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
A POMDP formulation of preference elicitation problems
Eighteenth national conference on Artificial intelligence
International Journal of Human-Computer Studies
IHC '06 Proceedings of VII Brazilian symposium on Human factors in computing systems
Real time labeling of affect in music using the affectbutton
Proceedings of the 3rd international workshop on Affective interaction in natural environments
User Modeling and User-Adapted Interaction
AffectButton: A method for reliable and valid affective self-report
International Journal of Human-Computer Studies
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Motivation -- Elicitation of preferences is crucial in negotiation support. This is a non-trivial task which could be supported by computers. Research approach -- Experiment in which 32 participants have to order holidays using different preference elicitation techniques including a navigational task and affective scoring. The results were used as input for a lexicographic ordering algorithm. Findings/design -- Traditional property rating approach seems most preferred by the participants and resulted in one of the best orderings of the outcomes space to match their preferences, at least when using the lexicographic algorithm. Originality/value -- The elicitation process is approached from an algorithmic perspective as well as from a user-centred perspective for both navigation and affective attitude. Take away message -- A multi-angle approach gives a richer understanding of the process of preference elicitation.