Non-Invasive Measurement of Trust in Group Interactions

Lee A. Spitzley, Xinran Wang, Xunyu Chen, Steven J. Pentland, Jay F. Nunamaker, Judee K. Burgoon, Norah E. Dunbar

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Trust between group members has many implications for how well a group performs. In this study, we predict perceived trustworthiness of group members when there are subversive group members. We collected multimodal verbal and nonverbal data from a group interaction experiment. During the interaction, we periodically surveyed the group members about their perceptions of trustworthiness of other group members. We used this data to model the relationship between observable behavior and perceptions of trustworthiness. We report the most predictive features and describe them in the context of existing literature on verbal and nonverbal correlates of trust. This research advances the study of behavioral measurement in groups and the role of behavior on perceived trustworthiness.

Original languageEnglish (US)
Pages (from-to)2389-2401
Number of pages13
JournalIEEE Transactions on Affective Computing
Issue number3
StatePublished - Jul 1 2023


  • H.3.1.d Linguistic processing
  • L.2.0.u Multimodal systems
  • O.1.1 Nonverbal signals
  • O.1.2.b Speech analysis
  • O.1.2.c Paralanguage analysis
  • O.1.4 Multi-modal recognition
  • O.1.5 Recognition of group emotion

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction


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