Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
The role of transparency in recommender systems
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Information Filtering: Overview of Issues, Research and Systems
User Modeling and User-Adapted Interaction
User Involvement in Automatic Filtering: An Experimental Study
User Modeling and User-Adapted Interaction
Trust building with explanation interfaces
Proceedings of the 11th international conference on Intelligent user interfaces
The effects of transparency on trust in and acceptance of a content-based art recommender
User Modeling and User-Adapted Interaction
Technological research plan for active ageing
Information Systems Frontiers
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This PhD-project investigates interaction with user-adaptive systems. Experiments and user studies are used to explore the factors that lead to trust and acceptance of such systems. This research aims to inform design of transparent user-adaptive and (semi-)autonomous systems. Focus is on interaction with content-based user-adaptive information filters.