Relevant bibliographies by topics / Extreme user

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Extreme user'

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Published: 25 May 2024

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Journal articles on the topic "Extreme user"

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Lee, Seoung Eun and 김승인. "Mobile Fitness Application’s User Experience Study - Analytic focus on Extreme users -." Journal of Digital Design 14, no. 3 (July 2014): 769–77. http://dx.doi.org/10.17280/jdd.2014.14.3.076.

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Basak, A., and S. T. Roy. "Visual Ergonomics for Colourblindness: Applying Universal Design Principles in Graphical User Interface to Provide Affordance to the Colourblind Users." Proceedings of the Design Society 2 (May 2022): 2055–66. http://dx.doi.org/10.1017/pds.2022.208.

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AbstractWith evolution of Graphical User Interface, the access to the computer interface was expanded to cater to the extreme user categories by providing accessibility features and making the computer interface more inclusive. One such extreme user category is colourblind, which has a special accessibility requirement from the GUI. This paper studies the iconography of the Microsoft Windows operating system interface with an objective to develop an inclusive icon design solution that is visually ergonomic for colourblind users to include them as a mainstream user category in a computer interface.
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Johansson, Stefan, Per-Olof Hedvall, Mia Larsdotter, Thomas P. Larsson, and Catharina Gustavsson. "Co-Designing with Extreme Users: A Framework for User Participation in Design Processes." Scandinavian Journal of Disability Research 25, no. 1 (2023): 418–30. http://dx.doi.org/10.16993/sjdr.952.

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Cheng, Zhi Gang, Jie Fan, Xiunian Jing, and Li Lu. "Sub-millikelvin station at Synergetic Extreme Condition User Facility." Chinese Physics B 27, no. 7 (July 2018): 070702. http://dx.doi.org/10.1088/1674-1056/27/7/070702.

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Gamage, Dilrukshi, Indika Perera, and Shantha Fernando. "Exploring MOOC User Behaviors Beyond Platforms." International Journal of Emerging Technologies in Learning (iJET) 15, no. 08 (April 24, 2020): 161. http://dx.doi.org/10.3991/ijet.v15i08.12493.

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MOOC user behavior is generally studied using the data collected within platform interactions in the learning system or via outside social media platforms. It is important to understand the root causes of anomalies in MOOCs, such as the 80% attrition, less interactions within platforms and what causing the reflected behaviors beyond platforms. We study MOOC student behaviors outside the platform using ethnographic methods, mainly focusing on diary study and interviews. Two groups, 11 extreme users who have completed many MOOCs and 10 who never completed MOOC have been used to collect data. The log sheets data and interviews were analyzed using the Epistemic Network Analysis (ENA) method to explore if there is a significance between these 2 groups and other qualitative comparisons to explore behavioral patterns. Our results indicated 4 behavioral patterns with insights into a significant level of learner's habits between extreme and novice users’ behaviors leading to completion or dropping. This reflects the design gaps of MOOC platforms and based on the behavioral patterns, we provide recommendations to meet the learners' needs.
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Sim, Kok Swee, Desmond Teck Kiang Kho, Mohsen Esmaeilinia, Yang Lee, and Chung Sheng Ee. "Graphic User Interface for Extreme Level Eliminating Adaptive Histogram Equalization." Journal of Image and Graphics 4, no. 1 (2016): 42–45. http://dx.doi.org/10.18178/joig.4.1.42-45.

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Mantoro, Teddy, Akeem Olowolayemo, Sunday O. Olatunji, Media A. Ayu, and Abu Osman. "Extreme learning machine for user location prediction in mobile environment." International Journal of Pervasive Computing and Communications 7, no. 2 (June 28, 2011): 162–80. http://dx.doi.org/10.1108/17427371111146446.

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Lwambuka, Ladislaus, and Primus V. Mtenga. "Bridge Management Strategy Based on Extreme User Costs for Bridge Network Condition." Advances in Civil Engineering 2014 (2014): 1–5. http://dx.doi.org/10.1155/2014/390359.

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This paper presents a practical approach for prioritization of bridge maintenance within a given bridge network. The maintenance prioritization is formulated as a multiobjective optimization problem where the simultaneous satisfaction of several conflicting objectives includes minimization of maintenance costs, maximization of bridge deck condition, and minimization of traffic disruption and associated user costs. The prevalence of user cost during maintenance period is twofold; the first case refers to the period of dry season where normally the traffic flow is diverted to alternative routes usually resurfaced to regain traffic access. The second prevalence refers to the absence of alternative routes which is often the case in the least developed countries; in this case the user cost referred to results from the waiting time while the traffic flow is put on hold awaiting accomplishment of the maintenance activity. This paper deals with the second scenario of traffic closure in the absence of alternative diversion routes which in essence results in extreme user cost. The paper shows that the multiobjective optimization approach remains valid for extreme cases of user costs in the absence of detour roads as often is the scenario in countries with extreme poor road infrastructure.
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Li, Yuancheng, Yaqi Cui, and Xiaolong Zhang. "User Power Behavior Similarity Clustering Based on Unsupervised Extreme Learning Machine Algorithm." Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 13, no. 5 (September 22, 2020): 641–49. http://dx.doi.org/10.2174/2352096512666191004130655.

