PICTIVE—an exploration in participatory design
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Intelligent profiling by example
Proceedings of the 6th international conference on Intelligent user interfaces
Getting to know you: learning new user preferences in recommender systems
Proceedings of the 7th international conference on Intelligent user interfaces
The role of transparency in recommender systems
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Personal choice point: helping users visualize what it means to buy a BMW
Proceedings of the 8th international conference on Intelligent user interfaces
Goal-Based Construction of Preferences: Task Goals and the Prominence Effect
Management Science
Designing example-critiquing interaction
Proceedings of the 9th international conference on Intelligent user interfaces
ValueCharts: analyzing linear models expressing preferences and evaluations
Proceedings of the working conference on Advanced visual interfaces
Human-Computer Interaction (3rd Edition)
Human-Computer Interaction (3rd Edition)
Trust-inspiring explanation interfaces for recommender systems
Knowledge-Based Systems
The design of natural interaction
Multimedia Tools and Applications
Encountering others: reciprocal openings in participatory design and user-centered design
Human-Computer Interaction
Towards compositional design and evaluation of preference elicitation interfaces
HCD'11 Proceedings of the 2nd international conference on Human centered design
User Modeling and User-Adapted Interaction
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A crucial aspect for the success of systems that provide decision or negotiation support is a good model of their user's preferences. Psychology research has shown that people often do not have well-defined preferences. Instead they construct them during the elicitation process. This implies that the interaction between the system and a user can greatly influence the quality of the preference information and the user's acceptance of the results provided by the system. In this paper we describe a user-centered approach to design preference elicitation interfaces. First, we extracted a number of criteria for successful design of preferences elicitation interfaces from literature and current systems designs. Second we constructed four new intermediate designs that are compositional with respect to different criteria and, furthermore correspond to different thinking styles of the user. Last, we offer first insights from an initial formative evaluation of our designs.