Emotion Recognition From Expressions in Face, Voice, and Body: The Multimodal Emotion Recognition Test (MERT)
Emotion Recognition From Expressions in Face, Voice, and Body: The Multimodal Emotion Recognition Test (MERT)
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DOI：
10.1037/a0017088
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发表时间：
2009-10-01
期刊：
影响因子：
4.2
通讯作者：
Scherer, Klaus R.
中科院分区：
文献类型：
--
作者：
Baenziger, Tanja;Grandjean, Didier;Scherer, Klaus R.
情绪识别能力被认为是情绪能力的核心组成部分。我们描述了一种仪器的开发，该仪器基于演员对10种情绪（5种情绪家族各2种变体）的动态表达的描绘，客观地衡量这种能力，并在结合视觉和听觉的4种呈现模式下实现识别准确性感官模式（音频/视频、仅音频、仅视频、静态图片）。报告了来自大型验证研究的数据，包括使用相关测试的结构验证（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 &杜克，1994 Emotion Recognition Index;谢勒&谢勒，2008）。结果表明，实用的测试，旨在衡量粗粒度和细粒度的情感分化和特定于模态的技能。因素分析的数据表明，2个独立的能力，视觉和听觉识别，这似乎是在很大程度上独立的性格倾向。
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.