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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
  • University of Arizona
  • Boise State University
  • University of California at Santa Barbara

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

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
Pages (from-to)2389-2401
Number of pages13
JournalIEEE Transactions on Affective Computing
Volume14
Issue number3
DOIs
StatePublished - Jul 1 2023

Keywords

  • 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

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