33 results on '"Willemsen, Martijn C."'
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2. It Seems Smart, but It Acts Stupid: Development of Trust in AI Advice in a Repeated Legal Decision-Making Task
3. Exploring the longitudinal effects of nudging on users’ music genre exploration behavior and listening preferences
4. Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’22)
5. Improving understandability of feature contributions in model-agnostic explainable AI tools
6. The role of preference consistency, defaults and musical expertise in users’ exploration behavior in a genre exploration recommender
7. Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’21)
8. Using Explanations as Energy-Saving Frames: A User-Centric Recommender Study
9. Interactive Music Genre Exploration with Visualization and Mood Control
10. Interfaces and Human Decision Making for Recommender Systems
11. With a little help from my peers
12. From preference into decision making
13. RecSys '19 joint workshop on interfaces and human decision making for recommender systems
14. Personalized Recommendations for Music Genre Exploration
15. Beyond Behavior
16. Rasch-based tailored goals for nutrition assistance systems
17. Recsys'18 joint workshop on interfaces and human decision making for recommender systems
18. Interpreting user inaction in recommender systems
19. MovieExplorer
20. Benefits and costs of patient generated data, from the clinician's and patient's perspective
21. Behaviorism is Not Enough
22. Lifestyle Recommendations for Hypertension through Rasch-based Feasibility Modeling
23. Improving the User Experience during Cold Start through Choice-Based Preference Elicitation
24. User perception of differences in recommender algorithms
25. Rating support interfaces to improve user experience and recommender accuracy
26. Workshop on human decision making in recommender systems
27. RecSys'12 workshop on human decision making in recommender systems
28. Remembering the stars?
29. Each to his own
30. A pragmatic procedure to support the user-centric evaluation of recommender systems
31. Understanding choice overload in recommender systems
32. The effect of preference elicitation methods on the user experience of a recommender system
33. Understanding the effect of adaptive preference elicitation methods on user satisfaction of a recommender system
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