Joint Modeling of Big Five and HEXACO for Multimodal Apparent Personality-trait Recognition

TL;DR

The paper addresses automatic recognition of observer-perceived HEXACO and Big Five traits from multimodal behavior by proposing a joint modeling framework based on a multimodal transformer that jointly estimates $\hat{\bm{y}}$ (Big Five) and $\hat{\bm{z}}$ (HEXACO) from $(\bm{S},\bm{U})$, optionally using text $\bm{W}$ from ASR. It introduces a newly annotated self-introduction video dataset with 10,100 videos and labels for both trait sets, and demonstrates that the joint model improves recognition performance over single-task baselines. The contributions include (1) first integration of HEXACO in multimodal apparent personality recognition, (2) a joint modeling architecture that exploits inter-trait relationships, and (3) a large-scale annotated dataset enabling robust evaluation. The findings suggest that incorporating HEXACO and cross-trait relationships can enhance robustness and approach human-level interpretation of apparent personality in real-world multimodal data.

Abstract

This paper proposes a joint modeling method of the Big Five, which has long been studied, and HEXACO, which has recently attracted attention in psychology, for automatically recognizing apparent personality traits from multimodal human behavior. Most previous studies have used the Big Five for multimodal apparent personality-trait recognition. However, no study has focused on apparent HEXACO which can evaluate an Honesty-Humility trait related to displaced aggression and vengefulness, social-dominance orientation, etc. In addition, the relationships between the Big Five and HEXACO when modeled by machine learning have not been clarified. We expect awareness of multimodal human behavior to improve by considering these relationships. The key advance of our proposed method is to optimize jointly recognizing the Big Five and HEXACO. Experiments using a self-introduction video dataset demonstrate that the proposed method can effectively recognize the Big Five and HEXACO.

Figures (3)

• Figure 1: The histograms of the annotated Big Five
• Figure 2: The histograms of the annotated HEXACO
• Figure 3: Joint modeling of Big Five and HEXACO with multimodal transformer