Personalized Human-Computer Interaction

Published by De Gruyter Oldenbourg 2019

Personalized Human-Computer Interaction

Edited by: Mirjam Augstein , Eelco Herder and Wolfgang Wörndl

In the series De Gruyter STEM

In the series De Gruyter Textbook

https://doi.org/10.1515/9783110552485

Overview
Contents

About this book

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.

Most topical issues of Human-Computer Interaction such as personalization, adaptive user interfaces, intelligent agents.
Includes methods, tools, examples, and case studies.

Author / Editor information

Mirjam Augstein, FH Hagenberg. Eelco Herder, Radboud University Nijmegen. Wolfgang Wörndl, TU München.

Topics

Frontmatter Publicly Available Download PDF	I
Introduction Publicly Available Download PDF	V
Contents Publicly Available Download PDF	IX
List of Contributing Authors Publicly Available Download PDF	XI
Part I: Foundations of user modeling
1. Theory-grounded user modeling for personalized HCI Mark P. Graus and Bruce Ferwerda Requires Authentication Unlicensed Licensed Download PDF	1
2. Opportunities and challenges of utilizing personality traits for personalization in HCI Sarah Theres Völkel, Ramona Schödel, Daniel Buschek, Clemens Stachl, Quay Au, Bernd Bischl, Markus Bühner and Heinrich Hussmann Requires Authentication Unlicensed Licensed Download PDF	31
Part II: User input and feedback
3. Automated personalization of input methods and processes Mirjam Augstein and Thomas Neumayr Requires Authentication Unlicensed Licensed Download PDF	67
4. How to use socio-emotional signals for adaptive training Tobias Moebert, Jan N. Schneider, Dietmar Zoerner, Anna Tscherejkina and Ulrike Lucke Requires Authentication Unlicensed Licensed Download PDF	103
5. Explanations and user control in recommender systems Dietmar Jannach, Michael Jugovac and Ingrid Nunes Requires Authentication Unlicensed Licensed Download PDF	133
Part III: Personalization approaches
6. Tourist trip recommendations – foundations, state of the art, and challenges Daniel Herzog, Linus W. Dietz and Wolfgang Wörndl Requires Authentication Unlicensed Licensed Download PDF	159
7. Pictures as a tool for matching tourist preferences with destinations Wilfried Grossmann, Mete Sertkan, Julia Neidhardt and Hannes Werthner Requires Authentication Unlicensed Licensed Download PDF	183
8. Towards personalized virtual reality touring through cross-object user interfaces Xiangdong Li, Yunzhan Zhou, Wenqian Chen, Preben Hansen, Weidong Geng and Lingyun Sun Requires Authentication Unlicensed Licensed Download PDF	201
9. User awareness in music recommender systems Peter Knees, Markus Schedl, Bruce Ferwerda and Audrey Laplante Requires Authentication Unlicensed Licensed Download PDF	223
10. Personalizing the user interface for people with disabilities Julio Abascal, Olatz Arbelaitz, Xabier Gardeazabal, Javier Muguerza, J. Eduardo Pérez, Xabier Valencia and Ainhoa Yera Requires Authentication Unlicensed Licensed Download PDF	253
11. Adaptive workplace learning assistance Miloš Kravčík Requires Authentication Unlicensed Licensed Download PDF	283
Index Requires Authentication Unlicensed Licensed Download PDF	303

(Deutsch)

Language: English
Publisher: De Gruyter Oldenbourg
Audience: Graduate students, researchers, practitioners
Pages
- Front matter: 14
- Main content: 306
Illustrations
- Illustrations: 10
- Coloured Illustrations: 40
Keywords: Human-Machine-Interaction

eBook

Published: September 23, 2019
ISBN: 9783110552485