Personalized Human-Computer Interaction / / ed. by Mirjam Augstein, Eelco Herder, Wolfgang Wörndl.

• Superior document: Title is part of eBook package: De Gruyter DG OWV ebook Paket Lehrbücher Technik und Informatik 2019
• MitwirkendeR: Abascal, Julio,; Arbelaitz, Olatz,; Au, Quay,; Augstein, Mirjam,; Bischl, Bernd,; Buschek, Daniel,; Bühner, Markus,; Chen, Wenqian,; Dietz, Linus W.,; Ferwerda, Bruce,; Gardeazabal, Xabier,; Geng, Weidong,; Graus, Mark P.,; Grossmann, Wilfried,; Hansen, Preben,; Herzog, Daniel,; Hussmann, Heinrich,; Jannach, Dietmar,; Jugovac, Michael,; Knees, Peter,; Kravčík, Miloš,; Laplante, Audrey,; Li, Xiangdong,; Lucke, Ulrike,; Moebert, Tobias,; Muguerza, Javier,; Neidhardt, Julia,; Neumayr, Thomas,; Nunes, Ingrid,; Pérez, J. Eduardo,; Schedl, Markus,; Schneider, Jan N.,; Schödel, Ramona,; Sertkan, Mete,; Stachl, Clemens,; Sun, Lingyun,; Tscherejkina, Anna,; Valencia, Xabier,; Völkel, Sarah Theres,; Werthner, Hannes,; Wörndl, Wolfgang,; Yera, Ainhoa,; Zhou, Yunzhan,; Zoerner, Dietmar,
• HerausgeberIn: Augstein, Mirjam,; Herder, Eelco,; Wörndl, Wolfgang,
• Place / Publishing House: München ;, Wien : : De Gruyter Oldenbourg, , [2019]; ©2019
• Year of Publication: 2019
• Language: English
• Series: De Gruyter Textbook
• Physical Description: 1 online resource (XIV, 306 p.)

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,...

Table of Contents

• Frontmatter
• Introduction
• Contents
• List of Contributing Authors
• Part I: Foundations of user modeling
• 1. Theory-grounded user modeling for personalized HCI
• 2. Opportunities and challenges of utilizing personality traits for personalization in HCI
• Part II: User input and feedback
• 3. Automated personalization of input methods and processes
• 4. How to use socio-emotional signals for adaptive training
• 5. Explanations and user control in recommender systems
• Part III: Personalization approaches
• 6. Tourist trip recommendations – foundations, state of the art, and challenges
• 7. Pictures as a tool for matching tourist preferences with destinations
• 8. Towards personalized virtual reality touring through cross-object user interfaces
• 9. User awareness in music recommender systems
• 10. Personalizing the user interface for people with disabilities
• 11. Adaptive workplace learning assistance
• Index