@inproceedings{9ac1ac8b70b940009225bfc0057ab83a,
title = "Learning and making novel predictions about others' preferences",
abstract = "We often make decisions on behalf of others, such as picking out gifts or making restaurant recommendations. Yet, without direct access to others' preferences, our choices on behalf of others depend on what we think they like. Across two experiments, we examined whether and how accurately people are able to infer others' preferences by observing their choices. Our results suggest that people are capable of making reasonably accurate predictions about what others will choose next, given what they have chosen before. These results lay the groundwork to systematically study how people make novel predictions about others' preferences, and when different strategies might be appropriate.",
keywords = "Theory of Mind, decision-making, preference learning, social cognition",
author = "Natalia V{\'e}lez and Leong, {Yuan Chang} and Chelsey Pan and Jamil Zaki and Hyowon Gweon",
note = "Publisher Copyright: {\textcopyright} 2016 Proceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016. All rights reserved.; 38th Annual Meeting of the Cognitive Science Society: Recognizing and Representing Events, CogSci 2016 ; Conference date: 10-08-2016 Through 13-08-2016",
year = "2016",
language = "English (US)",
series = "Proceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016",
publisher = "The Cognitive Science Society",
pages = "966--971",
editor = "Anna Papafragou and Daniel Grodner and Daniel Mirman and Trueswell, {John C.}",
booktitle = "Proceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016",
}