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Berdasco, López, Diaz, Quesada und Guerrero. „User Experience Comparison of Intelligent Personal Assistants: Alexa, Google Assistant, Siri and Cortana“. Proceedings 31, Nr. 1 (20.11.2019): 51. http://dx.doi.org/10.3390/proceedings2019031051.
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Natural user interfaces are becoming popular. One of the most common natural user interfaces nowadays are voice activated interfaces, particularly smart personal assistants such as Google Assistant, Alexa, Cortana, and Siri. This paper presents the results of an evaluation of these four smart personal assistants in two dimensions: the correctness of their answers and how natural the responses feel to users. Ninety-two participants conducted the evaluation. Results show that Alexa and Google Assistant are significantly better than Siri and Cortana. However, there is no statistically significant difference between Alexa and Google Assistant.
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Elahi, Haroon, Guojun Wang, Tao Peng und Jianer Chen. „On Transparency and Accountability of Smart Assistants in Smart Cities“. Applied Sciences 9, Nr. 24 (06.12.2019): 5344. http://dx.doi.org/10.3390/app9245344.
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Smart Assistants have rapidly emerged in smartphones, vehicles, and many smart home devices. Establishing comfortable personal spaces in smart cities requires that these smart assistants are transparent in design and implementation—a fundamental trait required for their validation and accountability. In this article, we take the case of Google Assistant (GA), a state-of-the-art smart assistant, and perform its diagnostic analysis from the transparency and accountability perspectives. We compare our discoveries from the analysis of GA with those of four leading smart assistants. We use two online user studies (N = 100 and N = 210) conducted with students from four universities in three countries (China, Italy, and Pakistan) to learn whether risk communication in GA is transparent to its potential users and how it affects them. Our research discovered that GA has unusual permission requirements and sensitive Application Programming Interface (API) usage, and its privacy requirements are not transparent to smartphone users. The findings suggest that this lack of transparency makes the risk assessment and accountability of GA difficult posing risks to establishing private and secure personal spaces in a smart city. Following the separation of concerns principle, we suggest that autonomous bodies should develop standards for the design and development of smart city products and services.
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Srinivasan, Arul, und A. Neela Madheswari. „The Role of Smart Personal Assistant for improving personal Healthcare“. International Journal of Advanced Engineering, Management and Science 4, Nr. 11 (2018): 769–72. http://dx.doi.org/10.22161/ijaems.4.11.5.
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Krishna, Tummala Sri Ranga Sai. „Virtual Personal Assistant for Desktop Automation using Selenium“. International Journal for Research in Applied Science and Engineering Technology 9, Nr. VI (30.06.2021): 3261–64. http://dx.doi.org/10.22214/ijraset.2021.35798.
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In recent years, Virtual Personal Assistants(VPA) have worked with utmost efficacy sorting out queries and specific tasks posted by the individual users on the website by AI and Natural Language Processing . VPA developers develop functions to either scrape the query result from the Internet. The result data include copious formats from a simple definition in Wikipedia to complex calculations or recommendations. However, VPA’s designed for desktops do not work as extensively as the VPA’s featuring in the smart phones . They do not provide a complete automation of desktop websites due to continuous and frequent development. The current desktop personal assistant’s can show you the top results of the query ‘Biryani’, but cannot order on behalf of you. In this study, we propose a Virtual Personal Assistant ARCHER for desktop automation using Selenium by using the specifications of the behavior data of websites.
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Winkler, Rainer, Matthias Söllner und Jan Marco Leimeister. „Enhancing problem-solving skills with smart personal assistant technology“. Computers & Education 165 (Mai 2021): 104148. http://dx.doi.org/10.1016/j.compedu.2021.104148.
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Dizon, Gilbert, und Daniel Tang. „Intelligent personal assistants for autonomous second language learning: An investigation of Alexa“. JALT CALL Journal 16, Nr. 2 (31.08.2020): 107–20. http://dx.doi.org/10.29140/jaltcall.v16n2.273.
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The ubiquity of smartphones and the growing popularity of smart speakers have given rise to cloud-based, intelligent personal assistants (IPAs), such as Siri and Google Assistant. However, little is known about the use of IPAs for Autonomous Second Language Learning (ASLL). Thus, the aims of this study were twofold: to assess Japanese English as a Foreign Language (EFL) students’ perceptions towards IPAs, also known as virtual assistants, for ASLL, and to better understand learner behavior of these technologies. A total of 14 Japanese university students were given smart speakers and interacted with a companion IPA, Amazon Alexa, over a two-month period in their homes. Moreover, the participants completed a survey consisting of Likert-scale items and open-ended questions to obtain their views of the IPA for ASLL. While the results indicated that the students had mostly favorable views of Alexa for L2 learning, many of them did not actively engage with the virtual assistant during the data collection period. Furthermore, students tended to give up when faced with communication difficulties with the IPA. These findings highlight the potential of IPAs for ASLL and underscore the gap between what students say, and what they actually do, with language learning technology.
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Shypota, N., und M. Makolkina. „Analysis of using voice assistant technolog in fifth generatio networks“. Telecom IT 8, Nr. 3 (30.09.2020): 86–93. http://dx.doi.org/10.31854/2307-1303-2020-8-3-86-93.
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The voice assistant technology is considered in scientific literature as a promising direction for organizing user work with a system of modern devices. Personal voice assistants create for the user the possibility of comfortable interaction with digital devices, bringing him closer to communication with the interlocutor. The relevance of studying the problem of using a voice assistant in fifth-generation communication networks made it the subject of research in this work. The article provides a retrospective analysis of real achievements in the field of practical application of voice assistant technology and identifies some of the most relevant directions for the development of the use of voice assistants. The main trends in the study of implementation and use, development of new generations of personal smart voice assistants are indicated. Conclusions are drawn about possible promising directions for further research. The proposed analysis of the scope of application of voice assistants and a brief description of the history of their creation and development has practical significance and makes it possible to use this publication as a lecture material.
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Carlin, Angela, Caomhan Logue, Jonathan Flynn, Marie H. Murphy und Alison M. Gallagher. „Development and Feasibility of a Family-Based Health Behavior Intervention Using Intelligent Personal Assistants: Randomized Controlled Trial“. JMIR Formative Research 5, Nr. 1 (28.01.2021): e17501. http://dx.doi.org/10.2196/17501.
