Investigating Role of Big Five Personality Traits in Audio-Visual Rapport Estimation

TL;DR

This study explores how Big Five personality traits enhance audio-visual rapport estimation between friends by analyzing nonverbal cues and decomposing rapport into perceiver, target, and relationship effects.

Contribution

It demonstrates that incorporating Big Five features improves rapport estimation and clarifies how these traits influence perception effects in social interactions.

Findings

Adding BFFs improves rapport estimation accuracy.

BFFs capture perceiver and target effects.

Facial features combined with BFFs yield best performance.

Abstract

Automatic rapport estimation in social interactions is a central component of affective computing. Recent reports have shown that the estimation performance of rapport in initial interactions can be improved by using the participant's personality traits as the model's input. In this study, we investigate whether this findings applies to interactions between friends by developing rapport estimation models that utilize nonverbal cues (audio and facial expressions) as inputs. Our experimental results show that adding Big Five features (BFFs) to nonverbal features can improve the estimation performance of self-reported rapport in dyadic interactions between friends. Next, we demystify how BFFs improve the estimation performance of rapport through a comparative analysis between models with and without BFFs. We decompose rapport ratings into perceiver effects (people's tendency to rate other people), target effects (people's tendency to be rated by other people), and relationship effects (people's unique ratings for a specific person) using the social relations model. We then analyze the extent to which BFFs contribute to capturing each effect. Our analysis demonstrates that the perceiver's and the target's BFFs lead estimation models to capture the perceiver and the target effects, respectively. Furthermore, our experimental results indicate that the combinations of facial expression features and BFFs achieve best estimation performances not only in estimating rapport ratings, but also in estimating three effects. Our study is the first step toward understanding why personality-aware estimation models of interpersonal perception accomplish high estimation performance.