大五人格与HEXACO的联合建模用于多模态外显人格特质识别
Joint Modeling of Big Five and HEXACO for Multimodal Apparent Personality-trait Recognition
AI总结：
本文提出联合建模大五人格与HEXACO的多模态外显人格特质识别方法，通过联合优化提升识别效果，并在自我介绍视频数据集上验证了有效性。
摘要：
本文提出了一种联合建模方法，将长期研究的大五人格（Big Five）与近期在心理学领域受到关注的HEXACO模型相结合，用于从多模态人类行为中自动识别外显人格特质。以往大多数研究使用大五人格进行多模态外显人格特质识别，但尚无研究关注外显HEXACO，该模型能够评估与替代性攻击、报复心理、社会支配倾向等相关的诚实-谦逊特质。此外，机器学习建模时大五人格与HEXACO之间的关系尚未明确。我们期望通过考虑这些关系来提升对多模态人类行为的认知。我们提出的方法的关键进展在于联合优化大五人格与HEXACO的识别。使用自我介绍视频数据集的实验表明，所提方法能够有效识别大五人格与HEXACO。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
