首页> 外文期刊>Psychological science: a journal of the American Psychological Society >Haptic recognition of static and dynamic expressions of emotion in the live face
【24h】

Haptic recognition of static and dynamic expressions of emotion in the live face

机译:对活动面孔中静态和动态表情的触觉识别

获取原文
获取原文并翻译 | 示例
       

摘要

If humans can detect the wealth of tactile and haptic information potentially available in live facial expressions of emotion (FEEs), they should be capable of haptically recognizing the six universal expressions of emotion (anger, disgust, fear, happiness, sadness, and surprise) at levels well above chance. We tested this hypothesis in the experiments reported here. With minimal training, subjects' overall mean accuracy was 51% for static FEEs (Experiment 1) and 74% for dynamic FEEs (Experiment 2). All FEEs except static fear were successfully recognized above the chance level of 16.7%. Complementing these findings, overall confidence and information transmission were higher for dynamic than for corresponding static faces. Our performance measures (accuracy and confidence ratings, plus response latency in Experiment 2 only) confirmed that happiness, sadness, and surprise were all highly recognizable, and anger, disgust, and fear less so.
机译:如果人类能够检测到生活表情(FEE)的面部表情中潜在的大量触觉和触觉信息,那么他们应该能够在触觉上识别出六种普遍的情绪表达(愤怒,厌恶,恐惧,幸福,悲伤和惊奇)。远高于机会。我们在这里报道的实验中检验了这个假设。通过最少的培训,受试者的总体平均准确率对于静态FEE(实验1)为51%,对于动态FEE(实验2)为74%。除静态恐惧外,所有FEE均在16.7%的机会水平以上被成功识别。作为这些发现的补充,动态的总体置信度和信息传递要比相应的静态面孔高。我们的绩效指标(准确度和置信度等级,以及仅在实验2中的响应潜伏期)证实,幸福,悲伤和惊奇都可以被高度识别,而愤怒,厌恶和恐惧则更少。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号