TY - GEN
T1 - Exploring Assistance Methods for Communication between Pedestrians and Automated Vehicles
T2 - 3rd IEEE International Conference on Human-Machine Systems, ICHMS 2022
AU - Lee, Jieun
AU - Daimon, Tatsuru
AU - Kitazaki, Satoshi
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The introduction of driving automation as a mobility service has been expected to shape new types of road communication between vulnerable road users and automated vehicles. Given that road users' lack of knowledge about automated vehicles in depopulated rural areas, it is important to design conversative strategies leading effective pedestrian-automated vehicle communication. The current study investigates impacts of communication methods assisting pedestrian avoidance from an approaching automated driving golf cart from behind. Three communication methods (Baseline, text-based external human-machine interface, road marking) and two environments (narrow road, parking area) were simulated in virtual reality experiments. Results found that pedestrians found it useful and effective when the automated cart provided a text message via the external human-machine interface, with giving way to the automated cart. As the blue marking on the road indicated the driving route of the automated cart, the road marking also had a potential for leading pedestrians to move from the road. Empirical findings provide practical recommendations for the design of communication strategies leading pedestrian-automated vehicle interaction in depopulated areas.
AB - The introduction of driving automation as a mobility service has been expected to shape new types of road communication between vulnerable road users and automated vehicles. Given that road users' lack of knowledge about automated vehicles in depopulated rural areas, it is important to design conversative strategies leading effective pedestrian-automated vehicle communication. The current study investigates impacts of communication methods assisting pedestrian avoidance from an approaching automated driving golf cart from behind. Three communication methods (Baseline, text-based external human-machine interface, road marking) and two environments (narrow road, parking area) were simulated in virtual reality experiments. Results found that pedestrians found it useful and effective when the automated cart provided a text message via the external human-machine interface, with giving way to the automated cart. As the blue marking on the road indicated the driving route of the automated cart, the road marking also had a potential for leading pedestrians to move from the road. Empirical findings provide practical recommendations for the design of communication strategies leading pedestrian-automated vehicle interaction in depopulated areas.
KW - Automated vehicles
KW - Depopulated area
KW - External human-machine interface
KW - Road communication
KW - Service mobility
UR - http://www.scopus.com/inward/record.url?scp=85146270832&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85146270832&partnerID=8YFLogxK
U2 - 10.1109/ICHMS56717.2022.9980751
DO - 10.1109/ICHMS56717.2022.9980751
M3 - Conference contribution
AN - SCOPUS:85146270832
T3 - Proceedings of the 2022 IEEE International Conference on Human-Machine Systems, ICHMS 2022
BT - Proceedings of the 2022 IEEE International Conference on Human-Machine Systems, ICHMS 2022
A2 - Kaber, David
A2 - Guerrieri, Antonio
A2 - Fortino, Giancarlo
A2 - Nurnberger, Andreas
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 17 November 2022 through 19 November 2022
ER -