Towards Inclusive External Communication of Autonomous Vehicles for Pedestrians with Vision Impairments

Diese Abbildung zeigt das vorgeschlagene Model zu Informationen, die ein sehbeeinträchtiger Mensch während eines Durchgangs benötigt
Diese Abbildung zeigt das vorgeschlagene Model zu Informationen, die ein sehbeeinträchtiger Mensch während eines Durchgangs benötigt
People with vision impairments (VIP) are among the most vulnerable road users in traffic. Autonomous vehicles are believed to reduce accidents but still demand some form of external communication signaling relevant information to pedestrians. Recent research on the design of vehicle-pedestrian communication (VPC) focuses strongly on concepts for a non-disabled population. Our work presents an inclusive user-centered design for VPC, beneficial for both vision impaired and seeing pedestrians. We conducted a workshop with VIP (N=6), discussing current issues in road traffic and comparing communication concepts proposed by literature. A thematic analysis unveiled two important themes: number of communicating vehicles and content (affecting duration). Subsequently, we investigated these in a second user study in virtual reality (N=33, 8 VIP) comparing the VPC between groups of abilities. We found that trust and understanding is enhanced and cognitive load reduced when all relevant vehicles communicate; high content messages also reduce cognitive load.

Contact

Mark Colley

Marcel Walch

Jan Gugenheimer

Ali Askari

Enrico Rukzio

Publication

Colley, Mark; Walch, Marcel; Gugenheimer, Jan; Askari, Ali; Rukzio, Enrico

Towards Inclusive External Communication of Autonomous
Vehicles for Pedestrians with Vision Impairments

In Proc. of CHI 2020 (SIGCHI Conference on Human Factors in Computing Systems),

2020