同时识别五大人格与六因素人格，提升多模态性格分析效果
Joint Modeling of Big Five and HEXACO for Multimodal Apparent Personality-trait Recognition
- 联合建模五大人格与六因素人格，挖掘二者关联性
- 在自述视频数据集上实现双模型有效识别
- 适合心理计算、人机交互领域研究者参考
本文提出一种联合建模方法，用于从多模态人类行为中自动识别显性人格特质。主流研究长期聚焦于心理学中的五大人格（Big Five），而近期受关注的六因素人格（HEXACO）尚缺乏在多模态情境下的显性特质识别研究，尤其其包含的真诚-谦逊特质（Honesty-Humility）与移情攻击、报复心等行为相关。此外，机器学习框架下两者之间的关系尚未明确。本研究通过联合优化五大人格与六因素人格的识别，期望提升对多模态人类行为的理解。实验基于自述视频数据集验证了所提方法的有效性，表明该联合模型能同时准确识别两类人格特质。
原文摘要 · Abstract (English)
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.
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