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Background Intelligent personal assistants such as Amazon Echo and Google Home have become increasingly integrated into the home setting and, therefore, may facilitate behavior change via novel interactions or as an adjunct to conventional interventions. However, little is currently known about their potential role in this context. Objective This feasibility study aims to develop the Intelligent Personal Assistant Project (IPAP) and assess the acceptability and feasibility of this technology for promoting and maintaining physical activity and other health-related behaviors in both parents and children. Methods This pilot feasibility study was conducted in 2 phases. For phase 1, families who were attending a community-based weight management project were invited to participate, whereas phase 2 recruited families not currently receiving any additional intervention. Families were randomly allocated to either the intervention group (received a smart speaker for use in the family home) or the control group. The IPAP intervention aimed to promote positive health behaviors in the family setting through utilization of the functions of a smart speaker and its linked intelligent personal assistant. Data were collected on recruitment, retention, outcome measures, intervention acceptability, device interactions, and usage. Results In total, 26 families with at least one child aged 5 to 12 years were recruited, with 23 families retained at follow-up. Across phase 1 of the intervention, families interacted with the intelligent personal assistant a total of 65 times. Although device interactions across phase 2 of the intervention were much higher (312 times), only 10.9% (34/312) of interactions were coded as relevant (related to diet, physical activity or well-being). Focus groups highlighted that the families found the devices acceptable and easy to use and felt that the prompts or reminders were useful in prompting healthier behaviors. Some further intervention refinements in relation to the timing of prompts and integrating feedback alongside the devices were suggested by families. Conclusions Using intelligent personal assistants to deliver health-related messages and information within the home is feasible, with high levels of engagement reported by participating families. This novel feasibility study highlights important methodological considerations that should inform future trials testing the effectiveness of intelligent personal assistants in promoting positive health-related behaviors. Trial Registration ISRCTN Registry ISRCTN16792534; http://www.isrctn.com/ISRCTN16792534
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Meza, Andrés, Gustavo López, Luis Quesada und Luis A. Guerrero. „Architecture to Design Booking Appointment Applications for the Smart Personal Assistant Alexa“. Proceedings 31, Nr. 1 (20.11.2019): 17. http://dx.doi.org/10.3390/proceedings2019031017.
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The intelligent smart assistants are becoming more interactive and helpful for everyday tasks. The Amazon Echo has potential for advanced voice interactions and as a tool for conducting complex tasks. The potential of the Amazon Echo in the area of booking appointments is not being fully exploited by developers. A flexible architecture for developing appointment booking applications for the Amazon Echo was proposed. The architecture serves as guide for developers without experience working with Voice User Interfaces and saves development time by abstracting the complexity of voice interactions. A prototype skill was developed following the architecture principles and evaluated by a group of users. The skill successfully defines how an appointment booking skill should be.
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Jang, Yeibeech. „Exploring User Interaction and Satisfaction with Virtual Personal Assistant Usage through Smart Speakers“. Archives of Design Research 33, Nr. 3 (31.08.2020): 127–35. http://dx.doi.org/10.15187/adr.2020.08.33.3.127.
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Palacín, Jordi, Eduard Clotet, Dani Martínez, Javier Moreno und Marcel Tresanchez. „Automatic Supervision of Temperature, Humidity, and Luminance with an Assistant Personal Robot“. Journal of Sensors 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/1480401.
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Smart environments and Ambient Intelligence (AmI) technologies are defining the future society where energy optimization and intelligent management are essential for a sustainable advance. Mobile robotics is also making an important contribution to this advance with the integration of sensors and intelligent processing algorithms. This paper presents the application of an Assistant Personal Robot (APR) as an autonomous agent for temperature, humidity, and luminance supervision in human-frequented areas. The robot multiagent capabilities allow gathering sensor information while exploring or performing specific tasks and then verifying human comfortability levels. The proposed methodology creates information maps with the distribution of temperature, humidity, and luminance and interprets such information in terms of comfort and warns about corrective actuations if required.
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Huraj, Ladislav, Marek Šimon und Tibor Horák. „Resistance of IoT Sensors against DDoS Attack in Smart Home Environment“. Sensors 20, Nr. 18 (16.09.2020): 5298. http://dx.doi.org/10.3390/s20185298.
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Smart devices along with sensors are gaining in popularity with the promise of making life easier for the owner. As the number of sensors in an Internet of Things (IoT) system grows, a question arises as to whether the transmission between the sensors and the IoT devices is reliable and whether the user receives alerts correctly and in a timely manner. Increased deployment of IoT devices with sensors increases possible safety risks. It is IoT devices that are often misused to create Distributed Denial of Service (DDoS) attacks, which is due to the weak security of IoT devices against misuse. The article looks at the issue from the opposite point of view, when the target of a DDoS attack are IoT devices in a smart home environment. The article examines how IoT devices and the entire smart home will behave if they become victims of a DDoS attack aimed at the smart home from the outside. The question of security was asked in terms of whether a legitimate user can continue to control and receive information from IoT sensors, which is available during normal operation of the smart home. The case study was done both from the point of view of the attack on the central units managing the IoT sensors directly, as well as on the smart-home personal assistant systems, with which the user can control the IoT sensors. The article presents experimental results for individual attacks performed in the case study and demonstrates the resistance of real IoT sensors against DDoS attack. The main novelty of the article is that the implementation of a personal assistant into the smart home environment increases the resistance of the user’s communication with the sensors. This study is a pilot testing the selected sensor sample to show behavior of smart home under DDoS attack.
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Finocchi, Riccardo, Antonio Perri und Paolo Peverini. „Smart objects in daily life: Tackling the rise of new life forms in a semiotic perspective*“. Semiotica 2020, Nr. 236-237 (16.12.2020): 141–66. http://dx.doi.org/10.1515/sem-2019-0020.
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AbstractOur everyday life is increasingly permeated with digital objects that carry out smart and complex functions. The latest (but certainly not final) advancement of smart digital applications – is to be identified the creation of a field, at once conceptual and material, of things denominated smart objects (henceforth SOs). This technological evolution is so pervasive that it is referred to as smartification. Smart objects have some distinctive features including in particular varying degrees of agency, autonomy and authority. There is no doubt that the SO category is extremely broad, various and intrinsically fuzzy, it is evident that the phenomenon is by no means easy to define: which objects are really smart and which are not? But above all: what do we mean in semio-linguistic, and not psychological nor merely phenomenological terms, when we attribute the qualifier smart to an artifact? What is clear is that a new, or at least different (and controversial) relationship is developing between objects and subjects, or rather between human beings and objects inhabiting the spaces of social action: that is, a new system of objects, to cite Baudrillard (1968), or a new “society of objects” (see Landowski and Marrone 2002). In this paper we will focus on a type of smart physical device designed to interact with its users in the domestic sphere, assisting them in a variety of tasks – such as for example Amazon Echo, capable of connecting to Alexa, an intelligent personal assistant based on machine learning, or the more recent Google Assistant. Our semiotic-oriented – or, more precisely, potentially socio-semiotic/ethno-semiotic – analysis will deal with these issues theoretically by concentrating on the problem of identity, which is anthropologically, but also and above all philosophically, sensitive. We shall look at the impact of technological devices on the perceptive/cognitive systems of human beings, starting with a reflection on the practices of interaction, signification and interpretation that also involve digital objects with a possible impact on everyday life.
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Kamleitner, Bernadette, und Mahshid Sotoudeh. „Information sharing and privacy as a socio-technical phenomenon“. TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis 28, Nr. 3 (09.12.2019): 68–71. http://dx.doi.org/10.14512/tatup.28.3.68.
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The present proliferation of portable smart devices and stationary home assistant systems changes the ways in which people share information with each other. Such devices regularly have permission to switch on at any time and can collect a wide range of data in their environment. In consequence, the social challenge of personal data protection is growing and necessitates a better understanding of privacy as an interdependent phenomenon. Interview by Mahshid Sotoudeh (ITA-ÖAW).
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Zangana, Hewa M., und Marwan Omar. „Threats, Attacks, and Mitigations of Smartphone Security“. Academic Journal of Nawroz University 9, Nr. 4 (04.12.2020): 324. http://dx.doi.org/10.25007/ajnu.v9n4a989.
