4.6 Article

Gaze differences in configural and elemental evaluation during multi-attribute decision-making

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FRONTIERS IN NEUROSCIENCE
卷 17, 期 -, 页码 -

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FRONTIERS MEDIA SA
DOI: 10.3389/fnins.2023.1167095

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neuroeconomics; sequential sampling models; attention; eye-tracking; value

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This study compared the behavioral and gaze pattern differences between elemental and configural evaluation in multi-attribute decision-making. The results showed systematic differences in behavior and gaze patterns between the two conditions during evaluation and decision-making. These findings contribute to a better understanding of the process of multi-attribute decision-making.
IntroductionWhile many everyday choices are between multi-attribute options, how attribute values are integrated to allow such choices remains unclear. Recent findings suggest a distinction between elemental (attribute-by-attribute) and configural (holistic) evaluation of multi-attribute options, with different neural substrates. Here, we asked if there are behavioral or gaze pattern differences between these putatively distinct modes of multi-attribute decision-making.MethodsThirty-nine healthy men and women learned the monetary values of novel multi-attribute pseudo-objects (fribbles) and then made choices between pairs of these objects while eye movements were tracked. Value was associated with individual attributes in the elemental condition, and with unique combinations of attributes in the configural condition. Choice, reaction time, gaze fixation time on options and individual attributes, and within- and between-option gaze transitions were recorded.ResultsThere were systematic behavioral differences between elemental and configural conditions. Elemental trials had longer reaction times and more between-option transitions, while configural trials had more within-option transitions. The effect of last fixation on choice was more pronounced in the configural condition.DiscussionWe observed differences in gaze patterns and the influence of last fixation location on choice in multi-attribute value-based choices depending on how value is associated with those attributes. This adds support for the claim that multi-attribute option values may emerge either elementally or holistically, reminiscent of similar distinctions in multi-attribute object recognition. This may be important to consider in neuroeconomics research that involve visually-presented complex objects.

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