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Background: Advanced Metering Infrastructure (AMI) for the smart grid is growing rapidly which results in the exponential growth of data collected and transmitted in the device. By clustering this data, it can give the electricity company a better understanding of the personalized and differentiated needs of the user. Objective: The existing clustering algorithms for processing data generally have some problems, such as insufficient data utilization, high computational complexity and low accuracy of behavior recognition. Methods: In order to improve the clustering accuracy, this paper proposes a new clustering method based on the electrical behavior of the user. Starting with the analysis of user load characteristics, the user electricity data samples were constructed. The daily load characteristic curve was extracted through improved extreme learning machine clustering algorithm and effective index criteria. Moreover, clustering analysis was carried out for different users from industrial areas, commercial areas and residential areas. The improved extreme learning machine algorithm, also called Unsupervised Extreme Learning Machine (US-ELM), is an extension and improvement of the original Extreme Learning Machine (ELM), which realizes the unsupervised clustering task on the basis of the original ELM. Results: Four different data sets have been experimented and compared with other commonly used clustering algorithms by MATLAB programming. The experimental results show that the US-ELM algorithm has higher accuracy in processing power data. Conclusion: The unsupervised ELM algorithm can greatly reduce the time consumption and improve the effectiveness of clustering.
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Chua, Tat-Seng, Huanbo Luan, Maosong Sun, and Shiqiang Yang. "NExT: NUS-Tsinghua Center for Extreme Search of User-Generated Content." IEEE Multimedia 19, no. 3 (July 2012): 81–87. http://dx.doi.org/10.1109/mmul.2012.39.

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Dissertations / Theses on the topic "Extreme user"

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Redondo, Ruiz Daniel. "Unobtrusive interaction design in extreme sports : What aspects are important to consider when designing an unobtrusive interaction for wearable devices in extreme sports?" Thesis, Umeå universitet, Institutionen för informatik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-90201.

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This paper is a study of the aspects that are important to consider when designing an unobtrusive interaction for wearable devices in the area of extreme sports. The work is based on an analytical study of seemly-unrelated areas with the common facet that they all call for an unobtrusive interaction in their devices. The findings of the analysis conclude that it is necessary a change of direction in the design because it is not possible to design an unobtrusive interaction that relies on active manipulation. Activity theory and affective computing present theoretical principles with the potential to be used as a framework for HCI and solve the mentioned issues. Finally, I design the user interface of a specific case in the areas of mountain biking and skiing to use it as design-oriented research. An essential aspect of this case is the use of expert feedback and video simulations to drive the design process. Another important point is the definition of the situations and variables that will be observed by the system to adapt itself so it is able to continue being unobtrusive and helpful through the changes.
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Vogel, Michael. "Kundenintegration in die Innovations-Frühphase Methodentransfer für Industriegüter aus der Software-Entwicklung /." St. Gallen, 2005. http://www.biblio.unisg.ch/org/biblio/edoc.nsf/wwwDisplayIdentifier/02603660001/$FILE/02603660001.pdf.

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Schreier, Martin, Stefan Oberhauser, and Reinhard Wilhelm Prügl. "Lead users and the adoption and diffusion of new products: Insights from two extreme sports communities." Springer Verlag, 2007. http://dx.doi.org/10.1007/s11002-006-9009-3.

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Lead users are proposed as a valuable resource for marketers in terms of the (1) development, (2) adoption, and (3) diffusion of new products. We present the first consumer study to provide evidence that the latter two suggestions are justified. First, we find that lead users demonstrate stronger domain-specific innovativeness than more "ordinary" users. Second, lead users perceive new technologies as less "complex" and might therefore be better prepared to adopt them. Third, we find that lead users demonstrate stronger opinion leadership and weaker opinion seeking tendencies. Finally, we discuss the implications of our findings for the marketing of new products. (authors' abstract)
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Hansson, Kristina. "User-Centered Extreme Programming Development : a combination of two software development process in theory and practice." Thesis, University West, Department of Technology, Mathematics and Computer Science, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-549.

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Minuzzi, Tiago da Silva. "Ustory-Refactory: ferramenta de refatoração de requisitos aplicada em cartões user stories (CRC Cards)." Universidade do Vale do Rio do Sinos, 2007. http://www.repositorio.jesuita.org.br/handle/UNISINOS/2242.

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O surgimento de novas metodologias ágeis para apoiar o desenvolvimento de sistemas, como a Extreme Programming (XP), vem causando impacto nas empresas de desenvolvimento de software, especialmente por sua flexibilidade nas mudanças de requisitos no decorrer do projeto. Assim, um melhor entendimento e representação estrutural dos requisitos tornam-se fundamental. Logo, esta pesquisa aplica o conceito das técnicas de refatoração de código dentro da Engenharia de Requisitos, que é focado na metodologia XP, por meios das User Stories. O trabalho aplica um conjunto de padrões e regras que permite aos requisitos expressos em cartões CRC serem refatorados através de pré e pós-condições, sendo que esses requisitos são descritos por mapas conceituais (MC) em formato OWL. Por sua vez, os MCs são convertidos em diagramas de classes da UML por meio da UML-MC que formaliza esta transformação. Dessa forma, o ambiente UStory-Refactory automatiza parcialmente o processo de refatoração e permite que os requisitos refatorados
The emergence of new agile methodologies to support systems development, as the Extreme Programming (XP), has been causing impact on software development companies, specially for its flexibility in the requirements changes during the project. Thus, a better understanding and structural representation of the requirements become basic. Then, this research applies the concept of the code refactoring techniques, inside of the Requirements Engineering, which is focused at XP methodology, through the User Stories. The work applies a set of standards and rules that allows the requirements expressed in CRC cards to be refactored through pre and post-conditions, and the requirements are described for conceptual maps (CMaps) in OWL format. In their turn, the CMaps are converted into UML classes diagrams by the UML-MC that formalizes this transformation. This way, the UStory-Refactory environment partially automatizes the refactoring process and allows the refactored requirements to be exported in OWL format, promoting
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Arun, Ashutosh. "A novel Road User Safety Field Theory for traffic safety assessment applying video analytics." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/234039/1/Ashutosh_Arun_Thesis.pdf.