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Mobile devices such as Smart Phones and Personal Assistant Devices (PDA) that are Internet based are becoming much more capable of handling complex tasks such as online shopping, online banking as well as social media networking; However, the security mechanisms and defense measures that are built into those devices are not commensurate with those powerful communication and computational capabilities. This in turn, creates critical vulnerabilities thus promoting the chance for imminent security threats. The intent of this paper is to take a look into some of the vulnerabilities and risks associated with the use of smart phones that are Internet based, explore the current security mechanisms and strategies that are in place, and finally propose some proactive defense strategies to ensure appropriate protection of critical information contained in Smart phone devices.
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Kettlewell, Jade, Roshan das Nair und Kate Radford. „A systematic review of personal smart technologies used to improve outcomes in adults with acquired brain injuries“. Clinical Rehabilitation 33, Nr. 11 (29.07.2019): 1705–12. http://dx.doi.org/10.1177/0269215519865774.
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Objective: This review aimed to determine the effectiveness of personal smart technologies on outcomes in adults with acquired brain injury. Data sources: A systematic literature search was conducted on 30 May 2019. Twelve electronic databases, grey literature databases, PROSPERO, reference list and author citations were searched. Methods: Randomised controlled trials were included if personal smart technology was used to improve independence, goal attainment/function, fatigue or quality of life in adults with acquired brain injury. Data were extracted using a bespoke form and the TIDieR checklist. Studies were graded using the PEDro scale to assess quality of reporting. Meta-analysis was conducted across four studies. Results: Six studies met the inclusion criteria, generating a total of 244 participants. All studies were of high quality (PEDro ⩾ 6). Interventions included personal digital assistant, smartphone app, mobile phone messaging, Neuropage and an iPad. Reporting of intervention tailoring for individual needs was inconsistent. All studies measured goal attainment/function but none measured independence or fatigue. One study ( n = 42) reported a significant increase in memory-specific goal attainment ( p = 0.0001) and retrospective memory function ( p = 0.042) in favour of the intervention. Another study ( n = 8) reported a significant increase in social participation in favour of the intervention ( p = 0.01). However, our meta-analyses found no significant effect of personal smart technology on goal attainment, cognitive or psychological function. Conclusion: At present, there is insufficient evidence to support the clinical benefit of personal smart technologies to improve outcomes in acquired brain injury. Researchers need to conduct more randomised studies to evaluate these interventions and measure their potential effects/harms.
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Sheerman, Laura, Hannah R. Marston, Charles Musselwhite und Deborah Morgan. „COVID-19 and the secret virtual assistants: the social weapons for a state of emergency“. Emerald Open Research 2 (27.04.2020): 19. http://dx.doi.org/10.35241/emeraldopenres.13571.1.
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Technologies are ubiquitous in modern Britain, gradually infiltrating many areas of our working and personal lives. But what role can technology play in the current COVID-19 pandemic? At a time when our usual face to face social interactions are temporarily suspended, many of us have reached out to technology (e.g. Skype, WhatsApp, Facebook, Zoom) to help maintain a sense of closeness and connection to friends, family and vital services. One largely unsung technology is the virtual assistant (VA), a cost-efficient technology enabling users to access the Internet of Things using little more than voice. Deploying an ecological framework, in the context of smart age-friendly cities, this paper explores how VA technology can function as an emergency response system, providing citizens with systems to connect with friends, family, vital services and offering assistance in the diagnosis of COVID-19. We provide an illustration of the potentials and challenges VAs present, concluding stricter regulation and controls should be implemented before VAs can be safely integrated into smart age-friendly cities across the globe.
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Subhash S., Siddesh S., Prajwal N. Srivatsa, Ullas A. und Santhosh B. „Developing a Graphical User Interface for an Artificial Intelligence-Based Voice Assistant“. International Journal of Organizational and Collective Intelligence 11, Nr. 3 (Juli 2021): 49–67. http://dx.doi.org/10.4018/ijoci.2021070104.
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Artificial intelligence machineries have been extensively active in human life in recent times. Self-governing devices are enhancing their way of interacting with both human and devices. Contemporary vision in this topic can pave the way for a new process of human-machine interaction in which users will get to know how people can understand human language, adapting and communicating through it. One such tool is voice assistant, which can be incorporated into many other brilliant devices. In this article, the voice assistant will receive the audio from the microphone and then convert that into text, later with the help of ‘pyttsx3', and then the text response will be converted into an audio file; then the audio file will be played. The audio is processed using the voice user interface (VUI). This article develops a functional intelligent personal assistant (IPA) and integrates it with a graphical user interface that can perform mental tasks such as ON/OFF of smart applications based on the user commands.
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Maduwantha, Milan Chamara, und V. N. Vithana. „“MumCare”: An Artificial Intelligence Based Assistant“. International Journal of Electrical and Computer Engineering Research 1, Nr. 1 (14.06.2021): 21–28. http://dx.doi.org/10.53375/ijecer.2021.25.
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Bringing a new life to the world is a wonder to every mother. Experience faced by pregnant mothers vary from one pregnancy to another pregnancy. There is a vast amount of information available on the Internet and printed materials. Yet, this knowledge is too complex or lengthy and very few applications provide customized information to pregnant mothers. In a time where smart phones have become a necessity in our life, a mobile app is one of the easiest ways to obtain prenatal information. Hence, we have developed a mobile application to help pregnant mothers. This application includes an artificial intelligence (AI) based chatbot. AI chat bot communicates and guides the mother in a way that creates the illusion as if they are talking to their unborn child. The Spiral Model was used as the development methodology and the application was developed in an environment of continuous integration and deployment with GIT personal repository. This application was implemented using React Native and the Node.js. Chat bot was created with Dialogflow agent and integrated with the firebase through the Google cloud functions. Some existing applications were studied to identify the features and limitations of current pregnancy care mobile applications. This solution is realistic and successful and it has an upgradable model of growth. The rapid development of the Internet and mobile devices in the world has changed people's lifestyles. This mobile app will be helpful for pregnant mothers living in rural as well as in metropolitan areas alike and can enhance education and health.
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Lim, Se-Min, Hyeong-Cheol Oh, Jaein Kim, Juwon Lee und Jooyoung Park. „LSTM-Guided Coaching Assistant for Table Tennis Practice“. Sensors 18, Nr. 12 (23.11.2018): 4112. http://dx.doi.org/10.3390/s18124112.
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Recently, wearable devices have become a prominent health care application domain by incorporating a growing number of sensors and adopting smart machine learning technologies. One closely related topic is the strategy of combining the wearable device technology with skill assessment, which can be used in wearable device apps for coaching and/or personal training. Particularly pertinent to skill assessment based on high-dimensional time series data from wearable sensors is classifying whether a player is an expert or a beginner, which skills the player is exercising, and extracting some low-dimensional representations useful for coaching. In this paper, we present a deep learning-based coaching assistant method, which can provide useful information in supporting table tennis practice. Our method uses a combination of LSTM (Long short-term memory) with a deep state space model and probabilistic inference. More precisely, we use the expressive power of LSTM when handling high-dimensional time series data, and state space model and probabilistic inference to extract low-dimensional latent representations useful for coaching. Experimental results show that our method can yield promising results for characterizing high-dimensional time series patterns and for providing useful information when working with wearable IMU (Inertial measurement unit) sensors for table tennis coaching.
