一个对自然主义表情面孔的数据库,用于研究高兴奋状态
Christopher B Buckland1, Jessica Taubert1
1School of Psychology, The University of Queensland, Brisbane 4072, Queensland, Australia.
The journal of pain
|November 8, 2024
概括
研究人员创建了一个自然主义面部表情数据库,以研究疼痛识别. 伤害相关的表达方式与胜利或失败不同,即使高兴度也很高.
科学领域:
- 认知心理学 认知心理学
- 社会心理学 社会心理学
- 情感神经科学是一种神经科学.
背景情况:
- 现有的面部表情研究经常使用人工刺激.
- 在认知研究中需要自然化的面部表情.
- 面部暗示对于识别情绪,特别是疼痛至关重要.
研究的目的:
- 创建和验证一个大数据集的自然主义面部表情.
- 在各种背景下研究从面部行为中识别疼痛.
- 为了确定高兴度是否会影响疼痛表达的独特性.
主要方法:
- 从公共领域中挑选出315个高度表现力的面孔.
- 将面孔分类为受伤,损失和胜利相关的背景.
- 六个行为评分任务来评估兴奋,价值,疼痛,吸引力,熟悉性和性别.
主要成果:
- 与受伤相关的表达方式在情感价值方面被评为低于与胜利相关的表达方式.
- 与受伤相关的表达方式显示出比与损失或胜利相关的表达方式更高的心理兴奋.
- 在竞争情况下的强烈表达不是由于兴奋而模糊的.
结论:
- 自然主义的面部表情是研究非语言行为的有效刺激.
- 野生面孔数据库 - 高兴奋状态 (WFD-HAS) 是一个宝贵的资源.
- 疼痛和受伤的表达是从视觉上区分开来的损失或胜利的表达,即使在高兴度下.
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