TY - GEN
T1 - Advice Provision in Teleoperation of Autonomous Vehicles
AU - Trabelsi, Yohai
AU - Shabat, Or
AU - Lanir, Joel
AU - Maksimov, Oleg
AU - Kraus, Sarit
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/3/27
Y1 - 2023/3/27
N2 - Teleoperation of autonomous vehicles has been gaining a lot of attention recently and is expected to play an important role in helping autonomous vehicles handle difficult situations which they cannot handle on their own. In such cases, a remote driver located in a teleoperation center can remotely drive the vehicle until the situation is resolved. However, teledriving is a challenging task and requires many cognitive resources from the teleoperator. Our goal is to assist the remote driver in some complex situations by giving the driver appropriate advice. The advice is displayed on the driver's screen to help her make the right decision. To this end, we introduce the TeleOperator Advisor (TOA), an adaptive agent that provides assisting advice to a remote driver. We evaluate the TOA in a simulation-based setting in two scenarios: overtaking a slow vehicle and passing through a traffic light. Results indicate that our advice helps to reduce the cognitive load of the remote driver and improve driving performance.
AB - Teleoperation of autonomous vehicles has been gaining a lot of attention recently and is expected to play an important role in helping autonomous vehicles handle difficult situations which they cannot handle on their own. In such cases, a remote driver located in a teleoperation center can remotely drive the vehicle until the situation is resolved. However, teledriving is a challenging task and requires many cognitive resources from the teleoperator. Our goal is to assist the remote driver in some complex situations by giving the driver appropriate advice. The advice is displayed on the driver's screen to help her make the right decision. To this end, we introduce the TeleOperator Advisor (TOA), an adaptive agent that provides assisting advice to a remote driver. We evaluate the TOA in a simulation-based setting in two scenarios: overtaking a slow vehicle and passing through a traffic light. Results indicate that our advice helps to reduce the cognitive load of the remote driver and improve driving performance.
KW - Autonomous vehicles
KW - Remote driving
KW - Teleoperation
KW - Teleoperation challenges
UR - https://www.scopus.com/pages/publications/85152148391
U2 - 10.1145/3581641.3584068
DO - 10.1145/3581641.3584068
M3 - Conference contribution
AN - SCOPUS:85152148391
T3 - International Conference on Intelligent User Interfaces, Proceedings IUI
SP - 750
EP - 761
BT - IUI 2023 - Proceedings of the 28th International Conference on Intelligent User Interfaces
PB - Association for Computing Machinery
T2 - 28th International Conference on Intelligent User Interfaces, IUI 2023
Y2 - 27 March 2023 through 31 March 2023
ER -