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Fagundes Pase, André, Gisele Noll, Mariana Gomes da Fontoura und Letícia Dallegrave. „Who Controls the Voice? The Journalistic Use and the Informational Domain in Vocal Transactors“. Brazilian Journalism Research 16, Nr. 3 (29.12.2020): 576–603. http://dx.doi.org/10.25200/bjr.v16n3.2021.1316.
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This article aims to understand the transformations caused by new informational ecosystems in contemporary journalism. This analysis is performed based on news accessed through personal digital assistants embedded in smart speakers. As a methodological procedure, it adopts a multiple case study, defining the vocal transactors of Google (Nest Home/Google Assistant) and Amazon (Echo/Alexa) as its object. Therefore, this paper notes that the inclusion of algorithmic routines and the extension of news content to intelligent voice interfaces requires adaptation for the personalization of information, an ecosystem that is feedback by traditional vehicles, journalists, and people who interact with the artifacts.O presente artigo tem como objetivo compreender as transformações causadas por novos ecossistemas informacionais no jornalismo contemporâneo. Essa análise é realizada a partir de notícias acessadas através de assistentes pessoais digitais embarcados em alto-falantes inteligentes. Como procedimento metodológico, adota o estudo de caso múltiplo, definindo como objeto os transatores vocais da Google (Nest Home/Google Assistant) e da Amazon (Echo/Alexa). Observa, portanto, que a inclusão de rotinas algorítmicas e a extensão de conteúdo noticioso para interfaces de voz inteligentes demanda adaptação para a personalização das informações, ecossistema que é retroalimentado por veículos tradicionais, jornalistas e pessoas que interagem com os artefatos.Este artículo tiene como objetivo comprender las transformaciones causadas por los nuevos ecosistemas informativos en el periodismo contemporáneo. Este análisis se realiza en función de las noticias a las que se accede a través de asistentes digitales personales integrados en altavoces inteligentes. Como procedimiento metodológico, adopta un estudio de caso múltiple, definiendo los transactores vocales de Google (Nest Home/Google Assistant) y Amazon (Echo/Alexa) como su objeto. Señala, por lo tanto, que la inclusión de rutinas algorítmicas y la extensión del contenido de noticias a interfaces de voz inteligentes requiere adaptación para la personalización de la información, un ecosistema que es retroalimentado por vehículos tradicionales, periodistas y personas que interactúan con los artefactos.
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Abdullah, A. F., und N. A. Muhadi. „GIS DATA COLLECTION FOR OIL PALM (DaCOP) MOBILE APPLICATION FOR SMART PHONE“. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-2/W2 (19.10.2015): 165–68. http://dx.doi.org/10.5194/isprsannals-ii-2-w2-165-2015.
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Nowadays, smart phone has become a necessity as it offers more than just making a phone call. Smart phone combines the features of cell phone with other mobile devices such as personal digital assistant (PDA) and GPS navigation unit that propel the popularity of smart phones. In recent years, the interest in mobile communication has been increased. Previous research using mobile application has been successfully done in varies areas of study. Areas of study that have been done are health care, education, and traffic monitoring. Besides, mobile application has also been applied in agricultural sector for various purposes such as plant pest risk management. In this study, mobile application for data collection on Ganoderma disease of oil palm has been successfully developed. The application uses several devices in a smart phone such as GPS, Wifi/ GPRS connection and accelerometer devices. The application can be installed in the smart phone and users can use the application while working on-site. The data can be updated immediately through their smart phones to the service. Besides, the application provides offline map so the user can be productive even though their network connectivity is poor or nonexistent. The data can be synced when the users online again. This paper presents an application that allows users to download features from a sync-enabled ArcGIS Feature Service, view and edit the features even when the devices fail to connect with any network connectivity while collecting data on-site.
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Lin, Chun Hao, Yen Szu Liu, Chi Hua Chen, Bon Yeh Lin und Chi Chun Lo. „A Real-Time Campus Guidance System Based on Energy Efficient Location Determination Method“. Advanced Materials Research 211-212 (Februar 2011): 485–89. http://dx.doi.org/10.4028/www.scientific.net/amr.211-212.485.
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Recently guidancesystem is becoming more popular, as more people realize its benefits. There have been many developments on campus guidance system (CGS) in personal digital assistant (PDA) and smart phone. The building and promotion of the energy efficient location determination method is an important part of CGS. The cellular-based location determination using RSS from cellular network is more immediately, power-effective, and easy to deploy and maintain than traditional methods. In this paper, we design the CGS which provides the fingerprint position algorithm (FPA) using RSS from cellular networks and location-based service (LBS) for user reference. In experiments, we compare the estimated positioning information with the real information from global position system (GPS) receiver. The results show that the error of location estimation using FPA is about 9.92 meters. This approach is feasible to be applied to CGS.
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WANG, YI, HOUQIANG LI, XIN FAN und CHANG WEN CHEN. „AN ATTENTION BASED SPATIAL ADAPTATION SCHEME FOR H.264 VIDEOS ON MOBILES“. International Journal of Pattern Recognition and Artificial Intelligence 20, Nr. 04 (Juni 2006): 565–84. http://dx.doi.org/10.1142/s0218001406004843.
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With the growing popularity of personal digital assistant devices and smart phones, consumers have become increasingly enthusiastic to watching videos from these mobile devices. However, when browsing videos in mobiles, users often feel that the display resolution greatly affects their perceptual experience with the limited screen size. In this paper, an attention based spatial video adaptation scheme is proposed to overcome the display constraints by producing and displaying the region of interest. According to the size of the target display, we automatically detect and crop the informative region in each frame to generate a smooth sequence. To avoid costly full encoding operations, we develop a set of transcoding techniques based on the H.264 standard. Experimental results show that this approach not only improves the perceptual quality but also saves the bandwidth and computation, especially for the videos which have not been well edited.
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Asikis, Thomas, Johannes Klinglmayr, Dirk Helbing und Evangelos Pournaras. „How value-sensitive design can empower sustainable consumption“. Royal Society Open Science 8, Nr. 1 (13.01.2021): 201418. http://dx.doi.org/10.1098/rsos.201418.
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In a so-called overpopulated world, sustainable consumption is of existential importance. However, the expanding spectrum of product choices and their production complexity challenge consumers to make informed and value-sensitive decisions. Recent approaches based on (personalized) psychological manipulation are often intransparent, potentially privacy-invasive and inconsistent with (informational) self-determination. By contrast, responsible consumption based on informed choices currently requires reasoning to an extent that tends to overwhelm human cognitive capacity. As a result, a collective shift towards sustainable consumption remains a grand challenge. Here, we demonstrate a novel personal shopping assistant implemented as a smart phone app that supports a value-sensitive design and leverages sustainability awareness, using experts’ knowledge and ‘wisdom of the crowd’ for transparent product information and explainable product ratings. Real-world field experiments in two supermarkets confirm higher sustainability awareness and a bottom-up behavioural shift towards more sustainable consumption. These results encourage novel business models for retailers and producers, ethically aligned with consumer preferences and with higher sustainability.