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This thesis introduces a new Road User Safety Field Theory to proactively assess traffic safety by studying the interactions of various road users at signalised intersections. The proposed theory combines road traffic environmental factors, vehicle capabilities and personal characteristics to determine the extent and strength of road users’ safety ‘bubble’ or field across various traffic interactions. By applying the Artificial Intelligence-based video data analytics, the proposed Road User Safety Field Theory is found to better estimate crash risks in terms of crash frequency and severity than traditional traffic conflict techniques.
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Hansson, Christina. "User Driven Software Development in a Small Company." Thesis, Blekinge Tekniska Högskola, Institutionen för arbetsvetenskap och medieteknik, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5284.

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Field studies, interviews and participative observations have been the main methods in this master thesis where the author has studied, and partially participated, in the development process of a booking system called FRI. Idavall is the small company that develops this suc-cessful software despite small resources. Characteristic for Idavall is in the way they manage to involve their about 1300 users in the development process. The development process is highly flexible which is required when rapidly changes are common. The overall question in this thesis is: How do Idavall manage to develop this software in a flexible way and successfully involve their users in the development process? Idavall arranges FRI-meetings, courses and demonstrations where users meet each other and a representative from Idavall. All participants discuss FRI and have the opportunity to propose changes, improvements and report bugs. One of the most important parts of the busi-ness idea of Idavall is to offer a proper, friendly and professional support. The support is one of the most important possibilities to be informed about the users? needs, wishes and propos-als. This, what I called, user driven development has a lot of common with Participatory De-sign (PD) where users participate in the design of new software. PD implies that users of software should take part in decisions that affect the system and the way it is used and de-signed. Idavall make use of a kind of Customer Relationship Management (CRM), which is a concept used in the marketing arena. The objective of CRM is to create a strong, mutual and trustful relationship between supplier and customer. By using CRM in combination with PD it is possible to enhance the user participation and enable user driven development. The company has a flexible development process, which is built on an informal way of driving the process. Informal meetings are common where decisions about changes and im-provements are taken quickly. New versions are delivered about 20 times a year. The employ-ees meet several times a day in the central located coffee room and discuss problems. The development process has a lot of common with Extreme Programming (XP), which is a software development methodology that aims to make software development more flexi-ble and focus on highly flexible environments with quickly changing requirements. XP is de-scribed briefly and comparisons are made to the development process of FRI as well as short-comings of XP in the context of PD.
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Costello, Anthony. "Facilitating Information Retrieval in Social Media User Interfaces." Doctoral diss., University of Central Florida, 2014. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/6257.

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As the amount of computer mediated information (e.g., emails, documents, multi-media) we need to process grows, our need to rapidly sort, organize and store electronic information likewise increases. In order to store information effectively, we must find ways to sort through it and organize it in a manner that facilitates efficient retrieval. The instantaneous and emergent nature of communications across networks like Twitter makes them suitable for discussing events (e.g., natural disasters) that are amorphous and prone to rapid changes. It can be difficult for an individual human to filter through and organize the large amounts of information that can pass through these types of social networks when events are unfolding rapidly. A common feature of social networks is the images (e.g., human faces, inanimate objects) that are often used by those who send messages across these networks. Humans have a particularly strong ability to recognize and differentiate between human Faces. This effect may also extend to recalling information associated with each human Face. This study investigated the difference between human Face images, non-human Face images and alphanumeric labels as retrieval cues under different levels of Task Load. Participants were required to recall key pieces of event information as they emerged from a Twitter-style message feed during a simulated natural disaster. A counter-balanced within-subjects design was used for this experiment. Participants were exposed to low, medium and high Task Load while responding to five different types of recall cues: (1) Nickname, (2) Non-Face, (3) Non-Face & Nickname, (4) Face and (5) Face & Nickname. The task required participants to organize information regarding emergencies (e.g., car accidents) from a Twitter-style message feed. The messages reported various events such as fires occurring around a fictional city. Each message was associated with a different recall cue type, depending on the experimental condition. Following the task, participants were asked to recall the information associated with one of the cues they worked with during the task. Results indicate that under medium and high Task Load, both Non-Face and Face retrieval cues increased recall performance over Nickname alone with Non-Faces resulting in the highest mean recall scores. When comparing medium to high Task Load: Face & Nickname and Non-Face significantly outperformed the Face condition. The performance in Non-Face & Nickname was significantly better than Face & Nickname. No significant difference was found between Non-Faces and Non-Faces & Nickname. Subjective Task Load scores indicate that participants experienced lower mental workload when using Non-Face cues than using Nickname or Face cues. Generally, these results indicate that under medium and high Task Load levels, images outperformed alphanumeric nicknames, Non-Face images outperformed Face images, and combining alphanumeric nicknames with images may have offered a significant performance advantage only when the image is that of a Face. Both theoretical and practical design implications are provided from these findings.
Ph.D.
Doctorate
Industrial Engineering and Management Systems
Engineering and Computer Science
Industrial Engineering
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Martins, Júnior Machado. "RequirementX: um a ferramenta para suporte à gerência de requisitos em extreme Programming baseada em mapas conceituais." Universidade do Vale do Rio do Sinos, 2007. http://www.repositorio.jesuita.org.br/handle/UNISINOS/2244.

