Abstract
Future traffic will be determined by the joint interaction of automated vehicles and other traffic participants in mixed traffic environments. For an overall safe and efficient traffic flow, the communication between automated vehicles and pedestrians must be ensured. An external human-machine interface (eHMI) serves as a communication channel between automated vehicles and other traffic participants. However, it remains unclear how information needs may differ for different vehicle types and how this should be considered in the eHMI design. This experimental online study investigates the pedestrians’ interactions with two different automated vehicle types (car vs. bus) on a shared space. Both vehicles were equipped with the same eHMI communication strategies (mode awareness, intention-based, perception-based, combination) based on a LED light-band eHMI. Short video sequences from a pedestrians’ perspective were shown in which the participants interacted with both vehicle types. Results showed that participants felt significantly safer and more comfortable when interacting with the car compared to the bus. Furthermore, participants felt significantly safer and better informed when an eHMI communication strategy was presented vs. mere mode awareness vs. no eHMI at all for both vehicle types (car vs. bus).
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This research was conducted within the project “CADJapanGermany: HF” which is funded by the Federal Ministry of Education and Research of Germany.
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Lau, M., Le, D.H., Oehl, M. (2021). Design of External Human-Machine Interfaces for Different Automated Vehicle Types for the Interaction with Pedestrians on a Shared Space. In: Black, N.L., Neumann, W.P., Noy, I. (eds) Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021). IEA 2021. Lecture Notes in Networks and Systems, vol 221. Springer, Cham. https://doi.org/10.1007/978-3-030-74608-7_87
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