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Journal of Behavioral Decision Making
Article . 2015 . Peer-reviewed
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Eye‐tracking Social Preferences

Authors: Jiang, Ting; Potters, Jan; Funaki, Yukihiko;

Eye‐tracking Social Preferences

Abstract

AbstractWe hypothesize that if people are motivated by a particular social preference, then choosing in accordance with this preference will lead to an identifiable pattern of eye movements. We track eye movements while subjects make choices in simple three‐person distribution experiments. We characterize each choice in terms of three different types of social preferences: efficiency, maxi‐min, and envy. For the characterization, we use either the choice data or the eye movement data. The evidence indicates that distributional choices are broadly consistent with the choice rule implied by eye movements. In other words, what subjects appear to be interested in when you look at their choices corresponds to what they appear to be interested in when you look at their eye movements. This correspondence lends credibility to the behavioral relevance of social preferences models. Copyright © 2015 John Wiley & Sons, Ltd.

Country
Netherlands
Keywords

experiments, eye tracking, information processing, social preferences

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
45
Top 10%
Top 10%
Average
hybrid