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Uma das tarefas críticas na confecção de sistemas de software é a elicitação de requisitos, a qual configura uma ação de descoberta de conhecimento. Assim, muitas técnicas são empregadas na tentativa de minimizar conflitos de idéias, conceitos mal formados, interpretações redundantes e omissão de dados; sendo que, para tanto, o uso de cenários, entrevistas, cartões, viewpoints e diagramas de Use Case são utilizados como ferramentas para diminuir a distância entre o técnico e o usuário na definição dos requisitos. Além disso, os Mapas Conceituais têm sido empregados com muita eficiência em tarefas de captura de conhecimento, portanto, este trabalho utiliza esse conceito como forma de organizar, identificar, aprimorar conceitos e definições dos requisitos de um software de forma cooperativa, formatado em User Story da metodologia Extreme Programming (XP). Com esse objetivo, o processo é apoiado por uma ferramenta baseada na web, que automatiza a geração, organização e acompanhamento da captura dos requisitos ge
One of the hardest tasks of building a software system is requirements elicitation, which triggers a knowledge discovery action. Thus, many techniques are used with the intention to minimize idea conflicts, misformed concepts, erroneous interpretations and missing data; In order to achieve this goal, scenarios interviews, User Stories, viewpoints and Use Case diagrams are techniques to reduce the distance between the researcher and the user on requirement elicitation. Concept maps have been used as efficient way to represent knowledge. This research uses concept maps to deal with the organization, identification and improvement of concepts and software requirements definitions in a cooperative way, making use of the User Story format introduced by the Extreme Programming (XP) methodology. The proposed process is supported by a web-based tool, which automates the generation, organization and management of the requirements capture generated in the Concept Maps format
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Han, Han. "Designing Representations for Digital Documents." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG025.

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Des millions d’utilisateurs travaillent à l’aide de documents afin d’effectuer leurs tâches quotidiennes, mais les interfaces utilisateurs n’ont pas fondamentalement changé depuis leur première conception à la fin des années 70. Les ordinateurs d’aujourd’hui sont utilisés par une grande variété d’utilisateurs pour réaliser un large éventail de tâches, ce qui interroge les limites des interfaces actuelles. Je soutiens qu’en se concentrant sur les utilisateurs extrêmes et en adoptant une perspective fondée sur des principes de conception, nous pouvons concevoir des représentations efficaces et flexibles pour soutenir le travail de connaissance lié aux documents. J’étudie d’abord l’une des tâches les plus courantes, à savoir le traitement de texte dans le contexte des documents techniques. En nous concentrant sur les professionnels du droit, nous mettons en lumière les limites des logiciels de traitement de texte actuels. Les professionnels du droit doivent faire appel à leur mémoire pour gérer les dépendances et maintenir un vocabulaire cohérent dans leurs documentations. Pour résoudre ces problèmes, nous introduisons Textlets, des objets interactifs qui réifient les sélections de texte en éléments persistants. Nous présentons un prototype de preuve de concept démontrant plusieurs cas d’utilisation, notamment la recherche et le remplacement sélectifs, le comptage des mots et les mots alternatifs. L’évaluation observationnelle montre l’utilité et l’efficacité de Textlets, ce qui prouve la validité du concept. Au cours de mon travail avec des professionnels du droit, j’ai été initié à la rédaction et au dépôt de brevets. Dans le processus de brevetage, les avocats rédigent des demandes de brevet qui décrivent une invention donnée. Les examinateurs de brevets étudient la demande et décident si un brevet peut lui être accordé. En collaboration avec l’Office européen des brevets, j’ai étudié le processus de recherche et de révision des examinateurs de brevets. L’étude montre la nécessité de gérer le texte de plusieurs documents à travers diverses activités interconnectées, tout en suivant manuellement leur provenance. Je prolonge Textlets pour créer Passages, des objets de sélection de texte qui peuvent être manipulés, réutilisés et partagés entre plusieurs outils. Deux études d’utilisateurs montrent que Passages facilitent les pratiques des professionnels et permettent une plus grande réutilisation des informations. Ces deux projets ont conduit à un autre aspect important du travail intellectuel : la gestion des fichiers. Je me concentre sur les scientifiques, un autre exemple d’utilisateurs extrêmes, pour étudier leurs pratiques de gestion des documents. Les scientifiques travaillent avec une variété d’outils et ils ont des difficultés à utiliser le système de fichiers pour suivre et maintenir la cohérence entre des informations connexes mais distribuées. Nous avons créé FileWeaver, un système qui détecte automatiquement les dépendances entre les fichiers sans action explicite de l’utilisateur, suit leur historique et permet aux utilisateurs d’interagir directement avec les graphiques représentant ces dépendances et l’historique des versions. En rendant les dépendances entre fichiers visibles, FileWeaver facilite l’automatisation des flux de travail des scientifiques et des autres utilisateurs qui s’appuient sur le système de fichiers pour gérer leurs données. Je réfléchis à mon expérience de conception et d’évaluation de ces représentations et propose trois nouveaux principes de conception : granularité, individualité et synchronisation. Avec les résultats empiriques de ces utilisateurs extrêmes, la démonstration technologique de trois prototypes de preuve de concept et trois principes de conception, cette thèse démontre de nouvelles approches originales pour travailler avec des documents. Je soutiens qu’en adoptant une perspective fondée sur les principes et la théorie, nous pouvons contribuer à des concepts d’interface innovants
Millions of users work with documents for their everyday tasks but their user interfaces have not fundamentally changed since they were first designed in the late seventies. Today’s computers come in many forms and are used by a wide variety of users for a wide range of tasks, challenging the limits of current document interfaces. I argue that by focusing on extreme users and taking on a principled perspective, we can design effective and flexible representations to support document-related knowledge work. I first study one of the most common document tasks, text editing, in the context of technical documents. By focusing on legal professionals, one example of extreme document users, we reveal the limits of current word processors. Legal professionals must rely on their memory to manage dependencies and maintain consistent vocabulary within their technical documents. To address these issues, we introduce Textlets, interactive objects that reify text selections into persistent items. We present a proof-of-concept prototype demonstrating several use cases, including selective search and replace, word count, and alternative wording. The observational evaluation shows the usefulness and effectiveness of textlets, providing evidence of the validity of the textlet concept. During my work with legal professionals in the first project, I was introduced to the domain of patent writing and filling. In the patent process, patent attorneys write patent submissions that describe the invention created by the inventor. Patent examiners review the submission and decide whether the submission can be granted as a patent. In collaboration with a European Patent Office, I studied the patent examiners’ search and review process. The study reveals the need to manage text from multiple documents across various interconnected activities, including searching, collecting, annotating, organizing, writing and reviewing, while manually tracking their provenance. I extend Textlets to create Passages, text selection objects that can be manipulated, reused, and shared across multiple tools. Two user studies show that Passages facilitate knowledge workers practices and enable greater reuse of information. These two projects led to another important aspect of knowledge work: file management. I focus on scientists, another example of extreme knowledge workers, to study their document management practices. In an age where heterogeneous data science workflows are the norm, instead of relying on more self-contained environments such as Jupyter Notebooks, scientists work across many diverse tools. They have difficulties using the file system to keep track of, re-find and maintain consistency among related but distributed information. We created FileWeaver, a system that automatically detects dependencies among files without explicit user action, tracks their history, and lets users interact directly with the graphs representing these dependencies and version history. By making dependencies among files explicit and visible, FileWeaver facilitates the automation of workflows by scientists and other users who rely on the file system to manage their data. These three document representations rely on the same underlying theoretical principles: reification, polymorphism and reuse. I reflect on my experience designing and evaluating these representations and propose three new design principles: granularity, individuality and synchronization. Together with the empirical findings from three examples of extreme users, technological demonstration of three proof-of-concept prototypes and three design principles, this thesis demonstrates fresh new approaches to working with documents, a fundamental representation in GUIs. I argue that we should not accept current desktop interfaces as given, and that by taking on a principled and theory-driven perspective we can contribute innovative interface concepts
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Books on the topic "Extreme user"

