Cheng Miao, Tseng Chia-Huei, Fujiwara Ken, Higashiyama Shoi, Weng Abby, Kitamura Yoshifumi
Research Institute of Electrical Communication, Tohoku University, Sendai, Japan.
Interdiscipinary ICT Research Center for Cyber and Real Spaces, Tohoku University, Sendai, Japan.
Behav Res Methods. 2024 Dec 10;57(1):10. doi: 10.3758/s13428-024-02558-2.
Most current databases for bodily emotion expression are created in Western countries, resulting in culturally skewed representations. To address the obvious risk this bias poses to academic comprehension, we attempted to expand the current repertoire of human bodily emotions by recruiting Asian professional performers to wear whole-body suits with 57 retroreflective markers attached to major joints and body segments, and express seven basic emotions with whole-body movements in a motion-capture lab. For each emotion, actors performed three self-created scenarios that covered a broad range of real-life events to elicit the target emotion within 2-5 seconds. Subsequently, a separate group of participants was invited to judge the perceived emotional category from the extracted biological motions (point-light displays with 18 or 57 markers). The results demonstrated that the emotion discrimination accuracy was comparable to Western databases containing standardized performance scenarios. The results provide a significant step toward establishing a database using a novel emotional induction approach based on personalized scenarios. This database will contribute to a more comprehensive understanding of emotional expression across diverse contexts.
目前大多数关于身体情绪表达的数据库是在西方国家创建的,这导致了文化上的偏差呈现。为了解决这种偏差给学术理解带来的明显风险,我们试图通过招募亚洲专业表演者来扩展当前人类身体情绪的范畴,这些表演者穿着全身套装,在主要关节和身体部位附着57个反光标记,并在动作捕捉实验室中通过全身动作表达七种基本情绪。对于每种情绪,演员们表演了三个自创场景,涵盖了广泛的现实生活事件,以便在2至5秒内引发目标情绪。随后,邀请另一组参与者从提取的生物动作(带有18个或57个标记的点光显示)中判断感知到的情绪类别。结果表明,情绪辨别准确率与包含标准化表演场景的西方数据库相当。这些结果朝着使用基于个性化场景的新型情绪诱导方法建立数据库迈出了重要一步。该数据库将有助于更全面地理解不同情境下的情绪表达。