models were developed, particularly Convolutional Neural Networks (CNNs), to address previously described tasks. In the case of Personality Recognition, we explored the two approaches, which allowed us to compare the models under the same circumstances. Noteworthy, NLP has evolved dramatically in the last years through the development of public evaluation campaigns, where multiple research teams compare the performance of their approaches under the same conditions. Most of the models here presented were either assessed in an evaluation task or either used their setup. Recognising the importance of this effort, we curated and developed an evaluation campaign for classifying political tweets. In addition, as we advanced in the development of this work, we decided to study in-depth CNNs applied to NLP tasks. Two lines of work were explored in this regard. Firstly, we proposed a semantic-based padding method for CNNs, which addresses how to represent text more appropriately for solving NLP tasks. Secondly, a theoretical framework was introduced for tackling one of the most frequent critics of Deep Learning: interpretability. This framework seeks to visualise what lexical patterns, if any, the CNN is learning in order to classify a sentence. In summary, the main achievements presented in this thesis are: - The organisation of an evaluation campaign for Topic Classification from texts gathered from social media. - The proposal of several Machine Learning models tackling the Sentiment Analysis task from social media. Besides, a study of the impact of linguistic devices such as figurative language in the task is presented. - The development of a model for inferring the personality of a developer provided the source code that they have written. - The study of Personality Recognition tasks from social media following two different approaches, models based on machine learning algorithms and handcrafted features, and models based on CNNs were proposed and compared both approaches. - The introduction of new semantic-based paddings for optimising how the text was represented in CNNs. - The definition of a theoretical framework to provide interpretable information to what CNNs were learning internally.
Giménez Fayos, MT. (2021). Natural Language Processing using Deep Learning in Social Media [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/172164
TESIS
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Lundengård, Niklas. "Den personfixerade politiken : En innehållsanalys av Nagens Nyheters rapportering från det amerikanska presidentvalrörelsen 2008." Thesis, University of Kalmar, School of Communication and Design, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hik:diva-1109.
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The purpose of this essay has been to describe and compare the personal qualities that the Swedish newspaper Dagens Nyheter (DN) tried to associate Barack Obama and John McCain with during the American presidential election campaign 2008. The main question to be answered is: What social and physical characters as well as what personal experiences, interest and resources did DN tried to emphasize regarding John McCain and Barack Obama during the American presidential election campaign 2008. The theoretical starting-point has been John B Thompson’s theory of the mediated publicity and John Corner´s theory of political persona and spheres of action. Various DN news texts, in all 38 articles, have been examined by content analysis from 25th of august to the 4th of November. The main results show that the most frequent mentioned qualities about Barack Obamas was his skin colour, ethnicity and speech talents. The most frequent mentioned qualities about John McCain was his age and his military experiences from the Vietnam War. The conclusion that can be drawn from this study is that the qualities described in DN created a picture of two different politicians. Many of the qualities that was mentioned have no connection to politics and even if they was just mentioned one time can they play a significant role in trying to build confidence. Many of the qualities that was mentioned are qualities that necessary not have to be seen as positive.
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Pedersen, Steen Emelie. "Individanpassad enligt vem? Riktad marknadsföring på Instagram ur ett konsumentperspektiv." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20924.
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Följande studie har syftat till att undersöka hur Instagrams primära användargrupp i Sverige upplever riktad marknadsföring från företag som aktivt placerar sig på Instagram. Studien har haft en kvalitativ utformning och de metoder som använts för insamlingen av data har varit sju enskilda djupintervjuer med tjejer i åldrarna 20-25 år, vilket är en del av Sveriges primära användargrupp idag. Djupintervjuerna har även kompletterats med observationer där de intervjuade ombetts använda Instagram för att visa sin dagliga aktivitet i applikationen och exponering för individanpassad reklam. Resultatet som framkom genom den insamlade empirin och teorin i studien visade på att upplevelsen av den individanpassade marknadsföringen från företag och Influenser på Instagram var blandat negativ och positiv. De som ställde sig positiva till marknadsföringen ansåg i större utsträckning att den reklam de tog del av var relevant och anpassad efter dem. De negativt inställda intervjudeltagarna menade istället att reklamen saknade personlig koppling till dem och därför upplevdes irrelevant. I studien framkom det däremot att deltagarna upplevde den individanpassade annonseringen från företag bäst i form av samarbeten tillsammans med Influenser och den reklam som företag delade i under egna företagskonton som intervjudeltagaren själv valt att följa. Den form som de upplevde var minst personligt anpassad för dem var den reklam som uppkom från företag genom direktreklam i deltagarnas Instagramflöde.The following study has aimed to investigate how Instagram's primary user group in Sweden experiences targeted marketing from companies that actively place themselves on Instagram. The study has had a qualitative design and the methods used for the collection of data have been seven individual in-depth interviews with girls aged 20-25, which is a part of Sweden's primary user group today. The in-depth interviews have also been supplemented with observations where the interviewees were asked to use Instagram to show their daily activity in the application and exposure to personalized advertising. The result that emerged from the collected empirical data and the theory in the study showed that the experience of the individualized marketing from companies and Influences on Instagram was mixed negatively and positively. Those who favored the marketing considered to a greater extent that the advertising they took part of was relevant and adapted to them. Instead, the negative participants of the interview meant that the advertisement lacked a personal connection to them and therefore felt irrelevant. In the study, on the other hand, it emerged that the participants experienced the individualized advertising from companies best in the form of collaborations with Influences and the advertising that companies shared in their own company accounts that the interviewee himself chose to follow. The form that they experienced was least personalized for them was the advertising that came from companies through direct mail in the participants' Instagram feed.
