My da|ra Login

Detailed view

metadata language: German

Automatic Facial Coding Versus Electromyography of Mimicked, Passive and Inhibited Facial Response to Emotional Faces.

Version
1
Resource Type
Dataset
Creator
  • Höfling, Tim
Publication Date
2019-12
Description
  • Abstract

    Decoding someone’s facial expressions can provide insights into their emotional experience. Recently, Automatic Facial Coding software was developed to provide continuous measurement of emotional facial expressions. Previous studies documented the sensitivity of a state-of-the-art system (Facereader [FR], Noldus Information Technology); it has detected facial responses in people who passively viewed emotional scenes. In the present experiment, we set out to generalize these results to affective responses under socially relevant intentions. Thus, we presented participants with pictures of facial expressions and instructed them to control their emotional expressions. Healthy participants (N = 64) viewed pictures with happy, neutral, or angry expressions. In a between subjects design, they were either instructed to actively mimic the expression, or to look at the picture passively, or to actively inhibit their own facial reaction. A video stream (FR) and EMG (zygomaticus and corrugator) were registered continuously. In the mimicking condition, both FR and EMG differentiated well between all emotions. In the passive viewing and in the inhibition condition FR did not detect changes in facial expressions whereas EMG was highly sensitive, even when participants intended to conceal their emotional responses. These data extend previous findings that automatic facial coding is a promising new tool for the detection of intense emotional expressions, but is not yet sensitive enough to detect more subtle reactions.

Data and File Information
  • Unit Type: Other
    Number of Units: 1
    • File Name: KDEFF_FR.sav
      File Format: application/octet-stream
      File Size: 209679
      Data Fingerprint: e5671f12cfa545fa74ff9504646cf1b8
      Method Fingerprint: MD5
  • Unit Type: Other
    Number of Units: 1
    • File Name: KDEF_EMG.sav
      File Format: application/octet-stream
      File Size: 515261
      Data Fingerprint: 64f35e650cdd0d4d64a238c22c1bab17
      Method Fingerprint: MD5
  • Unit Type: Other
    Number of Units: 1
    • File Name: KDEF_Questionnaires.sav
      File Format: application/octet-stream
      File Size: 39131
      Data Fingerprint: bea9500d9cf4b7a4683a0ba844889505
      Method Fingerprint: MD5
  • Unit Type: Other
    Number of Units: 1
    • File Name: KDEF_Ratings.sav
      File Format: application/octet-stream
      File Size: 110352
      Data Fingerprint: be4e7b1a7b6a59d988dd0e88c3746b81
      Method Fingerprint: MD5
  • Unit Type: Other
    Number of Units: 1
    • File Name: Read me.txt
      File Format: text/plain
      File Size: 3389
      Data Fingerprint: d6c61a88a503f32db37a8d6cf1c77256
      Method Fingerprint: MD5
Availability
Delivery

Update Metadata: 2020-01-27 | Issue Number: 1 | Registration Date: 2020-01-27

Höfling, Tim (2019): Automatic Facial Coding Versus Electromyography of Mimicked, Passive and Inhibited Facial Response to Emotional Faces.. Version: 1. Universitätsbibliothek Mannheim. Dataset. https://doi.org/10.7801/320