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Modding Mac OS X: Extreme makeovers for your Mac. Sebastopol, Calif: O'Reilly, 2004.

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Jordan, Lucas L. JavaFX special effects: Taking Java RIA to the extreme with animation, multimedia, and game elements. Berkeley, [Calif.]: Apress, 2009.

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Cynthia, Palmer, and Horowitz Michael 1938-, eds. Sisters of the extreme: Women writing on the drug experience. Rochester, Vt: Park Street Press, 2000.

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Marjana, Martinic, and Measham Fiona 1963-, eds. Swimming with crocodiles: The culture of extreme drinking. New York: Routledge, 2008.

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Uso atual das terras: Bacias do extremo sul e do Rio Jequitinhonha. Salvador: SEI, 2008.

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Jugend und Rausch: Interdisziplinäre Zugänge zu jugendlichen Erfahrungswelten. Weinheim: Juventa, 2010.

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Bavaresco, Paulo Ricardo. Ciclos econômicos regionais: Modernização e empobrecimento no extremo oeste catarinense. Chapecó: Argos, 2005.

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Schmidt, Rick. Extreme DV at used-car prices: How to write, direct, shoot, edit, and produce a digital video feature for less than $3000). New York: Penguin Books, 2004.

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Molnar, Louis. Agile Requirements & User Stories: Extreme Programming Practices for Project Managers and Business Analysts. Multi-Media Publications Inc., 2005.

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Digital Hate: The Global Conjuncture of Extreme Speech. Indiana University Press, 2021.

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Book chapters on the topic "Extreme user"

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Poole, Charlie. "Test-Driven User Interfaces." In Extreme Programming and Agile Processes in Software Engineering, 285–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11499053_51.

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Stephens, Matt, and Doug Rosenberg. "User Stories and Acceptance Tests." In Extreme Programming Refactored: The Case Against XP, 227–45. Berkeley, CA: Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-0810-5_10.

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Bellucci, Andrea, Giulio Jacucci, Veera Kotkavuori, Bariş Serim, Imtiaj Ahmed, and Salu Ylirisku. "Extreme Co-design: Prototyping with and by the User for Appropriation of Web-connected Tags." In End-User Development, 109–24. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18425-8_8.

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Chang, Cheng, Yihong Zhang, Claudia Szabo, and Quan Z. Sheng. "Extreme User and Political Rumor Detection on Twitter." In Advanced Data Mining and Applications, 751–63. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49586-6_54.