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Fuentes, León Placida, and Mattos Dustin Junior Huerta. "Análisis de los rasgos de personalidad de los ejecutivos del mando medio para mitigar los riesgos en la gestión empresarial." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2019. http://hdl.handle.net/10757/628072.
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El presente trabajo de investigación, consiste en determinar la personalidad en la gestión de los ejecutivos de mando medio en el sector empresarial, basados en el análisis del riesgo en la toma de decisiones. Se analizó a los ejecutivos de mando medio, ya que cuentan con autonomía para la toma de decisiones que impactaran directamente en el destino de la organización. El problema de investigación fue analizar la relación directa entre los rasgos de personalidad y el riesgo en la toma de decisiones ( asunción o aversión al riesgo) , orientados a la gestión y rendimiento empresarial de un ejecutivo de mando medio. Dicho análisis, ayudará a las organizaciones a implementar los rasgos de personalidad dentro del perfil laboral en el proceso de selección de personal.
Se analizaron cuatro criterios: (i) Existe una relación directa entre los rasgos de personalidad y el riesgo en la toma de decisiones, (ii) Los rasgos de personalidad de los ejecutivos del mando medio orientados a su gestión y rendimiento en el sector empresarial, (iii) Existen diferentes investigaciones como el indicador tipo Myers-Briggs que nos permite identificar los rasgos de personalidad más importantes y por ultimo (iv) Demostrar la relevancia de los rasgos de personalidad que tienen los ejecutivos de mando medio en su gestión empresarial. Nuestra investigación pretende recomendar la implementación de un perfil laboral (rasgos de personalidad) más idóneo con los rasgos de personalidad de los ejecutivos de mando medio que aseguren un buen clima laboral dentro de la organización.The present research work, consists of determining the personality in the management of middle management executives in the business sector, based on risk analysis in decision making. Mid-level executives were analyzed, as they have autonomy to make decisions that directly impact the destiny of the organization. The research problem was to analyze the direct relationship between personality traits and risk in decision making (assumption or aversion to risk), aimed at the management and business performance of a middle management executive. This analysis will help organizations to implement personality traits within the work profile in the personnel selection process. Four criteria were analyzed: (i) There is a direct relationship between personality traits and risk in decision-making, (ii) The personality traits of middle management executives oriented to their management and performance in the business sector, (iii) There are different researches such as the Myers-Briggs type indicator that allows us to identify the most important personality traits and finally (iv) Demonstrate the relevance of the personality traits that middle management executives have in their business management. Our research aims to recommend the implementation of a profile (personality traits) best suited to the personality traits of middle management executives that ensure a good working environment within the organization.
Trabajo de Suficiencia Profesional
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Lagerwall, Cecilia. "Advisory support for increased efficiency and customer experience." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148451.
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Juridik är för många svårt att förstå och många tror att det är dyrt att få juridisk rådgivning. Det är inte heller alla som är medvetna om vad lagen säger i olika livssituationer. Exempelvis ärver sambos inte varandra och ett minderårigt barn måste få ut sitt arv i likvida medel. Syftet med det här examensarbetet har varit att skapa ett verktyg som genererar ett juridiskt och personligt dokument baserat på den berördas livssituation. Dokumentet ska innehålla en rekommendation av vilka juridiska avtal kund behöver och varför de behövs. Verktyget har utvecklats för jurister och dokumentationen är skapad med intentionen att vara lättförståelig för gemene man. För att uppnå syftet och målen har användarcentrad design använts. Personas, kundresor, intervjuer och användartester är några tekniker som har använts under arbetet.
