Preattentive processing of audio-visual emotional signals

被引:47
|
作者
Foecker, Julia [1 ,2 ]
Gondan, Matthias [3 ,4 ]
Roeder, Brigitte [2 ]
机构
[1] Univ Rochester, Rochester, NY 14627 USA
[2] Univ Hamburg, D-20146 Hamburg, Germany
[3] Univ Regensburg, Dept Psychol, D-93050 Regensburg, Germany
[4] Heidelberg Univ, Inst Med Biometry & Informat, D-69120 Heidelberg, Germany
关键词
Multisensory; Emotion; Facial expression; Vocal expression; Response conflict; Attention; FACIAL EXPRESSIONS; MULTISENSORY INTEGRATION; INFLUENCE RECOGNITION; COMBINED PERCEPTION; HUMAN BRAIN; TIME-COURSE; VOICE; FACE; ATTENTION; DISCRIMINATION;
D O I
10.1016/j.actpsy.2011.02.004
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Previous research has shown that redundant information in faces and voices leads to faster emotional categorization compared to incongruent emotional information even when attending to only one modality. The aim of the present study was to test whether these crossmodal effects are predominantly due to a response conflict rather than interference at earlier, e.g. perceptual processing stages. In Experiment 1, participants had to categorize the valence and rate the intensity of happy, sad, angry and neutral unimodal or bimodal face-voice stimuli. They were asked to rate either the facial or vocal expression and ignore the emotion expressed in the other modality. Participants responded faster and more precisely to emotionally congruent compared to incongruent face-voice pairs in both the Attend Face and in the Attend Voice condition. Moreover, when attending to faces, emotionally congruent bimodal stimuli were more efficiently processed than unimodal visual stimuli. To study the role of a possible response conflict. Experiment 2 used a modified paradigm in which emotional and response conflicts were disentangled. Incongruency effects were significant even in the absence of response conflicts. The results suggest that emotional signals available through different sensory channels are automatically combined prior to response selection. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:36 / 47
页数:12
相关论文
共 50 条
  • [1] A Turkish Audio-Visual Emotional Database
    Onder, Onur
    Zhalehpour, Sara
    Erdem, Cigdem Eroglu
    2013 21ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2013,
  • [2] Incongruence Detection in Audio-Visual Processing
    Havlena, Michal
    Heller, Jan
    Kayser, Hendrik
    Bach, Joerg-Hendrik
    Anemueller, Joern
    Pajdla, Tomas
    DETECTION AND IDENTIFICATION OF RARE AUDIOVISUAL CUES, 2012, 384 : 67 - +
  • [3] Audio-visual speech processing and attention
    Sams, M
    PSYCHOPHYSIOLOGY, 2003, 40 : S5 - S6
  • [4] Audio-visual integration of emotional cues in song
    Thompson, William Forde
    Russo, Frank A.
    Quinto, Lena
    COGNITION & EMOTION, 2008, 22 (08) : 1457 - 1470
  • [5] The redundant-signals paradigm and preattentive visual processing
    Zehetleitner, Michael
    Muller, Hermann Josef
    Krummenacher, Joseph
    FRONTIERS IN BIOSCIENCE-LANDMARK, 2008, 13 : 5279 - 5293
  • [6] Indexing audio-visual sequences by joint audio and video processing
    Saraceno, C
    Leonardi, R
    VSMM98: FUTUREFUSION - APPLICATION REALITIES FOR THE VIRTUAL AGE, VOLS 1 AND 2, 1998, : 686 - 691
  • [7] Somatosensory contribution to audio-visual speech processing
    Ito, Takayuki
    Ohashi, Hiroki
    Gracco, Vincent L.
    CORTEX, 2021, 143 : 195 - 204
  • [8] Some experiments in audio-visual speech processing
    Chollet, G.
    Landais, R.
    Hueber, T.
    Bredin, H.
    Mokbel, C.
    Perrot, P.
    Zouari, L.
    ADVANCES IN NONLINEAR SPEECH PROCESSING, 2007, 4885 : 28 - +
  • [9] AUDIO-VISUAL SPEECH PROCESSING IN OLDER ADULTS
    Burke, K. E.
    Maguinness, C. T.
    Setti, A.
    Kenny, R. A.
    Newell, F. N.
    IRISH JOURNAL OF MEDICAL SCIENCE, 2010, 179 : S124 - S124
  • [10] Audio-visual graphical models for speech processing
    Hershey, J
    Attias, H
    Jojic, N
    Kristjansson, T
    2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL V, PROCEEDINGS: DESIGN AND IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS INDUSTRY TECHNOLOGY TRACKS MACHINE LEARNING FOR SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING SIGNAL PROCESSING FOR EDUCATION, 2004, : 649 - 652