TY - GEN
T1 - Trust in Human-AI Interaction
T2 - 2022 CHI Conference on Human Factors in Computing Systems, CHI EA 2022
AU - Ueno, Takane
AU - Sawa, Yuto
AU - Kim, Yeongdae
AU - Urakami, Jacqueline
AU - Oura, Hiroki
AU - Seaborn, Katie
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/4/27
Y1 - 2022/4/27
N2 - Trust has emerged as a key factor in people's interactions with AI-infused systems. Yet, little is known about what models of trust have been used and for what systems: robots, virtual characters, smart vehicles, decision aids, or others. Moreover, there is yet no known standard approach to measuring trust in AI. This scoping review maps out the state of affairs on trust in human-AI interaction (HAII) from the perspectives of models, measures, and methods. Findings suggest that trust is an important and multi-faceted topic of study within HAII contexts. However, most work is under-theorized and under-reported, generally not using established trust models and missing details about methods, especially Wizard of Oz. We offer several targets for systematic review work as well as a research agenda for combining the strengths and addressing the weaknesses of the current literature.
AB - Trust has emerged as a key factor in people's interactions with AI-infused systems. Yet, little is known about what models of trust have been used and for what systems: robots, virtual characters, smart vehicles, decision aids, or others. Moreover, there is yet no known standard approach to measuring trust in AI. This scoping review maps out the state of affairs on trust in human-AI interaction (HAII) from the perspectives of models, measures, and methods. Findings suggest that trust is an important and multi-faceted topic of study within HAII contexts. However, most work is under-theorized and under-reported, generally not using established trust models and missing details about methods, especially Wizard of Oz. We offer several targets for systematic review work as well as a research agenda for combining the strengths and addressing the weaknesses of the current literature.
KW - Artificial intelligence
KW - Automation
KW - Decision aids
KW - Robots
KW - Scoping review
KW - Trust
UR - http://www.scopus.com/inward/record.url?scp=85129769757&partnerID=8YFLogxK
U2 - 10.1145/3491101.3519772
DO - 10.1145/3491101.3519772
M3 - Conference contribution
AN - SCOPUS:85129769757
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2022 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 30 April 2022 through 5 May 2022
ER -