Non-Invasive Measurement of Trust in Group Interactions

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

Research output: Contribution to journalArticlepeer-review

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 non-verbal 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. This research advances the study of behavioral measurement in groups and the role of behavior on perceived trustworthiness.

Original languageEnglish (US)
JournalIEEE Transactions on Affective Computing
DOIs
StateAccepted/In press - 2022
Externally publishedYes

Keywords

  • Affective computing
  • Complexity theory
  • Current measurement
  • H31d Linguistic processing
  • History
  • L20u Multimodal systems
  • Linguistics
  • O11 Nonverbal signals
  • O12b Speech analysis
  • O12c Paralanguage analysis
  • O14 Multi-modal recognition
  • O15 Recognition of group emotion
  • Task analysis
  • Uncertainty

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction

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