Abstract
Communication between pedestrians and automated vehicles is playing a key role in enhancing the safety of future traffic environment. The current study attempted to suggest new insights into designing external human-machine interfaces (eHMIs) in automated vehicles for traffic safety as examines negative effects of the eHMI on pedestrian crossing behaviour in a situation where an automated vehicle yields to pedestrian. Virtual Reality systems simulated three experimental conditions: baseline (no eHMI), showing “After you” and “I’ll stop” via eHMI on an automated vehicle in residential areas. The experiment using human participants resulted that conveying information via eHMI led pedestrians to do less careful exploratory behaviour toward other traffic. The result also showed the greater number of traffic collisions when the eHMI showed information compared to non-eHMI condition. The findings of this study are also being used to help how to design the eHMI on automated vehicles in shared spaces.
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Lee, J., Daimon, T., Kitazaki, S. (2021). Negative Effect of External Human-Machine Interfaces in Automated Vehicles on Pedestrian Crossing Behaviour: A Virtual Reality Experiment. 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_88
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