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

doi:10.1109/TAFFC.2022.3160132

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 journal › Article › peer-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 language	English (US)
Pages (from-to)	2389-2401
Number of pages	13
Journal	IEEE Transactions on Affective Computing
Volume	14
Issue number	3
DOIs	https://doi.org/10.1109/TAFFC.2022.3160132
State	Published - 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

ASJC Scopus subject areas

Software
Human-Computer Interaction

Access to Document

10.1109/TAFFC.2022.3160132

Cite this

@article{37dbcde3bf8e41df9458bc70feb1e8c9,

title = "Non-Invasive Measurement of Trust in Group Interactions",

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.",

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",

author = "Spitzley, {Lee A.} and Xinran Wang and Xunyu Chen and Pentland, {Steven J.} and Nunamaker, {Jay F.} and Burgoon, {Judee K.} and Dunbar, {Norah E.}",

note = "Publisher Copyright: {\textcopyright} 2010-2012 IEEE.",

year = "2023",

month = jul,

day = "1",

doi = "10.1109/TAFFC.2022.3160132",

language = "English (US)",

volume = "14",

pages = "2389--2401",

journal = "IEEE Transactions on Affective Computing",

issn = "1949-3045",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "3",

}

TY - JOUR

T1 - Non-Invasive Measurement of Trust in Group Interactions

AU - Spitzley, Lee A.

AU - Wang, Xinran

AU - Chen, Xunyu

AU - Pentland, Steven J.

AU - Nunamaker, Jay F.

AU - Burgoon, Judee K.

AU - Dunbar, Norah E.

PY - 2023/7/1

Y1 - 2023/7/1

N2 - 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.

AB - 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.

KW - H.3.1.d Linguistic processing

KW - L.2.0.u Multimodal systems

KW - O.1.1 Nonverbal signals

KW - O.1.2.b Speech analysis

KW - O.1.2.c Paralanguage analysis

KW - O.1.4 Multi-modal recognition

KW - O.1.5 Recognition of group emotion

UR - http://www.scopus.com/inward/record.url?scp=85127023731&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85127023731&partnerID=8YFLogxK

U2 - 10.1109/TAFFC.2022.3160132

DO - 10.1109/TAFFC.2022.3160132

M3 - Article

SN - 1949-3045

VL - 14

SP - 2389

EP - 2401

JO - IEEE Transactions on Affective Computing

JF - IEEE Transactions on Affective Computing

IS - 3

ER -

Non-Invasive Measurement of Trust in Group Interactions

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this