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Nordlund, Linnea, and Linda Persson. "Konsumenters perspektiv på anpassad annonsering : En kvalitativ studie om konsumenters attityder till individanpassad annonsering på sociala medier." Thesis, Högskolan i Gävle, Avdelningen för ekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-36481.
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Bortz, Patrick Robert. "A Formative Evaluation of a Smartphone Application for Couples: The Affectionate Gesture Planner." UKnowledge, 2016. http://uknowledge.uky.edu/hes_etds/44.
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The Affectionate Gesture Planner (AGP) is a smartphone application (i.e., “app”) that aims to increase relationship satisfaction for couples in long-term relationships by prompting couples to complete loving acts for each other on a daily basis. The AGP app is informed by concepts from social exchange theory and the investment model (Rusbult, 1983), which predict that increasing the mutual exchange of beneficial investments to the relationship improves the quality and stability of the relationship. The present study is a formative evaluation on the prototype of the AGP app. Based on participant feedback, the AGP app will be improved prior to future trials. Future models of the AGP app will be used to compare the efficacy of using standardized suggestions versus personalized prompts.
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Martín, Perpiñá Mercedes. "Uso excesivo de las TIC y las redes sociales y media multitasking en adolescentes: estudio sobre su relación con la personalidad, el contexto social y las funciones ejecutivas." Doctoral thesis, Universitat de Girona, 2019. http://hdl.handle.net/10803/669782.
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The excessive use of ICT and Social Networks, and Media Multitasking among adolescents is a complex phenomenon due to the multiplicity of factors involved in its genesis. The main objective is the study of the excessive use of ICT and its relationship with variables of personality and social context in adolescents. Using a descriptive methodology with probabilistic sample, a random sample of 1,102 adolescents between 11 and 18 years old has been studied (M = 14.42, SD = 1.78), enrolled in six educational centers in the Alt Empordà region (Girona, Spain). Objective evidence and self-report questionnaires have been used to evaluate the different variables. It is noted as excessive use and Media Multitasking, is related with a negative impact on multiple psychological and social factors such as subjective well-being, social support, self-concept, academic performance and Executive Functions, among othersEl uso excesivo de las TIC y las Redes Sociales, y el Media Multitasking entre los adolescentes es un fenómeno complejo debido a la multiplicidad de factores que intervienen en su génesis. El objetivo principal es el estudio del uso excesivo de las TIC y su relación con variables de personalidad y de contexto social en adolescentes. Mediante metodología descriptiva con muestras probabilísticas, se ha estudiado una muestra aleatoria de 1.102 adolescentes de entre 11 y 18 años (M=14,42, DT=1,78), escolarizados en seis centros educativos de la comarca del Alt Empordà (Girona, España). Para la evaluación de las diferentes variables se han utilizado pruebas objetivas y cuestionarios tipo autoinforme. Se constata como el uso excesivo y el Media Multitasking, tiene un impacto negativo en múltiples factores psicológicos y sociales como el bienestar subjetivo, el apoyo social, el autoconcepto, el rendimiento académico y las Funciones Ejecutivas, entre otros
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Yang, Dingqi. "Understanding human dynamics from large-scale location-centric social media data : analysis and applications." Thesis, Evry, Institut national des télécommunications, 2015. http://www.theses.fr/2015TELE0002/document.
