Bänziger Tanja, Grandjean Didier, Scherer Klaus R
Swiss Centre for Affective Sciences, University of Geneva, Geneva, Switzerland.
Emotion. 2009 Oct;9(5):691-704. doi: 10.1037/a0017088.
Emotion recognition ability has been identified as a central component of emotional competence. We describe the development of an instrument that objectively measures this ability on the basis of actor portrayals of dynamic expressions of 10 emotions (2 variants each for 5 emotion families), operationalized as recognition accuracy in 4 presentation modes combining the visual and auditory sense modalities (audio/video, audio only, video only, still picture). Data from a large validation study, including construct validation using related tests (Profile of Nonverbal Sensitivity; Rosenthal, Hall, DiMatteo, Rogers, & Archer, 1979; Japanese and Caucasian Facial Expressions of Emotion; Biehl et al., 1997; Diagnostic Analysis of Nonverbal Accuracy; Nowicki & Duke, 1994; Emotion Recognition Index; Scherer & Scherer, 2008), are reported. The results show the utility of a test designed to measure both coarse and fine-grained emotion differentiation and modality-specific skills. Factor analysis of the data suggests 2 separate abilities, visual and auditory recognition, which seem to be largely independent of personality dispositions.
情绪识别能力已被确认为情绪能力的核心组成部分。我们描述了一种工具的开发，该工具基于演员对10种情绪（5个情绪类别各有2种变体）动态表达的描绘来客观地测量这种能力，在结合视觉和听觉感官模式的4种呈现模式（音频/视频、仅音频、仅视频、静态图片）中以识别准确率来实施。报告了一项大型验证研究的数据，包括使用相关测试进行的结构验证（非言语敏感性剖面图；罗森塔尔、霍尔、迪马特奥、罗杰斯和阿彻，1979年；日本人和高加索人的情绪面部表情；比尔等人，1997年；非言语准确性诊断分析；诺维基和杜克，1994年；情绪识别指数；舍雷尔和舍雷尔，2008年）。结果显示了一种旨在测量粗略和精细情绪区分以及特定模式技能的测试的效用。对数据的因素分析表明存在两种独立的能力，即视觉识别和听觉识别，这两种能力似乎在很大程度上与性格倾向无关。
