Personalized Human-Computer Interaction

by Mirjam Augstein (Editor), Eelco Herder (Editor), Wolfgang Wörndl (Editor)

Overview

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.

Product Details

ISBN-13:	9783110999600
Publisher:	De Gruyter
Publication date:	08/07/2023
Series:	De Gruyter Textbook
Edition description:	2nd ed.
Pages:	376
Product dimensions:	6.69(w) x 9.45(h) x (d)
Age Range:	18 Years

About the Author

Mirjam Augstein a Professor for Personalized and Collaborative Systems at the University of Applied Sciences Upper Austria, as well as head of the research group on Personalized Environments and Collaborative Systems (PEEC). Her research interests are rooted in the broader field of HCI, focusing on personalization of interaction processes as well as interaction beyond the individual. Particularly, she investigates how users collaborate in co-located, remote and hybrid settings, how systems can provide support for such collaborations, and how the requirements of individuals and teams can be best met in all phases of design and development.

Mirjam regularly serves on the program committee of a broad range of scientific conferences in the field of HCI, e.g. recently as Hybrid Co-Chair for the ACM CSCW 2023 conference. Further, she was chair of ABIS between 2015 and 2022, and vice chair of the German ACM SIGCHI Chapter between 2019 and 2023.

Eelco Herder works as an Associate Professor in the Interaction Group at Utrecht University, the Netherlands. His research focuses on the fine balance between the benefits of personalization and perceived and actual risks associated with privacy matters. Particularly, he investigates how users and current (commercial) recommender systems respond to one another, and which mechanisms help to encourage users to actively choose what they want instead of passively following suggestions.

Since July 2019, he is Vice Chair of ACM SIGWEB. He is also a board member and information officer of User Modeling Inc. Between 2007 and 2015, he served as the chair of ABIS. Further, he was General Chair for ACM UMAP 2021 and as Program Chair for ACM Hypertext 2021.

Wolfgang Wörndl is a senior researcher and lecturer at the School of Computation, Information and Technology (CIT) at Technische Universitt Mnchen (TUM), Germany, working in the intersection between Human-Computer Interaction (HCI) and Artificial Intelligence (AI). His research focuses on human-centered and interactive recommender systems in mobile scenarios such as travel and tourism. Delivering personalized and timely recommendations is particularly valuable yet challenging in these domains. He currently investigates how humans can interact with these recommender systems, taking item combinations, multi-stakeholder issues and fairness into account.

Wolfgang has published over 100 refereed papers in relevant research areas. He is organizing and program committee member for a large number of journals, conferences and workshops, including co-chairing the ACM RecSys workshop series on Recommenders in Tourism. He served as vice chair for ABIS between 2015 and 2022, among other academic duties.

Table of Contents

Introduction V

List of Contributing Authors XI

Part I Foundations of user modeling

1 Theory-grounded user modeling for personalized HCI Mark P. Graus Bruce Ferwerda 3

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 Heinrich Hussmann 31

Part II User input and feedback

3 Automated personalization of input methods and processes Mirjam Augstein Thomas Neumayr 67

4 How to use socio-emotional signals for adaptive training Tobias Moebert Jan N. Schneider Dietmar Zoerner Anna Tscherejkina Ulrike Lucke 103

5 Explanations and user control in recommender systems Dietmar Jannach Michael Jugovac Ingrid Nunes 133

Part III Personalization approaches

6 Tourist trip recommendations - foundations, state of the art, and challenges Daniel Herzog Linus W. Dietz Wolfgang Wörndl 159

7 Pictures as a tool for matching tourist preferences with destinations Wilfried Grossmann Mete Sertkan Julia Neidhardt Hannes Werthner 183

8 Towards personalized virtual reality touring through cross-object user interfaces Xiangdong Li Yunzhan Zhou Wenqian Chen Preben Hansen Weidong Geng Lingyun Sun 201

9 User awareness in music recommender systems Peter Knees Markus Schedl Bruce Ferwerda Audrey Laplante 223

10 Personalizing the user interface for people with disabilities Julio Abascal Olatz Arbelaitz Xabier Gardeazabal Javier Muguerza J. Eduardo Pérez Xabier Valencia Ainhoa Year 253

11 Adaptive workplace learning assistance Milos Kravcik 283

Index 303