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La dynamique humaine est un sujet essentiel de l'informatique centrée sur l’homme. Elle se concentre sur la compréhension des régularités sous-jacentes, des relations, et des changements dans les comportements humains. En analysant la dynamique humaine, nous pouvons comprendre non seulement des comportements individuels, tels que la présence d’une personne à un endroit précis, mais aussi des comportements collectifs, comme les mouvements sociaux. L’exploration de la dynamique humaine permet ainsi diverses applications, entre autres celles des services géo-dépendants personnalisés dans des scénarios de ville intelligente. Avec l'omniprésence des smartphones équipés de GPS, les réseaux sociaux de géolocalisation ont acquis une popularité croissante au cours des dernières années, ce qui rend les données de comportements des utilisateurs disponibles à grande échelle. Sur les dits réseaux sociaux de géolocalisation, les utilisateurs peuvent partager leurs activités en temps réel avec par l'enregistrement de leur présence à des points d'intérêt (POIs), tels qu’un restaurant. Ces données d'activité contiennent des informations massives sur la dynamique humaine. Dans cette thèse, nous explorons la dynamique humaine basée sur les données massives des réseaux sociaux de géolocalisation. Concrètement, du point de vue individuel, nous étudions la préférence de l'utilisateur quant aux POIs avec des granularités différentes et ses applications, ainsi que la régularité spatio-temporelle des activités des utilisateurs. Du point de vue collectif, nous explorons la forme d'activité collective avec les granularités de pays et ville, ainsi qu’en corrélation avec les cultures globalesHuman dynamics is an essential aspect of human centric computing. As a transdisciplinary research field, it focuses on understanding the underlying patterns, relationships, and changes of human behavior. By exploring human dynamics, we can understand not only individual’s behavior, such as a presence at a specific place, but also collective behaviors, such as social movement. Understanding human dynamics can thus enable various applications, such as personalized location based services. However, before the availability of ubiquitous smart devices (e.g., smartphones), it is practically hard to collect large-scale human behavior data. With the ubiquity of GPS-equipped smart phones, location based social media has gained increasing popularity in recent years, making large-scale user activity data become attainable. Via location based social media, users can share their activities as real-time presences at Points of Interests (POIs), such as a restaurant or a bar, within their social circles. Such data brings an unprecedented opportunity to study human dynamics. In this dissertation, based on large-scale location centric social media data, we study human dynamics from both individual and collective perspectives. From individual perspective, we study user preference on POIs with different granularities and its applications in personalized location based services, as well as the spatial-temporal regularity of user activities. From collective perspective, we explore the global scale collective activity patterns with both country and city granularities, and also identify their correlations with diverse human cultures
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Bradley, Teri A. "Middle School Students' Experiences in an Online Problem-Based Learning Environment." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/6175.
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The purpose of implementing educational reform is to improve the academic achievement and social skills of graduating students, but evaluating the benefits of a particular instructional method or curriculum design can be complicated. In an online and problem-based learning environment that allows students to choose content and assessment projects and self-pace, the motivation of students to learn and their engagement in the learning process significantly influences the success of the program. This generic qualitative study focused on the experiences of middle school students participating in an online and problem-based educational setting. The study included interview data and self-evaluation questionnaires about students' levels of motivation and engagement. Vygotsky's zone of proximal development (ZPD), Bandura's theory of self-efficacy, Dewey's experiential learning theory and other motivational theories provided the conceptual framework for this qualitative study of personalizing learning in constructivist environments. The data were analyzed through inductive thematic analysis with constant comparison. The findings highlighted the student perspective and identified factors that influenced students' buy-in to this type of personalized education. The results from this study may be used to help teachers plan and design curriculum and instructional strategies that encourage student motivation to learn and engagement in the learning process. Students who are motivated to learn and engaged in the learning process are more likely to graduate from school with the knowledge and skills required to enter the workforce and become productive knowledge workers in a knowledge economy.
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López, Sala Anna. "Estudio de la relación entre la variabilidad anatómica regional del cerebro medida con RM 3-D y los estilos cognitivos y rasgos de la personalidad." Doctoral thesis, Universitat Autònoma de Barcelona, 2011. http://hdl.handle.net/10803/79125.
Full textAbstract:
El proceso de hominización probablemente ha implicado una serie de cambios morfológicos cerebrales. El grado de desarrollo anatómico de regiones cerebrales funcionalmente relevantes, caracterizadas por su gran variabilidad interindividual y por la existencia de una marcada asimetría hemisférica, podría estar relacionado con las diferencias individuales en los estilos cognitivos y rasgos de la personalidad. Hay numerosos estudios que exponen las diferentes asimetrías morfológicas hemisféricas interindividuales. Los hallazgos más replicados son las asimetrías en áreas laterales de los hemisferios cerebrales y en la región cingulada anterior. A pesar de ello, un menor número de estudios se han centrado en estudiar la relevancia y significado funcional de dichas asimetrías y la variabilidad interindividual, aunque sí han aportado datos que han explicado, parcialmente, la relación entre volumen y estructuras cerebrales y funciones superiores.
