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

De Gruyter DG Plus DeG Package 2019 Part 1 Available online

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EBSCOhost Academic eBook Collection (North America) Available online

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Format:
Book
Contributor:
Augstein, Mirjam, Editor.
Herder, Eelco, Editor.
Wörndl, Wolfgang, Editor.
Series:
De Gruyter STEM
Language:
English
Subjects (All):
Human-machine systems.
Physical Description:
1 online resource (xiii, 306 pages) : illustrations
Place of Publication:
München ; Wien : De Gruyter Oldenbourg, [2019]
Language Note:
In English.
Summary:
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.
Contents:
Frontmatter
Introduction
Contents
List of Contributing Authors
1. Theory-grounded user modeling for personalized HCI
2. Opportunities and challenges of utilizing personality traits for personalization in HCI
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
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
Notes:
Includes bibliographical references and index.
Description based on online resource; title from PDF title page (publisher's Web site, viewed 06. Apr 2020)
ISBN:
3-11-055248-5
OCLC:
1125189055

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