Document Type
Article
Publication Date
7-2023
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.
Copyright Statement
© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. https://doi.org/10.1109/TAFFC.2022.3160132
Publication Information
Spitzley, Lee A.; Wang, Xinran; Chen, Xunyu; Pentland, Steven J.; Nunamaker, Jay F.; Burgoon, Judee K.; and Dunbar, Norah E.. (2023). "Non-Invasive Measurement of Trust in Group Interactions". IEEE Transactions on Affective Computing, 14(3), 2389-2401. https://doi.org/10.1109/TAFFC.2022.3160132