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

被引:38
|
作者
Lederman, S. J. [1 ]
Klatzky, R. L.
Abramowicz, A.
Salsman, K.
Kitada, R.
Hamilton, C.
机构
[1] Queens Univ, Kingston, ON K7L 3N6, Canada
[2] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA
基金
加拿大自然科学与工程研究理事会;
关键词
D O I
10.1111/j.1467-9280.2007.01866.x
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
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.
引用
收藏
页码:158 / 164
页数:7
相关论文
共 50 条
  • [31] Multimodal emotion expressions of virtual agents Mimic and vocal emotion expressions and their effects on emotion recognition
    Liebold, Benny
    Ohler, Peter
    2013 HUMAINE ASSOCIATION CONFERENCE ON AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION (ACII), 2013, : 405 - 410
  • [32] Functional MRI of haptic face recognition
    Kilgour, AR
    Servos, P
    James, TW
    Lederman, SJ
    BRAIN AND COGNITION, 2004, 54 (02) : 159 - 161
  • [33] Automatic Emotion Recognition in the Wild using an Ensemble of Static and Dynamic Representations
    Ghazi, Mostafa Mehdipour
    Ekenel, Hazim Kemal
    ICMI'16: PROCEEDINGS OF THE 18TH ACM INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, 2016, : 514 - 521
  • [34] STATIC AND DYNAMIC SPONTANEOUS FACIAL EXPRESSIONS OF EMOTION - COMPARISON OF CATEGORICAL AND DIMENSIONAL JUDGMENT STUDIES
    LEMAY, G
    KIROUAC, G
    LACOUTURE, Y
    CANADIAN JOURNAL OF BEHAVIOURAL SCIENCE-REVUE CANADIENNE DES SCIENCES DU COMPORTEMENT, 1995, 27 (02): : 125 - 139
  • [35] Emotion recognition using facial expressions
    Tarnowski, Pawel
    Kolodziej, Marcin
    Majkowski, Andrzej
    Rak, Remigiusz J.
    INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE (ICCS 2017), 2017, 108 : 1175 - 1184
  • [36] Perception and recognition of the facial expressions of emotion
    Tcherkassof, A
    SOCIAL SCIENCE INFORMATION SUR LES SCIENCES SOCIALES, 1997, 36 (04): : 667 - 730
  • [37] Comparing static and dynamic emotion recognition tests: Performance of healthy participants
    Khosdelazad, Sara
    Jorna, Lieke S.
    McDonald, Skye
    Rakers, Sandra E.
    Huitema, Rients B.
    Buunk, Anne M.
    Spikman, Jacoba M.
    PLOS ONE, 2020, 15 (10):
  • [38] Cognitive model - Based emotion recognition from facial expressions for live human computer interaction
    Bindu, Maringanti Hima
    Gupta, Priya
    Tiwary, U. S.
    2007 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN IMAGE AND SIGNAL PROCESSING, 2007, : 351 - 356
  • [39] Emotion Recognition via Facial Expressions
    Amara, Kahina
    Ramzan, Naeem
    Achour, Nouara
    Belhocine, Mahmoud
    Larbas, Cherif
    Zenati, Nadia
    2018 IEEE/ACS 15TH INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA), 2018,
  • [40] Recognition of facial expressions of emotion in Chinese
    Leung, JP
    INTERNATIONAL JOURNAL OF PSYCHOLOGY, 1996, 31 (3-4) : 45440 - 45440