Heatmaps: A Tool for Studying Book Selection Preferences on Discovery Platforms

Abstract

This study evaluates the usefulness of heatmaps in understanding user preferences during book selection in online discovery platforms. It compares two heatmaps generated from user clicks and eye‐tracking data to identify key metadata influencing readers' choices. Initial results indicate that click heatmaps can be a useful tool for this type of investigation, especially considering the cost of eye‐tracking, which is typically used to generate attention heatmaps.