大五人格与HEXACO联合建模的多模态外显人格特质识别 (Joint Modeling of Big Five and HEXACO for Multimodal Apparent Personality-trait Recognition)

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.

翻译：本文针对从多模态人类行为中自动识别外显人格特质的问题，提出了一种联合建模长期受关注的大五人格模型与近期心理学界新兴的HEXACO人格模型的方法。现有研究多采用大五人格模型进行多模态外显人格特质识别，然而尚未有研究关注能够评估与替代性攻击、报复倾向及社会支配取向等相关的诚实-谦逊特质的HEXACO外显人格模型。此外，通过机器学习建模时大五人格与HEXACO模型间的关联机制尚未明确。我们期望通过探究这些关联机制提升对多模态人类行为的认知理解。本方法的核心创新在于通过联合优化实现对大五人格与HEXACO的同步识别。基于自我介绍视频数据集的实验表明，所提方法能有效识别大五人格与HEXACO人格特质。