• DocumentCode
    1526146
  • Title

    Estimating Cohesion in Small Groups Using Audio-Visual Nonverbal Behavior

  • Author

    Hung, Hayley ; Gatica-Perez, Daniel

  • Author_Institution
    Univ. of Amsterdam, Amsterdam, Netherlands
  • Volume
    12
  • Issue
    6
  • fYear
    2010
  • Firstpage
    563
  • Lastpage
    575
  • Abstract
    Cohesiveness in teams is an essential part of ensuring the smooth running of task-oriented groups. Research in social psychology and management has shown that good cohesion in groups can be correlated with team effectiveness or productivity, so automatically estimating group cohesion for team training can be a useful tool. This paper addresses the problem of analyzing group behavior within the context of cohesion. Four hours of audio-visual group meeting data were used for collecting annotations on the cohesiveness of four-participant teams. We propose a series of audio and video features, which are inspired by findings in the social sciences literature. Our study is validated on a set of 61 2-min meeting segments which showed high agreement amongst human annotators when asked to identify meetings that have high or low cohesion.
  • Keywords
    audio signal processing; behavioural sciences computing; psychology; video signal processing; audio features; audio visual group meeting data; audio visual nonverbal behavior; cohesiveness; group behavior analysis; group cohesion estimation; social psychology; social sciences literature; task oriented groups; team effectiveness; team training; video features; Fellows; Gold; Humans; Management training; Minutes; Performance gain; Permission; Productivity; Psychology; Cohesion estimation; industrial psychology; meetings; nonverbal communication;
  • fLanguage
    English
  • Journal_Title
    Multimedia, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1520-9210
  • Type

    jour

  • DOI
    10.1109/TMM.2010.2055233
  • Filename
    5497164