TY - GEN
T1 - Subtype Divergences of Trust in Autonomous Vehicles
T2 - 23rd IEEE International Conference on Intelligent Transportation Systems, ITSC 2020
AU - Seet, Manuel S.
AU - Dragomir, Andrei
AU - Mathialagan, Ilakya
AU - Ann, Lim Yi
AU - Zaid, Zahirah Binte
AU - Ramapatna, Satish L.
AU - Thakor, Nitish V.
AU - Bezerianos, Anastasios
N1 - Funding Information:
This work was supported by Startup Grant (WBS C-719-000-001-001) awarded to Nitish Thakor at the National University of Singapore (NUS). M. S. Seet, A. Dragomir, and A. Bezerianos are with the N.1 Institute for Health, NUS, 28 Medical Drive, Singapore 117456. I. Mathialagan, Y. A. Lim and Z. binte Zaid are with the NUS High School of Mathematics and Science, Singapore 129957. S. L. Ramapatna is affiliated with the Department of Anatomy, Yong Loo Lin School of Medicine, NUS, 4 Medical Drive, Singapore 117597. N. V. Thakor is affiliated with the Department of Biomedical Engineering, NUS, 4 Engineering Drive 3, Singapore 117583. * Corresponding Author. Email Address: tassos.bezerianos@nus.edu.sg
Publisher Copyright:
© 2020 IEEE.
PY - 2020/9/20
Y1 - 2020/9/20
N2 - Trust determines public acceptance and uptake of autonomous vehicles (AV). Against popular assumption, trustin-automation is not a unitary construct, but comprises trust subtypes that have different behavioural properties and implications. Understanding trust subtypes - specifically competence-based trust (CT) and integrity-based trust (IT) - is crucial for improving public communication about AVs, analysing trustdependent driver behaviours and designing trust-recovering interfaces. However, these issues have been overlooked in most past research. As a pioneering step, the goal of this research was to analyse how experience with AV failures affect CT and IT. After experience with AV driving errors, both trust subtypes were reduced, with CT showing greater reduction. Structural equation modelling revealed CT to be the primary contributor to acceptance for driving automation, with stronger subsequent impact on preference for fully autonomous (SAE L5) than on semi-autonomous driving (SAE L3). These findings inform that trust-repairing interface should target CT after driving errors, especially for higher automation levels where humans are further removed from the loop. Future directions concerning CT-IT interactions, and the impact of AV anthropomorphic design and connnected vehicle cyber-security on IT are discussed.
AB - Trust determines public acceptance and uptake of autonomous vehicles (AV). Against popular assumption, trustin-automation is not a unitary construct, but comprises trust subtypes that have different behavioural properties and implications. Understanding trust subtypes - specifically competence-based trust (CT) and integrity-based trust (IT) - is crucial for improving public communication about AVs, analysing trustdependent driver behaviours and designing trust-recovering interfaces. However, these issues have been overlooked in most past research. As a pioneering step, the goal of this research was to analyse how experience with AV failures affect CT and IT. After experience with AV driving errors, both trust subtypes were reduced, with CT showing greater reduction. Structural equation modelling revealed CT to be the primary contributor to acceptance for driving automation, with stronger subsequent impact on preference for fully autonomous (SAE L5) than on semi-autonomous driving (SAE L3). These findings inform that trust-repairing interface should target CT after driving errors, especially for higher automation levels where humans are further removed from the loop. Future directions concerning CT-IT interactions, and the impact of AV anthropomorphic design and connnected vehicle cyber-security on IT are discussed.
KW - Autonomous Vehicles
KW - Behavioural Modelling
KW - Human Factors
KW - Trust in Automation
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U2 - 10.1109/ITSC45102.2020.9294495
DO - 10.1109/ITSC45102.2020.9294495
M3 - Conference contribution
AN - SCOPUS:85099644283
T3 - 2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020
BT - 2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 20 September 2020 through 23 September 2020
ER -