El presente trabajo pretende investigar el significado funcional de la variabilidad anatómica de dos regiones cerebrales que son característicamente asimétricas y que tienen especial relevancia en la modulación de la conducta del ser humano. Por un lado se ha medido el volumen de la región perisilviana, como región paradigmática que sustenta el lenguaje, y por otro lado se ha medido la superficie medial de la corteza cingulada para investigar su correlación con los estilos de comportamiento. Se han desarrollado 4 estudios bajo estas dos líneas de investigación.
Con el primer estudio, el objetivo fue buscar el mejor correlato anatómico concordante con los porcentajes conocidos de la dominancia cerebral para el lenguaje. En los últimos años, se le otorga a la sustancia blanca un papel más relevante. Se objetivó que el volumen global medido con Resonancia Magnética (RM) en 3D de la región perisilviana de ambos hemisferios no diferiría. En cambio, el volumen regional de la representación de cada lóbulo difería en los dos hemisferios. Especialmente, el volumen relativo de sustancia blanca tenía porcentajes más altos en las regiones frontales, temporales y parietales izquierdas. En el hemisferio derecho, el porcentaje más alto de sustancia blanca se ubicaba en la región témporo-parieto-occipital. Consecuentemente, el parámetro anatómico que mejor explica la lateralización del lenguaje es la asimetría del volumen relativo de sustancia blanca localizado en la región perisilviana temporal y frontal.
En la misma línea de estudio, y aplicada a niños con trastorno específico del desarrollo (TEDL) del lenguaje y utilizando mediciones mediante la morfometría basada en vóxels (VBM), se buscaba encontrar un patrón característico de esta entidad. Se ha observado que los niños con TEDL presentan un aumento de volumen global de sustancia blanca y sustancia gris y una distribución de volúmenes relativos diferentes al grupo control. Los mecanismos de compensación y la modulación dinámica temporal a que está expuesto el cerebro pueden explicar estas anormalidades a nivel estructural.
En la segunda línea de investigación, se pretendía analizar la variabilidad interindividual de la superficie de la circunvolución cingulada anterior en participantes voluntarios sanos. En el primer trabajo, se constató que un mayor tamaño de la corteza cingulada anterior derecha, en ambos sexos, se relacionaba con una disposición temperamental hacia el miedo y un sufrimiento anticipatorio. Adicionalmente, una mayor prevalencia de estos rasgos en mujeres se puede relacionar con un mayor tamaño de esta región. El rol de la mujer a lo largo de la historia puede explicar esta diferencia anatómica entre géneros.
Finalmente, en el último trabajo se buscó la relación entre la alexitimia y la superficie de la corteza cingulada anterior derecha. Se objetivó que niveles altos de alexitimia correlacionaban con una mayor superficie de la corteza cingulada anterior derecha y se interpretó como una buena estrategia de adaptación del ser humano ante posibles situaciones problemáticas.The humanization process has probably involved a series of brain morphological changes. The anatomical degree of development of functionally relevant brain regions, characterized by its great variation and the existence of a marked hemispheric asymmetry could be related to individual differences in cognitive styles and personality traits. There are numerous studies that expose different inter-hemispheric morphological asymmetries. The most replicated findings are asymmetries in lateral areas of the cerebral hemispheres and the anterior cingulate region. However, fewer studies have focused on studying the relevance and functional significance of these asymmetries and the individual variation, although they have provided data that have partially explained the relationship between volume and brain structures and higher functions. This paper aims to investigate the functional significance of the anatomical variability of two brain regions that are characteristically asymmetric and which have special relevance in modulating the behaviour of human beings. First of all, the volume of the perisylvian region has been measured as the paradigmatically region that supports language functions; secondly the medial surface of the cingulate cortex was measured to investigate its correlation with behavioural styles. Four studies were developed under these two lines of research. In the first study, the aim was to find the best anatomical correlation related to the known percentage of cerebral dominance for language. In recent years, white matter is leading a greater role. We observed that the total volume measured by magnetic resonance imaging (MRI) in 3D of the perisylvian region would not differ in both hemispheres. Instead, the regional representative volume of each lobe was different in the two hemispheres. Specifically, the relative volume of white matter had the highest percentages in the frontal regions, temporal and parietal lobes. In the right hemisphere, the highest percentage of white matter was located in the temporo-parieto-occipital region. Consequently, the parameter that best explains the anatomical lateralization of language is the asymmetry of the relative volume of white matter located in the frontal and temporal perisylvian regions. In the same line of study and applied to children with specific language impairment (SLI) and using measurements by voxels based morphometry (VBM), we sought to find a characteristic pattern of this entity. It has been observed that children with SLI show an overall increase in white matter and grey matter volumes and a different relative distribution compared to the control group. Compensation mechanisms and temporary dynamic modulation to which the brain is exposed may explain these abnormalities at structural level. The second line of research intended to analyze the variability of the surface of the anterior cingulate gyrus in healthy volunteers participating. In the first study it was found that a larger size of the right anterior cingulate cortex in both sexes was related to a temperamental disposition towards fear and anticipatory suffering. Additionally, a higher prevalence of these traits in women may be associated with an increased size of this region. The role of women throughout history can explain these anatomical differences between genders. Finally, the last study we focused on the relationship between alexithymia and the surface of the right anterior cingulate cortex. We observed that high levels of alexithymia correlated with an increased area of the right anterior cingulate cortex and interpreted as a good adaptation of humans in potential problematic situations.
