A machine learning approach to primacy-peak-recency effect-based satisfaction prediction

Ping Wang, Hanqin Yang, Jingrui Hou, Qiao Li

Abstract: Highlights•This study proposes the primacy-peak-recency effect of cognitive experiences on satisfaction.•Eye movement primacy-peak-recency cubes were constructed to examine this effect.•Ensemble machine learning framework was employed to analyze eye-movement data for testing cubes.•Cognitive processes at primacy, peak, and recency moments are predictors of overall satisfaction.•Influential moments and cognitive processes have additive effects on overall satisfaction.