Role of motion signals in recognizing subtle facial expressions of emotion

被引:71
|
作者
Bould, Emma [1 ]
Morris, Neil [2 ]
机构
[1] Univ Lancaster, Dept Psychol, Lancaster LA1 4YF, England
[2] Wolverhampton Univ, Wolverhampton, England
关键词
D O I
10.1348/000712607X206702
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Three studies investigated the importance of movement for the recognition of subtle and intense expressions of emotion. In the first experiment, 36 facial emotion displays were duplicated in three conditions either upright or inverted in orientation. A dynamic condition addressed the perception of motion by using four still frames run together to encapsulate a moving sequence to show the expression emerging from neutral to the subtle emotion. The multi-static condition contained the same four stills presented in succession, but with a visual noise mask (200 ms) between each frame to disrupt the apparent motion, whilst in the single-static condition, only the last still image (subtle expression) was presented. Results showed a significant advantage for the dynamic condition, over the single- and multi-static conditions, suggesting that motion signals provide a more accurate and robust mental representation of the expression. A second experiment demonstrated that the advantage of movement was reduced with expressions of a higher intensity, and the results of the third experiment showed that the advantage for the dynamic condition for recognizing subtle emotions was due to the motion signal rather than additional static information contained in the sequence. It is concluded that motion signals associated with the emergence of facial expressions can be a useful cue in the recognition process, especially when the expressions are subtle.
引用
收藏
页码:167 / 189
页数:23
相关论文
共 50 条
  • [21] The role of motion and intensity in deaf children's recognition of real human facial expressions of emotion
    Jones, Anna C.
    Gutierrez, Roberto
    Ludlow, Amanda K.
    COGNITION & EMOTION, 2018, 32 (01) : 102 - 115
  • [22] THE GENETIC NATURE OF FACIAL EXPRESSIONS OF EMOTION AND THE ABILITY OF DELINQUENTS AND STUDENTS IN RECOGNIZING AFFECT THROUGH FACIAL CUES
    TYRRELL, J
    BULLETIN OF THE BRITISH PSYCHOLOGICAL SOCIETY, 1982, 35 (FEB): : 73 - 73
  • [23] Recognizing facial expressions with a neural network
    Lisetti, CL
    Rumelhart, DE
    PROCEEDINGS OF THE NINETEENTH ANNUAL CONFERENCE OF THE COGNITIVE SCIENCE SOCIETY, 1997, : 1100 - 1100
  • [24] Recognizing facial expressions using eigenspaces
    Murthy, G. R. S.
    Jadon, R. S.
    ICCIMA 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, VOL III, PROCEEDINGS, 2007, : 201 - 207
  • [25] Recognizing facial expressions at low resolution
    Shan, CF
    Gong, SG
    McOwan, PW
    AVSS 2005: ADVANCED VIDEO AND SIGNAL BASED SURVEILLANCE, PROCEEDINGS, 2005, : 330 - 335
  • [26] UNIVERSAL FACIAL EXPRESSIONS IN EMOTION
    EKMAN, P
    STUDIA PSYCHOLOGICA, 1973, 15 (02) : 140 - 147
  • [27] UNIVERSAL FACIAL EXPRESSIONS IN EMOTION
    EKMAN, P
    STUDIA PSYCHOLOGICA, 1971, 13 (02) : 155 - 155
  • [28] Culture and facial expressions of emotion
    Jack, Rachael E.
    VISUAL COGNITION, 2013, 21 (9-10) : 1248 - 1286
  • [29] ADAPTATION TO FACIAL EXPRESSIONS OF EMOTION
    PRKACHIN, GC
    PRKACHIN, KM
    COGNITION & EMOTION, 1994, 8 (01) : 55 - 64
  • [30] THE RECOGNITION OF FACIAL EXPRESSIONS OF EMOTION
    Jenness, Arthur
    PSYCHOLOGICAL BULLETIN, 1932, 29 (05) : 324 - 350