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Stenmark, Kevin. "Enhancing user interactions with a music system for public displays : Identifying appropriate ways to personalize content and interactions with a shared music system in public places." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-77818.
Full textAbstract:
This thesis investigates which type of user-related/-generated, personal, information is appropriate to share on an interactive public display in a public environment, e.g., user’s names and images, as a mean to enhance interactions with public display applications. This investigation is two-fold, how the content on the public display could be personalized and how interactions with the application can be emphasized. As a specific case of a public display application, an interactive shared music system with a collaborative playlist is chosen. A survey with static prototypes was created and sent out to identify which information users find appropriate sharing, regarding privacy and xyz, but also what information they feel interesting sharing. 47 participants answered the survey and the results informed an iterative design process that generated a series of static and four interactive prototypes. Four groups with three participants in each (third group with only two) were used to discuss the interactive prototypes highlighting the implemented features. In a focus group style setting, the participants were asked various questions for each of the four prototypes addressing this and that. During the sessions, notes were taken, and it was also audio recorded. All the data from all groups were analyzed and then also compared between the four groups. The result showed that people are ok with sharing their username and first name. The content on the music system can be personalized with pop-up notifications which show information about user’s choices, what song do they vote for or what song do they add to the playlist. Furthermore, the new features indicated a positive effect.
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Boström, Jessica, and Beatrice Svedlund. "Det nya hotet mot användarens integritet : En studie om individanpassad reklam på Facebook." Thesis, Högskolan Dalarna, Företagsekonomi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:du-25467.
Full textAbstract:
Problem: Vid accepterandet av användarvillkor och cookies på Facebook får företag information om respektive användare och kan därmed skapa individanpassad reklam, något som kan uppfattas som integritetskränkande. Syfte: Analysera och beskriva användarens beteende och vidare kunskap om individanpassad reklam, via cookies, på Facebook. Teori: Den teoretiska referensramen omfattar bakgrundsinformation om Facebook, cookies och individanpassad reklam. Grundläggande teori baseras på hur företag använder sig av Facebook, cookies och individanpassad reklam för att marknadsföra sina produkter och tjänster. Metod: Studien har tillämpat en deduktiv ansats med en webbenkät som datainsamlingsverktyg. Enkäten sändes ut till 3318 programstudenter på Högskolan Dalarna, med svenska som undervisningsspråk. Resultat: Studiens resultat redovisas utifrån insamlad data från enkätundersökningen. Data sammanställdes i stapeldiagram, histogram och i tabeller med beskrivande statistik och medelvärde. Slutsats: Användaren besitter inte kunskap om vad de accepterar när de godkänner Facebooks användarvillkor och anser sig inte vara orolig över den personliga information Facebook tar del av i kommersiellt syfte.Problem: Accepting the term of use for cookies and Facebook, gives companies information about each user of Facebook so they can create personalized advertising. Purpose: The purpose of the paper is to analyze and describe the user´s behavior and further knowledge of personalized advertising, through cookies, on Facebook. Theory: The theoretical frame includes information about Facebook, cookies and personalized advertisements. The theory is based on how companies use Facebook, cookies and personalized advertisements to promote their products and services. Method: The study has used a deductive approach with a web questionnaire as a data collection tool. The questionnaire was sent to 3318 students at Högskolan Dalarna, with Swedish as the language of instruction. Results: The results of the study is based on collected data from the survey. The data was compiled in bar charts, histograms and a table with descriptive statistics and mean. Conclusion: The user does not have knowledge of what they accept when they approve Facebook's Terms of Service and do not feel worried about the personal information Facebook delivers for commercial purposes.