School of Psychology, University of Glasgow, 58 Hillhead Street, G12 8QB, UK.
Institute of Neuroscience & Psychology, University of Glasgow, 58 Hillhead Street, G12 8QB, UK; School of Psychology, University of Glasgow, 58 Hillhead Street, G12 8QB, UK.
Curr Opin Psychol. 2017 Oct;17:61-66. doi: 10.1016/j.copsyc.2017.06.010. Epub 2017 Jun 22.
Understanding the cultural commonalities and specificities of facial expressions of emotion remains a central goal of Psychology. However, recent progress has been stayed by dichotomous debates (e.g. nature versus nurture) that have created silos of empirical and theoretical knowledge. Now, an emerging interdisciplinary scientific culture is broadening the focus of research to provide a more unified and refined account of facial expressions within and across cultures. Specifically, data-driven approaches allow a wider, more objective exploration of face movement patterns that provide detailed information ontologies of their cultural commonalities and specificities. Similarly, a wider exploration of the social messages perceived from face movements diversifies knowledge of their functional roles (e.g. the 'fear' face used as a threat display). Together, these new approaches promise to diversify, deepen, and refine knowledge of facial expressions, and deliver the next major milestones for a functional theory of human social communication that is transferable to social robotics.
理解情绪面部表情的文化共性和特殊性仍然是心理学的核心目标。然而,最近的进展受到了二分法辩论(例如,先天与后天)的阻碍,这些辩论造成了实证和理论知识的孤立。现在,一种新兴的跨学科科学文化正在拓宽研究的重点,以提供更统一和精细的跨文化面部表情描述。具体来说,基于数据的方法允许更广泛、更客观地探索面部运动模式,从而提供有关其文化共性和特殊性的详细信息本体论。同样,更广泛地探索从面部运动中感知到的社会信息,也丰富了对其功能角色的认识(例如,作为威胁表现的“恐惧”面孔)。总之,这些新方法有望使对面部表情的认识多样化、深化和精细化,并为可应用于社交机器人的人类社交沟通的功能理论带来下一个重要里程碑。