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Edu, Jide S., Jose M. Such und Guillermo Suarez-Tangil. „Smart Home Personal Assistants“. ACM Computing Surveys 53, Nr. 6 (29.12.2020): 1–36. http://dx.doi.org/10.1145/3412383.
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Ijaz, Muhammad, Gang Li, Huiquan Wang, Ahmed M. El-Sherbeeny, Yussif Moro Awelisah, Ling Lin, Anis Koubaa und Alam Noor. „Intelligent Fog-Enabled Smart Healthcare System for Wearable Physiological Parameter Detection“. Electronics 9, Nr. 12 (28.11.2020): 2015. http://dx.doi.org/10.3390/electronics9122015.
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Wearable technology plays a key role in smart healthcare applications. Detection and analysis of the physiological data from wearable devices is an essential process in smart healthcare. Physiological data analysis is performed in fog computing to abridge the excess latency introduced by cloud computing. However, the latency for the emergency health status and overloading in fog environment becomes key challenges for smart healthcare. This paper resolves these problems by presenting a novel tri-fog health architecture for physiological parameter detection. The overall system is built upon three layers as wearable layer, intelligent fog layer, and cloud layer. In the first layer, data from the wearable of patients are subjected to fault detection at personal data assistant (PDA). To eliminate fault data, we present the rapid kernel principal component analysis (RK-PCA) algorithm. Then, the faultless data is validated, whether it is duplicate or not, by the data on-looker node in the second layer. To remove data redundancy, we propose a new fuzzy assisted objective optimization by ratio analysis (FaMOORA) algorithm. To timely predict the user’s health status, we enable the two-level health hidden Markov model (2L-2HMM) that finds the user’s health status from temporal variations in data collected from wearable devices. Finally, the user’s health status is detected in the fog layer with the assist of a hybrid machine learning algorithm, namely SpikQ-Net, based on the three major categories of attributes such as behavioral, biomedical, and environment. Upon the user’s health status, the immediate action is taken by both cloud and fog layers. To ensure lower response time and timely service, we also present an optimal health off procedure with the aid of the multi-objective spotted hyena optimization (MoSHO) algorithm. The health off method allows offloading between overloaded and underloaded fog nodes. The proposed tri-fog health model is validated by a thorough simulation performed in the iFogSim tool. It shows better achievements in latency (reduced up to 3 ms), execution time (reduced up to 1.7 ms), detection accuracy (improved up to 97%), and system stability (improved up to 96%).
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., Kamini, und Ravinder Singh. „Performance Test of WAP Gateway Over Web Server Using OPNET“. CGC International Journal of Contemporary Technology and Research 2, Nr. 2 (26.06.2020): 120–25. http://dx.doi.org/10.46860/cgcijctr.2020.06.26.120.
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The Security for the portable devices such as mobile phones,iPad and laptops becoming extremely important day by day.The intermediates such as gateway are the main source for communication through wireless media. In today's era, maintaining the transport level security amongst cellular devices like mobile phones and PDA(Personal Digital Assistant) become the most burning issue.During communications of smart phones with the web server through broadband method pass communication through the gateway known as Wireless Applications Protocol. The main purpose of WAP gateway is to transfer all the protocol used in WAP to the protocols used on the internet server. The WAP proxy server uses marshalling and unmarshalling methodology for the content to reduce the size of the data that has been sent through the wireless link. Further, the communication between the mobile phones and wireless application protocol is secured by using the security protocol called WTLS. The communication between the WAP gateway and web server is secured through the TLS/SSL security protocols. This paper simulates an assessment of wireless and wired networks using OPNET simulation tools. This paper simulated 2 different scenarios comparing wireless mobile client communication using WTLS gateway MD5_RSA encryption and Firewall gateway TLS encryption using MD5_RSA.The investigation results shows how the end to end security takes place between wireless clients to web servers using hybrid security protocol.
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McGreal, Rory. „Hearables: eLearning in the Workplace“. EDEN Conference Proceedings, Nr. 1 (16.06.2019): 97–102. http://dx.doi.org/10.38069/edenconf-2019-ac-0012.
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Hearables, a term first coined by Hunn (2014), are wireless smart micro-computers with artificial intelligence that incorporate both speakers and microphones. They fit in the ears and can connect to the internet and to other devices; they are designed to be worn daily. These devices, such as the Bragi Dash, Vinci and Bose Hearphone are now appearing on the market, which is expected to exceed $40 billion in the USA by 2020 (Omnicom, 2018). Hearables are not headphones, nor hearing aids, nor ear plugs, although they could take on the affordances of any of these devices (Banks, 2018). Headphones are designed for listening to music. Hearing aids are designed as an aid for the hearing impaired. Ear plugs reduce unwanted sounds by cancelling noise. Hearables offer comparable features and additionally provide users with a microphone and connectivity to the internet supporting telephony and personal digital assistant (PDA) services (Computational Thinkers, n.d.). Prior to 2017, in the USA, such devices required the approval of the Food and Drug Administration. This approval is no longer required for hearables, as they are no longer considered to be medical hearing aids (Over the Counter Hearing Aid Act, 2017). This paves the way for the expansion in the market of significantly lower-priced hearables, undercutting the expensively-priced hearing aid market.
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Rusu, Alexandru, Mirana Randriambelonoro, Caroline Perrin, Carlijn Valk, Berta Álvarez und Ann-Kristin Schwarze. „Aspects Influencing Food Intake and Approaches towards Personalising Nutrition in the Elderly“. Journal of Population Ageing 13, Nr. 2 (07.01.2020): 239–56. http://dx.doi.org/10.1007/s12062-019-09259-1.
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AbstractHealthy diets have been demonstrated to complement benefits of physical activity, physical condition and mental wellbeing, all of them being important factors influencing the quality of life of elderly. Unfortunately malnutrition is a serious threat and an increasingly prevalent condition among the fast-growing elderly population. The present work addresses the identification of important factors contributing to decreased appetite and food intake as well as the development of approaches towards a healthy diet and personalised nutrition in elderly. Within the present study semi-structured interviews with elderly and elderly suffering from swallowing and mastication difficulties have been performed, results being used for the development of food provision modules and the corresponding recipes addressing the nutritional requirements of elderly. The social context and the swallowing and mastication difficulties influence the eating behaviour as well as the motivation to eat. On the other hand, it was found that texture modified foods (food which texture is adapted to the need of people with swallowing and mastication problems) could act as motivational aspect. With regard to food personalisation in the elderly the consideration of three different case scenarios based on individual independency and the degree of oral impairment seemed to be appropriate. Different aspects such as gender weight, physical activity level as well as high protein demand are important influential factors in the development of personalised recipes in elderly. In addition to the above, a conversational agent was developed as behaviour change module and can be successfully used as smart personal assistant in helping the users to understand their eating habits and adopt healthier nutrition over the long term.
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Winkler, Rainer, Matthias Soellner und Jan Marco Leimeister. „Improving Students’ Problem-Solving Skills with Smart Personal Assistants“. Academy of Management Proceedings 2020, Nr. 1 (August 2020): 11496. http://dx.doi.org/10.5465/ambpp.2020.11496abstract.
