Item Features Interact With Item Category in Their Influence on Preferences.

ABSTRACT: Low-level visual features are known to play a role in value-based decision-making. However, most previous studies focused on the role of only a single low-level feature or only for one type of item. These studies also used only one method of measurement and provided a theory accounting for those specific findings. We aimed to utilize a different more robust approach. We tested the contribution of low-level visual features to value-based decision-making of three item types: fractal-art images, faces, and snack food items. We used two techniques to estimate values: subjective ratings and actual choices. We found that low-level visual features contribute to value-based decision-making even after controlling for higher level features relevant for each item category (for faces, features like ey

SUBMITTER: Oren S 

PROVIDER: S-EPMC7391002 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature