What question did this study set out to answer?

The aim is to explore how labeling influences aesthetic judgments of AI-generated versus human-created art using eye-tracking and self-reports.

When Labels Matter More: Behavioral and Eye-Tracking Evidence on Aesthetic Judgment of AI-Generated and Human-Created Paintings by Lay Viewers

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Experiments show how labeling affects aesthetic judgments in lay viewers, suggesting the need for transparency.

The aim is to explore how labeling influences aesthetic judgments of AI-generated versus human-created art using eye-tracking and self-reports.
Conducted three studies incorporating eye-tracking technology
Measured fixation duration and gaze patterns while participants viewed different artworks
Analyzed both self-report data and eye-tracking data to assess aesthetic preferences
Participants preferred artworks labeled as human-created even when unable to distinguish actual sources
Eye-tracking revealed dispersed gaze patterns for AI-labeled artworks
Findings indicate biases based on labeling rather than the artwork's quality

Wang et al. (2026) studied this question.

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