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Maria Michael Visuwasam, L., D. Paulraj, G. Gayathri, K. Divya, S. Hariprasath und A. Jayaprakashan. „Intelligent Personal Digital Assistants and Smart Destination Platform (SDP) for Globetrotter“. Journal of Computational and Theoretical Nanoscience 17, Nr. 5 (01.05.2020): 2254–60. http://dx.doi.org/10.1166/jctn.2020.8880.
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Travel and tourism is the leading application field in the era of 21st century. As it is not possible for the tourist to always prefer the guide book, guide or any other sources for the information of any location. Our work aims to address these challenges by proposing the algorithms to recommend personalized travel itineraries for both individuals and group of tourist based on their interest preferences. The main approach of this recommendation system is to improvise the older existing applications by providing various analytical results. In-order to make best plans and knowing multiple details about the unknown places is quite a difficult issue. So our recommendation system helps to solve such problems. It uses Geomatic mapping for location which is stored in cloud, also can be viewed in offline. Experimental evaluation in Flickr dataset of multiple cites forming links between images sharing common metadata from tourist. Weather is predicted using Hadoop, also the way of travelling to communicate across different places is identified by the recommendation system. One other facility in this recommendation system consists of a translator, translates words or sentences into native language. These patterns score found in historical data can be used for predicting the future.
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Kim, In-Cheol, und Hui-Kyoung Oh. „A Smart Script System for Implementing Intelligent Behaviors of Mobile Personal Assistants“. KIPS Transactions:PartB 18B, Nr. 2 (30.04.2011): 83–86. http://dx.doi.org/10.3745/kipstb.2011.18b.2.083.
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Sciascia, Savino, Massimo Radin, Irene Cecchi, Pierluigi Di Nunzio, Nicola Buccarano, Federico Di Gregorio, Milone Valeria et al. „Tailoring Tofacitinib Oral Therapy in Rheumatoid Arthritis: The TuTORApp—A Usability Study“. International Journal of Environmental Research and Public Health 17, Nr. 10 (15.05.2020): 3469. http://dx.doi.org/10.3390/ijerph17103469.
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Objective: To create a mobile application able to help patients follow medical treatments properly. Methods: We designed and developed a custom Android/iOS App to remind patients of the pharmaceutical drugs to be taken, of the visits and exams to attend, and to detect their compliance with their personal therapeutic plan. In this paper we describe the App development, UX/UI design, Gamification. TuTOR is an Android and iOS application designed to remind patients of the drugs to be taken, giving them all the information related to their therapeutic plans in a simple and non-invasive way. Thanks to a dedicated back-office, specially designed to meet specific medical information needs, the App can also help physicians detect their patients’ compliance with their treatments and modify prescriptions in real time. The App also ensures a state-of-the-art approach to data security and privacy protection. The main feature of TuTOR is the smart therapy assistant, which features dedicated alarms to remind users of taking their prescription drugs. Thanks to the automatic synchronization with a local database, the alert system works even without connection to the Internet. Particular attention was paid during the App’s design process: we looked to create an intuitive interface to ensure absolute ease of use, with state-of-the-art visual design aimed at maximizing user experience. Other relevant features include the App’s ability to givevisual evidence of the most important drugs to be taken and its note-taking feature, which gives patients the possibility to note down indications on why a specific drug was skipped. The App also keeps track of upcoming medical exams, laboratory tests, and visits on a devoted calendar. It also helps patients by listing therapy contacts, such as physicians’ phone numbers, and indicates all medical references by showing, for example, locations of relevant clinics and pharmacies on a map. Thanks to specific visual progress indicators and an innovative gamification approach, the App encourages users to faithfully follow therapy guidelines. With TuTOR, assessing the therapy’s state of completion is quick and easy.Thanksto the privacy-by-design approach used, all data managed by the system is compliant with the European Privacy Regulation and it is not available to third parties. Expected results: A mobile App for medication adherence might increase objectively and subjectively measured adherence.
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Et. al., S. A. Sivasankari,. „Voice Controlled Personal Assistive Bot with Object Detection“. Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, Nr. 4 (10.04.2021): 578–84. http://dx.doi.org/10.17762/turcomat.v12i4.539.
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Currently innovation has made our lives simpler for individuals. Be that as it may, from this innovation, certain gatherings of individuals need more assistance and backing for old or handicap individuals. This innovation can make a method of having a typical life. Thus, we zeroed in on the idea of an individual colleague robot. The fundamental objectisto supply helptodebilitated people.ThisPerson alassistive Bot help to decrease the manual endeavors being put by people in their everyday errands. The intention is to execute a specialized work that is voice controlling one which can act as a PA that can performvarious errands or administrations for a person.This is uncommonly intended for this group of people asits primary reason for existing is to supply help to relate senior or debilitated individual. The human voice order is given to the mechanical right hand distantly,by utilizing a voice order.The automaton will perform different movements: Forward, Backward, Right, Left and start/stop activities. The robot can likewise peruse and perceive the letter sets and text and the words which are said by the person will check from the google dictionary and printasatext.The capability of the robotisto detect the objects and relocate the m from one place to another and includes the face recognition. So, our main ideology is to create a personal assistance bot, which is capable of handling small objects. We are planning to make the bot consisting of four wheels and an arm placed on top. Using Raspberry Pi, we are communicating the sensors and motors throughour voice commands. Smart assistants like Google for android,Sir ifor Apple,Corton a for Microsoft,the seassistive gives us a platform to communicate to a bot. Asweare programming on Python, Amodule name Pyaudio will helpto communicate with a bot and having the extra feature like ‘Speechto Text’.And we would like to add an extra feature like object and person detection. A Camera module will be installed for capturing video and recognize the Humans and objects carried out with Machine Learning Algorithm
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ADESINA, ADEMOLA DANIEL, Olubunmi AKERELE und Hanat RAJI-LAWAL. „Using mobile communication as a tool for national growth and development“. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 14, Nr. 12 (16.09.2015): 6351–60. http://dx.doi.org/10.24297/ijct.v14i12.1760.
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Mobile communication emergence has brought a whole palette of new possibilities in information sharing not only for individual development but also for national growth. New mobile information devices such as Personal Digital Assistants, Smart-phones, i-phones and the like put forward several advantages for personal assistance to the mobile users. They can present up-to-date spatial/non-spatial information in a very individual, dynamic, and flexible way for the mobile users. Mobile communication devices can provide and run many other services and applications which are aimed at presenting to the mobile users the right information in the right moment and at the right place. This improves the economics and strengthens the national growth and development. The evaluations of mobile communication development projects are required in order to have a better understand on its impact on nations’ economic, politics and social growth. The research identifies the roles of mobile communication as a means for partnering with the private and public organisations in order to provide better services and awareness for the national growth and development.Â
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Pridmore, Jason, Michael Zimmer, Jessica Vitak, Anouk Mols, Daniel Trottier, Priya C. Kumar und Yuting Liao. „Intelligent Personal Assistants and the Intercultural Negotiations of Dataveillance in Platformed Households“. Surveillance & Society 17, Nr. 1/2 (31.03.2019): 125–31. http://dx.doi.org/10.24908/ss.v17i1/2.12936.
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The platformization of households is increasingly possible with the introduction of “intelligent personal assistants” (IPAs) embedded in smart, always-listening speakers and screens, such as Google Home and the Amazon Echo. These devices exemplify Zuboff’s “surveillance capitalism” by commodifying familial and social spaces and funneling data into corporate networks. However, the motivations driving the development of these platforms—and the dataveillance they afford—vary: Amazon appears focused on collecting user data to drive personalized sales across its shopping platform, while Google relies on its vast dataveillance infrastructure to build its AI-driven targeted advertising platform. This paper draws on cross-cultural focus groups regarding IPAs in the Netherlands and the United States. It reveals how respondents in these two countries articulate divergent ways of negotiating the dataveillance affordances and privacy concerns of these IPA platforms. These findings suggest the need for a nuanced approach to combating and limiting the potential harms of these home devices, which may otherwise be seen as equivalents.
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Borelli, Elena, Giacomo Paolini, Francesco Antoniazzi, Marina Barbiroli, Francesca Benassi, Federico Chesani, Lorenzo Chiari et al. „HABITAT: An IoT Solution for Independent Elderly“. Sensors 19, Nr. 5 (12.03.2019): 1258. http://dx.doi.org/10.3390/s19051258.
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In this work, a flexible and extensive digital platform for Smart Homes is presented, exploiting the most advanced technologies of the Internet of Things, such as Radio Frequency Identification, wearable electronics, Wireless Sensor Networks, and Artificial Intelligence. Thus, the main novelty of the paper is the system-level description of the platform flexibility allowing the interoperability of different smart devices. This research was developed within the framework of the operative project HABITAT (Home Assistance Based on the Internet of Things for the Autonomy of Everybody), aiming at developing smart devices to support elderly people both in their own houses and in retirement homes, and embedding them in everyday life objects, thus reducing the expenses for healthcare due to the lower need for personal assistance, and providing a better life quality to the elderly users.
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Khan, Haider Ali, Raed Abdulla, Sathish Kumar Selvaperumal und Ammar Bathich. „IoT based on secure personal healthcare using RFID technology and steganography“. International Journal of Electrical and Computer Engineering (IJECE) 11, Nr. 4 (01.08.2021): 3300. http://dx.doi.org/10.11591/ijece.v11i4.pp3300-3309.
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Internet of things (IoT) makes it attainable for connecting different various smart objects together with the internet. The evolutionary medical model towards medicine can be boosted by IoT with involving sensors such as environmental sensors inside the internal environment of a small room with a specific purpose of monitoring of person's health with a kind of assistance which can be remotely controlled. RF identification (RFID) technology is smart enough to provide personal healthcare providing part of the IoT physical layer through low-cost sensors. Recently researchers have shown more IoT applications in the health service department using RFID technology which also increases real-time data collection. IoT platform which is used in the following research is Blynk and RFID technology for the user's better health analyses and security purposes by developing a two-level secured platform to store the acquired data in the database using RFID and Steganography. Steganography technique is used to make the user data more secure than ever. There were certain privacy concerns which are resolved using this technique. Smart healthcare medical box is designed using SolidWorks health measuring sensors that have been used in the prototype to analyze real-time data.
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Erdley, Willia Scot. „Personal Digital Assistants, Wireless Computing, Smart Cards, and Biometrics: A Hardware Update for Clinical Practice“. Journal of Obstetric, Gynecologic & Neonatal Nursing 35, Nr. 1 (Januar 2006): 157–63. http://dx.doi.org/10.1111/j.1552-6909.2006.00006.x.
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Et. al., Priyajot,. „ENHANCED SECURITY FRAMEWORK FOR THE SMART HOME AUTOMATION SYSTEM“. INFORMATION TECHNOLOGY IN INDUSTRY 9, Nr. 2 (27.03.2021): 567–75. http://dx.doi.org/10.17762/itii.v9i2.387.
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Elderly care as well as enhance the quality of life for seniors, the users must be supplied with a lot of personal information about their homes and personal lives. This promising technology is being blocked by results in security and privacy. With the intent to empower end users, we did semi-struct interviews with 42 potential new and novice Smart Home customers. The issues they were concerned with focused on were connected around attacks on Smart Home data and devices, as well as the effect on users in general, to the importance of keeping their functionality balanced with the expectations of the people in their surroundings. In addition, we use measures from an interdisciplinary point of view to deal with the four topics The paper concludes with a few ideas for dealing with users' concerns, along with ideas for supporting application developers in crafting effective user-oriented digital assistants.
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Petrov, K. E. „Digital Diplomacy and US Consular Assistance“. Journal of International Analytics, Nr. 3 (28.09.2019): 7–15. http://dx.doi.org/10.46272/2587-8476-2019-0-3-7-15.
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The paper discusses the digitization of diplomacy and the consular assistance at the present stage of the communication technologies development. Globalization, and especially the rapid development of the mass media and social media has affected almost every citizen. This process allowed the Foreign offices to come closer to resolving the issue of smart personal communication with nationals who are abroad. The first part of the paper analyzes the possibilities of using the power of the modern social media by the Ministries of foreign affairs to create and maintain effective crisis communication. The second part of the article focuses on the analysis of a digital consular assistance to nationals at home and abroad using the example of a specialized application created by the US Department of State.
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Park, Yu Jin, Ki Eun Seong, Seol Young Jeong und Soon Ju Kang. „Self-Organizing Wearable Device Platform for Assisting and Reminding Humans in Real Time“. Mobile Information Systems 2016 (2016): 1–15. http://dx.doi.org/10.1155/2016/6048213.
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Most older persons would prefer “aging in my place,” that is, to remain in good health and live independently in their own home as long as possible. For assisting the independent living of older people, the ability to gather and analyze a user’s daily activity data would constitute a significant technical advance, enhancing their quality of life. However, the general approach based on centralized server has several problems such as the usage complexity, the high price of deployment and expansion, and the difficulty in identifying an individual person. To address these problems, we propose a wearable device platform for the life assistance of older persons that automatically records and analyzes their daily activity without intentional human intervention or a centralized server (i.e., cloud server). The proposed platform contains self-organizing protocols, Delay-Tolerant Messaging system, knowledge-based analysis and alerting for daily activities, and a hardware platform that provides low power consumption. We implemented a prototype smart watch, called Personal Activity Assisting and Reminding (PAAR), as a testbed for the proposed platform, and evaluated the power consumption and the service time of example scenarios.
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Sun, Hui Bin, Ping Yu Jiang, B. Yu und M. Zheng. „An SVG-Based Interactive Drawing Viewing Solution for Mobile Design or Manufacturing Collaboration“. Applied Mechanics and Materials 10-12 (Dezember 2007): 208–12. http://dx.doi.org/10.4028/www.scientific.net/amm.10-12.208.
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To enable drawing viewing in the mobile manufacturing collaboration environment, an SVG-based solution is proposed. It converts the CAD files into SVG (Scalable Vector Graphics) files for PCs, PDAs(Personal Digital Assistants) and smart phones. Assisted by corresponding SVG viewer, different terminals can view the same file at the same time. On the basis of operation decoding and encoding, collaborative interaction and awareness can be supported. The solution implements drawing viewing across heterogeneous terminals. And it can benefit the mobile design or manufacturing collaboration a lot in certain case.
