TY - GEN
T1 - Vulnerability and Experience
T2 - Intelligent Systems Conference, IntelliSys 2024
AU - Tang, Liang
AU - Bashir, Masooda
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - This study investigates influential factors impacting public trust in autonomous vehicles (AVs) beyond traditional considerations. It critically examines how perceived vulnerability influences pedestrians’ situational trust in AVs and how prior experiences shape learned trust – delineating impacts of subject matter expertise versus personal interactions with automated systems. Findings reveal a positive relationship between trust and complacency, both instrumental in pedestrian receptivity to AVs. Distinctions emerge between effects of technological experience versus objective knowledge about AVs, suggesting subjective quality of technological encounters could be more decisive than familiarity in evolving public trust toward driverless transportation.
AB - This study investigates influential factors impacting public trust in autonomous vehicles (AVs) beyond traditional considerations. It critically examines how perceived vulnerability influences pedestrians’ situational trust in AVs and how prior experiences shape learned trust – delineating impacts of subject matter expertise versus personal interactions with automated systems. Findings reveal a positive relationship between trust and complacency, both instrumental in pedestrian receptivity to AVs. Distinctions emerge between effects of technological experience versus objective knowledge about AVs, suggesting subjective quality of technological encounters could be more decisive than familiarity in evolving public trust toward driverless transportation.
KW - Autonomous vehicle
KW - Human-automation interaction
KW - Human-centered design
KW - Trust
UR - http://www.scopus.com/inward/record.url?scp=85201086702&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85201086702&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-66336-9_35
DO - 10.1007/978-3-031-66336-9_35
M3 - Conference contribution
AN - SCOPUS:85201086702
SN - 9783031663352
T3 - Lecture Notes in Networks and Systems
SP - 497
EP - 507
BT - Intelligent Systems and Applications - Proceedings of the 2024 Intelligent Systems Conference IntelliSys Volume 4
A2 - Arai, Kohei
PB - Springer
Y2 - 5 September 2024 through 6 September 2024
ER -