TY - GEN
T1 - Pedestrian Groups Matter
T2 - 35th IEEE Intelligent Vehicles Symposium, IV 2024
AU - Hübner, Maximilian
AU - Baude, Martina
AU - Bengler, Klaus
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Since future mobility will change into mixed traffic, the communication approach of automated vehicles should consider multiple human receivers. This virtual reality study investigates the external communication of an automated vehicle in interactions with multiple pedestrians. Involving 42 participants, the study explores the impact of a simulated pedestrian group at the roadside, a seldom-explored aspect in current research on human-vehicle interactions. Results reveal a significant influence of the additional pedestrian group on participants' behaviors and perceptions, emphasizing the need for nuanced communication strategies in automated vehicle design. This paper contributes to understanding social factors in automated vehicle interactions, providing valuable insights for future research and the development of human-centric automated vehicle communication systems.
AB - Since future mobility will change into mixed traffic, the communication approach of automated vehicles should consider multiple human receivers. This virtual reality study investigates the external communication of an automated vehicle in interactions with multiple pedestrians. Involving 42 participants, the study explores the impact of a simulated pedestrian group at the roadside, a seldom-explored aspect in current research on human-vehicle interactions. Results reveal a significant influence of the additional pedestrian group on participants' behaviors and perceptions, emphasizing the need for nuanced communication strategies in automated vehicle design. This paper contributes to understanding social factors in automated vehicle interactions, providing valuable insights for future research and the development of human-centric automated vehicle communication systems.
UR - http://www.scopus.com/inward/record.url?scp=85199783644&partnerID=8YFLogxK
U2 - 10.1109/IV55156.2024.10588543
DO - 10.1109/IV55156.2024.10588543
M3 - Conference contribution
AN - SCOPUS:85199783644
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 69
EP - 76
BT - 35th IEEE Intelligent Vehicles Symposium, IV 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 2 June 2024 through 5 June 2024
ER -