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Personalized and adaptive systems employ user models to adapt content, services, interaction or navigation to individual users’ needs. User models can be inferred from implicitly observed information, such as the user’s interaction history or current location, or from explicitly entered information, such as user profile data or ratings. Applications of personalization include item recommendation, location-based services, learning assistance and the tailored selection of interaction modalities. With the transition from desktop computers to mobile devices and ubiquitous environments, the need for adapting to changing contexts is even more important. However, this also poses new challenges concerning privacy issues, user control, transparency, and explainability. In addition, user experience and other human factors are becoming increasingly important. This book describes foundations of user modeling, discusses user interaction as a basis for adaptivity, and showcases several personalization approaches in a variety of domains, including music recommendation, tourism, and accessible user interfaces.
Personalization is ubiquitous from search engines to online-shopping websites helping us find content more efficiently and this book focuses on the key developments that are shaping our daily online experiences. With advances in the detection of end users’ emotions, personality, sentiment and social signals, researchers and practitioners now have the tools to build a new generation of personalized systems that will really understand the user’s state and deliver the right content. With leading experts from a vast array of domains from user modeling, mobile sensing and information retrieval to artificial intelligence, human-computer interaction (HCI) social computing and psychology, a broad spectrum of topics are covered. From discussing psychological theoretical models and exploring state-of-the-art methods for acquiring emotions and personality in an unobtrusive way, as well as describing how these concepts can be used to improve various aspects of the personalization process and chapters that discuss evaluation and privacy issues. Emotions and Personality in Personalized Systems will help aid researchers and practitioners develop and evaluate user-centric personalization systems that take into account the factors that have a tremendous impact on our decision-making – emotions and personality.
Defines the psychology of human-computer interaction, showing how to span the gap between science & application. Studies the behavior of users in interacting with computer systems.
Designing Interaction, first published in 1991, presents a broadbased and fundamental re-examination of human-computer interaction as a practical and scientific endeavor. The chapters in this well-integrated, tightly focused book are by psychologists and computer scientists in industry and academia, who examine the relationship between contemporary psychology and human-computer interaction. HCI seeks to produce user interfaces that facilitate and enrich human motivation, action and experience; but to do so deliberately it must also incorporate means of understanding user interfaces in human terms - the province of psychology. Conversely, the design and use of computing equipment provides psychologists with a diverse and challenging empirical field in which to assess their theories and methodologies.
This accessible textbook gives students in psychology and computer science a comprehensive understanding of the human-computer interface.
A significant part of understanding how people use geographic information and technology concerns human cognition. This book provides the first comprehensive in-depth examination of the cognitive aspects of human-computer interaction for geographic information systems (GIS). Cognitive aspects are treated in relation to individual, group, behavioral, institutional, and cultural perspectives. Extensions of GIS in the form of spatial decision support systems and SDSS for groups are part of the geographic information technology considered. Audience: Geographic information users, systems analysts and system designers, researchers in human-computer interaction will find this book an information resource for understanding cognitive aspects of geographic information technology use, and the methods appropriate for examining this use.
Esta enciclopedia presenta numerosas experiencias y discernimientos de profesionales de todo el mundo sobre discusiones y perspectivas de la la interacción hombre-computadoras
Penetrates the human computer interaction (HCI) field with breadth and depth of comprehensive research.
Research Methods in Human-Computer Interaction is a comprehensive guide to performing research and is essential reading for both quantitative and qualitative methods. Since the first edition was published in 2009, the book has been adopted for use at leading universities around the world, including Harvard University, Carnegie-Mellon University, the University of Washington, the University of Toronto, HiOA (Norway), KTH (Sweden), Tel Aviv University (Israel), and many others. Chapters cover a broad range of topics relevant to the collection and analysis of HCI data, going beyond experimental design and surveys, to cover ethnography, diaries, physiological measurements, case studies, crowdsourcing, and other essential elements in the well-informed HCI researcher's toolkit. Continual technological evolution has led to an explosion of new techniques and a need for this updated 2nd edition, to reflect the most recent research in the field and newer trends in research methodology. This Research Methods in HCI revision contains updates throughout, including more detail on statistical tests, coding qualitative data, and data collection via mobile devices and sensors. Other new material covers performing research with children, older adults, and people with cognitive impairments. - Comprehensive and updated guide to the latest research methodologies and approaches, and now available in EPUB3 format (choose any of the ePub or Mobi formats after purchase of the eBook) - Expanded discussions of online datasets, crowdsourcing, statistical tests, coding qualitative data, laws and regulations relating to the use of human participants, and data collection via mobile devices and sensors - New material on performing research with children, older adults, and people with cognitive impairments, two new case studies from Google and Yahoo!, and techniques for expanding the influence of your research to reach non-researcher audiences, including software developers and policymakers