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Chen, Zhen Jiao. „The Effects of MWTs Characteristics on User Satisfaction in Mobile Government Systems“. Key Engineering Materials 474-476 (April 2011): 1745–49. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.1745.
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Mobile and wireless technologies (MWTs), such as wireless laptop computers, personal digital assistants (PDA), mobile phones, smart phones, etc., have been widely used in our lives. Government agencies are using MWTs to enhance their managerial effectiveness and provide convenient service to citizens. Based on fairness theory, this study develops a typology of the characteristics of MWTs in m-Government systems: transparency-related MWTs characteristics, information accuracy-related MWTs characteristics and voice-related MWTs characteristics, and examine how the three categories of MWTs characteristics affect user satisfaction in mobile government systems.
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Costa, Manuella, Marison Luiz Soares, Murilo Zamboni Alvarenga und Daniel Nascimento-e-Silva. „The mediating effect of academic experience on the relationship between personal resilience and satisfaction of students registered in student assistance“. Research, Society and Development 9, Nr. 11 (06.11.2020): e1079119721. http://dx.doi.org/10.33448/rsd-v9i11.9721.
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Bearing in mind that each student has distinct resilience characteristics that help him to face the difficulties that interfere with his academic satisfaction, the general objective of this work was to verify the impact of personal resilience and academic experience on the satisfaction of students registered in student assistance for a Federal University. As for the methods and procedures, a quantitative approach was used, in which an online questionnaire was applied to students registered in the student assistance of this university for data collection, with a return of 493 complete answers. Data analysis was performed using the Structural Equation Modeling technique, using the Smart-PLS software. The results showed that personal resilience positively impacts the student's academic experience and that this in turn positively impacts student satisfaction with the University. On the other hand, it was found that personal resilience does not directly impact satisfaction, only indirectly, through academic experience. Thus, the academic experience is presented as a mediating factor in this relationship. Furthermore, the proposed model was able to explain 65.20% of the students' satisfaction with the University.
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Richer, Robert, Nan Zhao, Bjoern M. Eskofier und Joseph A. Paradiso. „Exploring Smart Agents for the Interaction with Multimodal Mediated Environments“. Multimodal Technologies and Interaction 4, Nr. 2 (06.06.2020): 27. http://dx.doi.org/10.3390/mti4020027.
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After conversational agents have been made available to the broader public, we speculate that applying them as a mediator for adaptive environments reduces control complexity and increases user experience by providing a more natural interaction. We implemented and tested four agents, each of them differing in their system intelligence and input modality, as personal assistants for Mediated Atmospheres, an adaptive smart office prototype. They were evaluated in a user study ( N = 33 ) to collect subjective and objective measures. Results showed that a smartphone application was the most favorable system, followed by conversational text and voice agents that were perceived as being more engaging and intelligent than a non-conversational voice agent. Significant differences were observed between native and non-native speakers in both subjective and objective measures. Our findings reveal the potential of conversational agents for the interaction with adaptive environments to reduce work and information overload.
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Bolaños, Manuel, Cesar Collazos und Francisco Gutiérrez. „Reference Framework for Measuring the Level of Technological Acceptance by the Elderly: A Case Study of Virtual Assistants“. TecnoLógicas 24, Nr. 50 (30.01.2021): e1791. http://dx.doi.org/10.22430/22565337.1791.
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Elderly people often have problems to use technology. As a result, the existing diversity of systems and applications adapted to this kind of users is expanding, thus facilitating the communication with their social environment, and supporting their daily activities. The aim of this study was to identify the intention of a group of older adults in Pasto, Colombia, to use smart virtual assistants and the activities in which they think these devices would be useful. Considering the participants’ characteristics and in order to capture their feelings, thoughts, and experiences, we held focus groups to gather precise, clear, and simple information. The results obtained indicate that older adults can potentially use virtual assistants for their daily personal, work-related, and recreational activities. Nevertheless, motivation and technology acceptance are key aspects to ensure the usability of technological systems by this populational group, and user requirements should be well defined in order to identify the characteristics and functionalities that they expect to find in such technology products. Therefore, technology developed for the elderly must meet their essential expectations in order for them to accept and adopt it in their daily lives.Elderly people often have problems to use technology. As a result, the existing diversity of systems and applications adapted to this kind of users is expanding, thus facilitating the communication with their social environment, and supporting their daily activities. The aim of this study was to identify the intention of a group of older adults in Pasto, Colombia, to use smart virtual assistants and the activities in which they think these devices would be useful. Considering the participants’ characteristics and in order to capture their feelings, thoughts, and experiences, we held focus groups to gather precise, clear, and simple information. The results obtained indicate that older adults can potentially use virtual assistants for their daily personal, work-related, and recreational activities. Nevertheless, motivation and technology acceptance are key aspects to ensure the usability of technological systems by this populational group, and user requirements should be well defined in order to identify the characteristics and functionalities that they expect to find in such technology products. Therefore, technology developed for the elderly must meet their essential expectations in order for them to accept and adopt it in their daily lives.
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TAY, FRANCIS E. H., MYO NAING NYAN, TECK HONG KOH, K. H. W. SEAH und YIH YIOW SITOH. „SMART SHIRT THAT CAN CALL FOR HELP AFTER A FALL“. International Journal of Software Engineering and Knowledge Engineering 15, Nr. 02 (April 2005): 183–88. http://dx.doi.org/10.1142/s0218194005002257.
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A smart shirt was developed for geriatric healthcare purposes. It can summon medical assistances via SMS and e-mail when its bearer has fallen. Single axis accelerometers are arranged in medio-lateral, vertical and antero-posterior direction on the shoulder part of the shirt. Using Bluetooth™ transmitter/receiver, signals are transmitted and processed on a Personal Computer (PC) for fall-detection. Upon detection of falls, SMS (Short Messaging Service) and e-mail are sent through GSM (Global System for Mobile Communication) network supported by a local telecommunication service provider. The primary advantage of our detection system compared to other researchers' systems is that fall notification can be sent to individuals and medical health care unit simultaneously to lead to a shortened interval of the arrival of assistance.
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Neville, Stephen. „Eavesmining: A Critical Audit of the Amazon Echo and Alexa Conditions of Use“. Surveillance & Society 18, Nr. 3 (19.08.2020): 343–56. http://dx.doi.org/10.24908/ss.v18i3.13426.
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The emergence of smart speakers and voice-activated personal assistants (VAPAs) calls for updated scrutiny and theorization of auditory surveillance. This paper introduces the neologism and concept of “eavesmining” (eavesdropping + data mining) to characterize a mode of surveillance that operates on the edge of acoustic space and digital infrastructure. In contributing to a sonic epistemology of surveillance, I explain how eavesmining platforms and processes burrow the voice as a medium between sound and data and articulate the acoustic excavation of smart environments. The paper discusses eavesmining in relation to theories of dataveillance, the sensor society, and surveillance capitalism before outlining the potential contributions offered by a theoretical alignment with sound studies literature. The paper centers on an empirical case study of the Amazon Echo and Alexa conditions of use. By conducting a discourse analysis of Amazon’s End User Agreements (EUAs), I provide evidence in support of growing privacy and surveillance concerns produced by Amazon’s eavesmining platform that are obfuscated by the illegibility of the documents.