UC Davis

People have ideas about the attributes (i.e., traits or characteristics that vary along a dimension) that they like in others (e.g., “I like intelligence in a romantic partner”), and these ideas about liking are called summarized attribute preferences (Ledgerwood et al., 2018). But where do summarized preferences come from, and what do they predict? Across four studies, we examined how people form summarized attribute preferences and whether they predict situation selection. We showed participants a series of photographs of faces and assessed both their experienced liking for an attribute (or functional attribute preference) as well as their inference about how much they liked the attribute in the abstract (their summarized attribute preference). Our results suggest that summarized attribute preferences—despite being (weakly) grounded in functional attribute preferences—were affected by incidental aspects of the context in which people learn about them (i.e., the overall likeability of the pool of faces). Furthermore, we observed a double dissociation in the predictive validity of summarized and functional attribute preferences: Whereas summarized attribute preferences predicted situation selection at a distance (e.g., whether to join a new dating website based on a description of it), functional attribute preferences predicted situation selection with experience (e.g., whether to join a new dating website after sampling it). We discuss theoretical and methodological implications for the interdisciplinary science of human evaluation.