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Śmiałek, Michał, Jacek Bojarski, Wiktor Nowakowski, and Tomasz Straszak. "Writing Coherent User Stories with Tool Support." In Extreme Programming and Agile Processes in Software Engineering, 247–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11499053_38.

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Bordin, Silvia. "Towards a More User-Centred Agile Development." In Agile Processes, in Software Engineering, and Extreme Programming, 307–11. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33515-5_31.

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Hendrickson, Chet, Ann Anderson, and Ron Jeffries. "XP Release Planning and User Stories." In Extreme Programming and Agile Methods — XP/Agile Universe 2002, 263. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45672-4_35.

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Śmiałek, Michał. "From User Stories to Code in One Day?" In Extreme Programming and Agile Processes in Software Engineering, 38–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11499053_5.

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Bordin, Silvia, and Antonella De Angeli. "Focal Points for a More User-Centred Agile Development." In Agile Processes, in Software Engineering, and Extreme Programming, 3–15. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33515-5_1.

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Xin, Xin, Yonghao Wang, Yiwen Zhang, Qianqian Wu, Wenmin Yang, Chenhong Yang, Rongrong Zhang, Michael T. Lai, and Wei Liu. "Building up Personas by Clustering Behavior Motivation from Extreme Users." In Design, User Experience, and Usability: UX Research, Design, and Assessment, 120–31. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05897-4_9.

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Conference papers on the topic "Extreme user"

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Raskar, Ramesh. "Extreme Computational Photography." In UIST '15: The 28th Annual ACM Symposium on User Interface Software and Technology. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2807442.2814654.

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Leshchenko, Vyacheslav, Timothy Scarborough, Theodore Ronningen, Jay Gupta, Roland Kawakami, Thomas Allison, Louis F. DiMauro, and Robert Baker. "National eXtreme Ultrafast Science (NeXUS) user facility." In CLEO: Science and Innovations. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/cleo_si.2023.sm1d.3.

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Ponto, Kevin, Daniel Lisowski, and Shuxing Fan. "Designing extreme 3D user interfaces for augmented live performances." In 2016 IEEE Symposium on 3D User Interfaces (3DUI). IEEE, 2016. http://dx.doi.org/10.1109/3dui.2016.7460048.

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Hart, David L. "Longitudinal user and usage patterns in the XSEDE user community." In the 1st Conference of the Extreme Science and Engineering Discovery Environment. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2335755.2335851.

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Perera, Pramuditha, and Vishal M. Patel. "Extreme Value Analysis for Mobile Active User Authentication." In 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017). IEEE, 2017. http://dx.doi.org/10.1109/fg.2017.50.

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Mantoro, Teddy, Akeem Olowolayemo, and Sunday Olusanya Olatunji. "Mobile user location determination using extreme learning machine." In 2010 International Conference on Information and Communication Technology for the Muslim World 2010 (ICT4M). IEEE, 2010. http://dx.doi.org/10.1109/ict4m.2010.5971898.

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Prout, Andrew, William Arcand, David Bestor, Bill Bergeron, Chansup Byun, Vijay Gadepally, Matthew Hubbell, et al. "Enhancing HPC security with a user-based firewall." In 2016 IEEE High Performance Extreme Computing Conference (HPEC). IEEE, 2016. http://dx.doi.org/10.1109/hpec.2016.7761641.

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Ben Hassouna, Asma, and Hend Koubaa. "Extreme throughput multicast in multi-user diversity wireless networks." In the 12th ACM international symposium. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2642668.2642683.

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Buyukcorak, Saliha, Gunes Karabulut Kurt, and Abbas Yongacoglu. "UAV Assisted Ground User Localization." In 2019 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE). IEEE, 2019. http://dx.doi.org/10.1109/wisee.2019.8920296.

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Goodman, Daniel, Behram Khan, Mikel Lujan, and Ian Watson. "Improved Dataflow Executions with User Assisted Scheduling." In 2013 Data-Flow Execution Models for Extreme Scale Computing (DFM). IEEE, 2013. http://dx.doi.org/10.1109/dfm.2013.10.

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Reports on the topic "Extreme user"

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Pereiro, Diego, Oleg Belyaev Korolev, Martha B. Dunbar, Garbriel Navarro, and Caroline Cusack. Best practice on creating "Extreme Marine Events" Hazard maps & forecasts Report. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d6.3.

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This report presents steps for the design and implementation of a marine observatory providing current and forecasted oceanic conditions relevant to the aquaculture sector, with particular focus on “Extreme Marine Events”. Examples of successful implementation of these guidelines in the framework of the EuroSea project are presented for two aquaculture sites: Deenish Island in Ireland and El Campello in Spain. The process starts with stakeholder interaction to understand their main needs and concerns and is followed by the design of the software architecture that carries out the data acquisition, post-processing and visualisation in an open-access web platform. User feedback is of paramount importance during the whole process to ensure the services offered match the needs of the aquaculture sector. (EuroSea Deliverable, D6.3)
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Hoy, Andreas, Åsa Gerger Swartling, and Elin Leander. Adopting a user-oriented approach to make climate information more accessible across Europe. Stockholm Environment Institute, March 2022. http://dx.doi.org/10.51414/sei2022.009.

