Prof. Dr.-Ing. Jürgen Ziegler

Jürgen Ziegler is a full professor in the Department of Computer Science and Applied Cognitive Science at the University of Duisburg-Essen where he directs the Interactive Systems Research Group. Prior to joining the University, he was head of the Competence Center for Software Technology and Interactive Systems at the Fraunhofer Institute for Industrial Engineering in Stuttgart.

Jürgen Ziegler holds a diploma degree in electrical engineering and biocybernetics from the University of Karlsruhe and a doctoral degree from the University of Stuttgart. His main research interests lie in the areas of human-computer interaction, information visualisation and context-adaptive systems. Current projects of his group focus on context-aware recommender systems, visual interfaces for Semantic Web data, playful social interaction, and adaptive driver assistance in cars.

i-com

Jürgen Ziegler is editor in chief of the German HCI journal i-com: Zeitschrift für interaktive und kooperative Medien. Find out more on the scope of the journal.

Contact

Mail
Phone +49 (203) 379-2270
Fax +49 (203) 379-3557
Office LF 291
LSF view

Selected publications

Mensch-Computer-Interaktion als zentrales Gebiet der Informatik: Bestandsaufnahme, Trends und Herausforderungen

Empfehlungssysteme

Mobile mood tracking: An investigation of concise and adaptive measurement instruments

In-Store Augmented Reality-Enabled Product Comparison and Recommendation

Featuristic: An interactive hybrid system for generating explainable recommendations – Beyond system accuracy

Exploring chatbot user interfaces for mood measurement: A study of validity and user experience

Exploring Mental Models for Transparent and Controllable Recommender Systems: A Qualitative Study

On the Use of Feature-based Collaborative Explanations: An Empirical Comparison of Explanation Styles

Effects of Argumentative Explanation Types on the Perception of Review-Based Recommendations

Argumentative explanations for recommendations - Effect of display style and profile transparency

Explaining Recommendations by Means of Aspect-Based Transparent Memories

Measuring the Impact of Recommender Systems – A Position Paper on Item Consumption in User Studies

All 240 publication