News release
From:
Identifying and Manipulating Gait Patterns That Influence Emotion Recognition
This study aimed to identify and manipulate movement patterns in gait that influence emotion recognition by combining emotion judgments with kinematic decomposition. In Experiment 1, point-light videos generated from motion-capture data were used in an emotion recognition task. Principal component analysis was applied to extract coordinated movement patterns, and their relationships with perceived emotions were examined. In Experiment 2, one principal component that systematically varied with emotion was manipulated to create stimuli resembling angry, sad, and fearful gaits. Participants’ emotion judgments shifted significantly in the predicted direction, suggesting that specific movement patterns can independently and causally influence emotion recognition.