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Research from the ClimVis Europe project shows that climate information must be presented in more effective ways to reduce climate risks and support adaptation. Users need information that is easy to access, in their own language, and designed to help them make connections between real-time weather events and long-term climate developments. Users of weather and climate data in Europe are aware of only a few (if any) relevant, available tools that provide them with the insights into current, future and long-term meteorological trends that they seek. However, efforts to boost awareness of available tools, while important, will not be enough to meet user demands. Providers of climate information need to consult with stakeholders to co-develop new tools to meet needs and support the uptake of information. Existing European tools have two key shortcomings: limited language and insufficient context. The provision of climate information exclusively in English excludes many users (especially at local and regional levels and in Eastern Europe and Russia). Tools do not link real-time extreme weather with long-term past or future climate trends; such connections are essential to assess climate change-related impacts and adaptation needs. We interpret the results as a call to action, to enhance related communication that is fundamental to the need to reduce climate risks and support adaptation.
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Liguori, Giovanni, and Nadia Pinardi. Evaluation of Extreme Forecast Indices (WP5+6). EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d4.11.

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While originally developed for weather forecasting, the Extreme Forecast index (EFI) concept has found utility in diverse fields. This study marks the inaugural application of EFI principles to numerical ocean forecasting. EFI offers a metric to gauge the forecast's deviation from historical norms specific to the location and time of year. A heightened EFI value signifies that the forecast falls beyond the usual range of variability, signifying a higher probability of extreme conditions. This novel use of EFI stands to benefit oceanographers by identifying significant oceanic events, aiding decision-making, and supporting early warning systems, particularly for extreme marine conditions. It enhances comprehension of forecast uncertainties and facilitates clearer communication of potential risks to the public and stakeholders. Such insights are invaluable for preparedness, coastal management, and mitigating the impact of marine extremes on communities and ecosystems. EFI indices for the Mediterranean Sea are computed using a first implementation of a forecast ensemble system that is being developed for the Mediterranean Sea Monitoring and Forecasting Center of the Copernicus Marine Environment Service. This deliverable report presents the first-ever application of the EFI approach to the Mediterranean Sea. After presenting the EFI definition adopted in this study, we discuss its application to sea surface temperature (SST) and sea surface height (SSH) extremes. A case studies using ensemble forecasts for the year 2021 are presented and discussed. (EuroSea Deliverable, D4.11)
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Watts, Benjamin, and Danielle Kennedy. Additive regulated concrete for thermally extreme conditions. Engineer Research and Development Center (U.S.), May 2024. http://dx.doi.org/10.21079/11681/48510.

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This study details a multiprong effort to validate the Cold Regions Research and Engineering Laboratory’s solution for concrete construction and repair in cold weather, Additive Regulated Concrete for Thermally Extreme Conditions (ARCTEC). ARCTEC is the product of several years of research and consists of a testing and simulation workflow which generates scenario-sensitive guidance for use of accelerating admixtures in concrete. This report details efforts to validate ARCTEC using real-world, full-scale, field demonstrations. These demonstrations were used to collect data on the behavior of concrete obtained through conventional supply chains, to assess the accuracy of the simulation component of the workflow, and test efficacy of ARCTEC guidance in achieving frost protection. Results indicate that ARCTEC is at a high level of maturity, and provides additive dosage guidance that ensures frost protection and strength development in concrete placed where overnight lows fall as low as 0°F. The effort and cost required to implement ARCTEC as a cold weather protection strategy is minimal, and significantly less burdensome than conventional methods. Any cold region installation with a winter construction or repair needs and access to conventional concrete supply chains could field ARCTEC, and reduce the cost and schedule constraints associated with winter construction.
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Letcher, Theodore, Sandra LeGrand, and Christopher Polashenski. The Blowing Snow Hazard Assessment and Risk Prediction model : a Python based downscaling and risk prediction for snow surface erodibility and probability of blowing snow. Engineer Research and Development Center (U.S.), March 2022. http://dx.doi.org/10.21079/11681/43582.

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Blowing snow is an extreme terrain hazard causing intermittent severe reductions in ground visibility and snow drifting. These hazards pose significant risk to operations in snow-covered regions. While many ingredients-based forecasting methods can be employed to predict where blowing snow is likely to occur, there are currently no physically based tools to predict blowing snow from a weather forecast. However, there are several different process models that simulate the transport of snow over short distances that can be adapted into a terrain forecasting tool. This report documents a downscaling and blowing-snow prediction tool that leverages existing frameworks for snow erodibility, lateral snow transport, and visibility, and applies these frameworks for terrain prediction. This tool is designed to work with standard numerical weather model output and user-specified geographic models to generate spatially variable forecasts of snow erodibility, blowing snow probability, and deterministic blowing-snow visibility near the ground. Critically, this tool aims to account for the history of the snow surface as it relates to erodibility, which further refines the blowing-snow risk output. Qualitative evaluations of this tool suggest that it can provide more precise forecasts of blowing snow. Critically, this tool can aid in mission planning by downscaling high-resolution gridded weather forecast data using even higher resolution terrain dataset, to make physically based predictions of blowing snow.
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Thurston, Alison, Logan Gonzalez, Flora Laurent, Elizabeth Corriveau, and Robyn Barbato. Isolation and characterization of bacterial isolates from Alaskan permafrost for synthetic biology applications. Engineer Research and Development Center (U.S.), September 2023. http://dx.doi.org/10.21079/11681/47645.

