TY - GEN
T1 - Construction of Interface Evaluation System in Internet-Connected Vehicle Oriented to Automation Trust Calibration
AU - Yihang, Du
AU - Ke, Niu
AU - Chao, Sun
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - The internet-connected vehicle (ICV) automated driving system can enable the driver to release the control of vehicle to a certain extent, but the driver still needs to implement the takeover when the system fails or reaches its functional limit, and the driver's trust in automation system is precisely the key mediating variable to ensure effective and timely takeover. Effective transparency information design of in-vehicle interface system is the key to realize trust calibration of ICV automation. According to the coupling law between information directionality and driver cognitive resources in in-vehicle intelligent media, the evaluation scheme of system interface is proposed by the perspective of automation trust calibration, and the group decision analytic hierarchy process (GD-AHP) method was adopted to establish the evaluation model of in-vehicle intelligent media interface, which contains four dimensions of task information, system intention, process analysis and environment information, with a total of 13 indicators, and which helps to provide a theoretical and application foundation for improving the safety level of autonomous driving.
AB - The internet-connected vehicle (ICV) automated driving system can enable the driver to release the control of vehicle to a certain extent, but the driver still needs to implement the takeover when the system fails or reaches its functional limit, and the driver's trust in automation system is precisely the key mediating variable to ensure effective and timely takeover. Effective transparency information design of in-vehicle interface system is the key to realize trust calibration of ICV automation. According to the coupling law between information directionality and driver cognitive resources in in-vehicle intelligent media, the evaluation scheme of system interface is proposed by the perspective of automation trust calibration, and the group decision analytic hierarchy process (GD-AHP) method was adopted to establish the evaluation model of in-vehicle intelligent media interface, which contains four dimensions of task information, system intention, process analysis and environment information, with a total of 13 indicators, and which helps to provide a theoretical and application foundation for improving the safety level of autonomous driving.
KW - Automation trust calibration
KW - Group decision analytic hierarchy process
KW - Interaction interface evaluation
KW - Internet-connected vehicles
KW - System transparency
UR - http://www.scopus.com/inward/record.url?scp=85135077082&partnerID=8YFLogxK
U2 - 10.1007/978-981-19-1053-1_15
DO - 10.1007/978-981-19-1053-1_15
M3 - Conference contribution
AN - SCOPUS:85135077082
SN - 9789811910524
T3 - Smart Innovation, Systems and Technologies
SP - 161
EP - 171
BT - Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the IIH-MSP 2021 and FITAT 2021
A2 - Pan, Jeng-Shyang
A2 - Meng, Zhenyu
A2 - Li, Jianpo
A2 - Virvou, Maria
PB - Springer Science and Business Media Deutschland GmbH
T2 - 17th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2021, in conjunction with the 14th International Conference on Frontiers of Information Technology, Applications and Tools, FITAT 2021
Y2 - 29 October 2021 through 31 October 2021
ER -