CogSci 2025

•

August 01, 2025

•

San Francisco, United States

keywords:

group behaviour

computer science

psychology

machine learning

emotion

Emotions play a crucial role in social interactions, yet little is known about the effects of experiencing emotions together with others on expressed emotional valence and arousal. We compared changes in adults’ body posture when recalling experiences of positive and negative basic emotions (happiness & sadness) and social emotions (pride & shame), either jointly (dyadic condition) or by themselves (individual condition). To capture the dynamic unfolding of the emotional experience, we used a novel depth sensor imaging technique based on LiDAR- technology integrated in a commercial tablet. Adults (N = 80) displayed greater postural chest-height elevation and upper-body chest expansion (measuring valence) following positive compared to negative emotion recalls. Furthermore, participants showed more overall movement (measuring arousal) after positive compared to negative emotions, especially in the dyadic condition. These results suggest that recalling emotions together affects non-verbal expression of emotions, and we discuss our findings in light of recent advances in emotion science.

Downloads

Paper

Next from CogSci 2025

Hierarchical Abstraction Enables Human-Like 3D Object Recognition in Deep Learning Models
poster

Hierarchical Abstraction Enables Human-Like 3D Object Recognition in Deep Learning Models

CogSci 2025

Phil Kellman
Hongjing Lu
Shuhao Fu and 2 other authors

01 August 2025

Similar lecture

Are Emotions Important? a Study on Social Distances for Path Planning Based on Emotions
technical paper

Are Emotions Important? a Study on Social Distances for Path Planning Based on Emotions

IEEE RO-MAN 2024

Vasileios Mizaridis

27 August 2024