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Operations in the Artic and other cold regions require technologies that can perform reliably under extreme cold conditions. Permafrost and frozen soils harbor a wide range of microorganisms that have adapted to extremely low temperatures and have unique metabolic capabilities relevant to military operations and that could be exploited to develop biotechnologies optimized for cold environments. Cold-tolerant bacteria (psychrophiles and psychrotrophs) are critical to the development of synthetic biology technologies meant to work in cold environments like the Arctic. Using bacteria isolated from Alaskan permafrost, we applied an experimental pipeline to test the best candidates for use as biological platforms, or chassis, for low-temperature synthetic biology. Since synthetic biology constructs will perform only as well as their chassis, it is critical that circuits expected to perform under extreme cold conditions are housed in chassis that are adapted to those conditions. We identified one permafrost isolate, PTI8, related to Rhodococcus fascians, that is capable of growing from −1°C to at least 25°C and which we experimentally confirmed to uptake and express the broad host range plasmid pBTK519, suggesting PTI8 is a candidate for use as a novel cold-adapted chassis for synthetic biology.
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Meyer, Bruce, Derek Wu, Victoria Mooers, and Carla Medalia. The Use and Misuse of Income Data and Extreme Poverty in the United States. Cambridge, MA: National Bureau of Economic Research, May 2019. http://dx.doi.org/10.3386/w25907.

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Ayala-García, Jhorland, Sandy Dall'erba, and William C. Ridley. Externalities of extreme natural disasters on local tax capacity. Banco de la República de Colombia, July 2021. http://dx.doi.org/10.32468/dtseru.299.

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This paper studies the impact of extreme weather events on the local tax revenue across Colombian municipalities. We follow a two-step approach to evaluate to what extent a municipality’s tax revenue depends on natural disasters taking place both locally and in its trade partners. In the first step, we estimate a gravity model of bilateral trade and construct a trade flow matrix allowing us to measure the strength of the economic relationships between cities. To do so, we build a novel dataset describing the inter-city trade flows for road transported goods in Colombia for the period 2015–2019. In the second step, we use spatial models to estimate the externalities of extreme weather events. Our results reveal that natural disasters in the destination cities increase the tax revenue in the origin city. We provide evidence of the capacity of trade to mitigate the negative effects of natural disasters.
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Al-Chaar, Ghassan, Allison Brandvold, Andrij Kozych, and William Mendoza. 4D printing structures for extreme temperatures using metakaolin based geopolymers. Engineer Research and Development Center (U.S.), April 2023. http://dx.doi.org/10.21079/11681/46750.

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Geopolymers (GPs) are a class of amorphous, aluminosilicate-based ceramics that cure at room temperature. GPs are formed by mixing an aluminosilicate source, which is metakaolin in this case, with an alkali activator solution, which can be either sodium or potassium water glass. GPs have attracted interest for use in structural applications over the past few decades because they have superior mechanical properties to ordinary Portland cement (OPC). Additionally, they can tolerate much higher temperatures and produce a fraction of the CO₂ compared to OPC. This project aims to develop geopolymer composites for 4D printing (the fourth dimension being time) and test their mechanical properties. Rheology and the effects of curing in ambient conditions will be evaluated for fresh geopolymer. Freeze-thaw resistance will be evaluated on potentially printable composites for extreme temperature resistance, etc.
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Birk, Steffen, Christian Griebler, Johannes C. Haas, Alice Retter, Ainur Kokimova, Constanze Englisch, Santiago Gaviria, Johannes Grath, Heike Brielmann, and Christine Stumpp. Impact of extreme hydrological events on the quantity and quality of groundwater in alpine regions – multiple-index application for an integrative hydrogeo-ecological assessment. Verlag der Österreichischen Akademie der Wissenschaften, September 2023. http://dx.doi.org/10.1553/ess-integrative-groundwater-assessment.

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Freshwater ecosystems in mountain areas are considered important water resources and biodiversity hotspots that are highly sensitive to changes in climate. The Alpine region is known to be particularly affected by climate change, including changes in hydrological extremes such as droughts and floods, which are expected to become more frequent and intense. Despite the importance of groundwater as a primary water resource, climate change impacts on groundwater quality, including those resulting from hydrological extremes, have been rarely addressed to date. Moreover, groundwater monitoring is currently focused on physical-chemical indicators, whereas groundwater ecological features such as biodiversity and ecosystem functioning are hardly considered. Against this background, this project addressed the following overarching research question: How do groundwater systems in an alpine and prealpine environment respond to extreme hydrological events in terms of water quantity and chemical quality as well as ecological status? To address this question, the valley of the river Mur from its alpine source area at 2000 m a.s.l. to the Austrian–Slovenian border at 200 m a.s.l. was considered. Thus, the investigation area included alpine and prealpine areas, different type of hydrogeological settings and different human impacts. Existing long-term data was complemented by high-resolution monitoring over time and sampling campaigns addressing wastewater-borne micro-pollutants, microbiological parameters, and groundwater fauna. Our results demonstrate a deterioration of water quality from the alpine source area towards the foreland, corresponding to the more intense agricultural and urban land use in the foreland. The vulnerability of groundwater systems to hydrological extremes is closely related to linkages between water quantity and water quality, which are found to be determined by the groundwater recharge mechanisms and their spatiotemporal dynamics. To achieve a more holistic assessment of groundwater systems, we recommend that their ecosystem nature is taken into account by microbiological indicators that complement existing hydrological and hydrochemical indices. The B-A-(E) index is proposed for this purpose but needs further development by transciplinary research involving local experts and stakeholders to define appropriate reference conditions that enable classifications into meaningful water-quality categories.
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