Abstract
In the traditional context, the driver interacts with pedestrians in some informal ways, such as gestures and eye contact. However, pedestrians need to communicate with autonomous vehicles in the future and infer the state and intention of autonomous vehicles. This study aims to study how pedestrian-AV interaction is affected by the eHMI by exploring participants’ subjective feelings and underlying attitudes. In the VR experiment, participants (N = 12) encountered an autonomous vehicle in the scenario of the vehicle turning right. Several visual eHMIs and auditory eHMI were designed and combined them into 6 eHMI types. The results show that the eHMI will bring a positive experience to pedestrians. The eHMI with an audio-visual modality is better than eHMI with a single modality. Pedestrians selected the symbol + anthropomorphic voice eHMI as preferable over other eHMI types. Besides, the results also reveal how pedestrians feel about different eHMI types.
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References
Mahadevan, K., Somanath, S., Sharlin, E.: Communicating awareness and intent in autonomous vehicle-pedestrian interaction. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems-CHI ’18. pp. 1–12. ACM Press, Montreal QC, Canada (2018).
Sorokin, L., Chadowitz, R., Kauffmann, N.: A change of perspective: designing the automated vehicle as a new social actor in a public space. In: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems. pp. 1–8. ACM, Glasgow Scotland UK (2019).
Rasouli, A., Tsotsos, J.K.: Autonomous vehicles that interact with pedestrians: a survey of theory and practice. IEEE Trans. Intell. Transport. Syst. 21, 900–918 (2020)
Bengler, K., Rettenmaier, M., Fritz, N., Feierle, A.: From HMI to HMIs: towards an HMI framework for automated driving. Information 11, 61 (2020)
Hoffmann, T., Prause, G.: On the regulatory framework for last-mile delivery robots. Machines. 6, 33 (2018)
Hou, M., Mahadevan, K., Somanath, S., Sharlin, E., Oehlberg, L.: Autonomous vehicle-cyclist interaction: peril and promise. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. pp. 1–12. ACM, Honolulu HI USA (2020).
Rettenmaier, M., Albers, D., Bengler, K.: After you?! – Use of external human-machine interfaces in road bottleneck scenarios. Transport. Res. F: Traffic Psychol. Behav. 70, 175–190 (2020)
Colley, M., Walch, M., Gugenheimer, J., Askari, A., Rukzio, E.: Towards Inclusive external communication of autonomous vehicles for pedestrians with vision impairments. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. pp. 1–14. ACM, Honolulu, HI, USA (2020).
Charisi, V., Habibovic, A., Andersson, J., Li, J., Evers, V.: Children’s views on identification and intention communication of self-driving vehicles. In: Proceedings of the 2017 Conference on Interaction Design and Children. pp. 399–404. Association for Computing Machinery, New York, NY, USA (2017).
Faas, S.M., Mathis, L.-A., Baumann, M.: External HMI for self-driving vehicles: Which information shall be displayed? Transport. Res. F: Traffic Psychol. Behav. 68, 171–186 (2020)
Ackermann, C., Beggiato, M., Schubert, S., Krems, J.F.: An experimental study to investigate design and assessment criteria: What is important for communication between pedestrians and automated vehicles? Appl. Ergon. 75, 272–282 (2019)
Bazilinskyy, P., Dodou, D., de Winter, J.: Survey on eHMI concepts: the effect of text, color, and perspective. Transport. Res. F: Traffic Psychol. Behav. 67, 175–194 (2019)
Deb, S., Carruth, D.W., Hudson, C.R.: How communicating features can help pedestrian safety in the presence of self-driving vehicles: virtual reality experiment. IEEE Trans. Human-Mach. Syst. 50, 176–186 (2020)
Stadler, S., Cornet, H., Theoto, T.N., Frenkler, F.: A tool, not a toy: using virtual reality to evaluate the communication between autonomous vehicles and pedestrians. In: TomDieck, M.C., Jung, T. (eds.) Augmented Reality and Virtual Reality The Power of AR and VR for Business Progress in IS PI, pp. 203–216. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-06246-0_15
Holländer, K., Wintersberger, P., Butz, A.: Overtrust in external cues of automated vehicles: an experimental investigation. 11 (2019).
Rouchitsas, A., Alm, H.: External human-machine interfaces for autonomous vehicle-to-pedestrian communication: a review of empirical work. Front. Psychol. 10, 2757 (2019)
Alvarez, W.M., Angel de Miguel, M., Garcia, F., Olaverri-Monreal, C.: Response of vulnerable road users to visual information from autonomous vehicles in shared spaces. In: 2019 IEEE Intelligent Transportation Systems Conference (ITSC). pp. 3714–3719. IEEE, Auckland, New Zealand (2019).
Ackermans, S., Dey, D., Ruijten, P., Cuijpers, R.H., Pfleging, B.: The effects of explicit intention communication, conspicuous sensors, and pedestrian attitude in interactions with automated vehicles. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. pp. 1–14. ACM, Honolulu HI USA (2020).
Somrak, A., Humar, I., Hossain, M.S., Alhamid, M.F., Hossain, M.A., Guna, J.: Estimating VR sickness and user experience using different HMD technologies: an evaluation study. Futur. Gener. Comput. Syst. 94, 302–316 (2019)
Acknowledgments
The research was supported by the Natural Science Foundation of Hunan Province, China (Z202032450286, 2020JJ5070).
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He, Z., Tan, Z., Zhang, R., Li, Y., Liu, B. (2021). How Pedestrian-AV Interaction Is Affected by the eHMI: A Virtual Reality Experiment. In: Ahram, T.Z., Falcão, C.S. (eds) Advances in Usability, User Experience, Wearable and Assistive Technology. AHFE 2021. Lecture Notes in Networks and Systems, vol 275. Springer, Cham. https://doi.org/10.1007/978-3-030-80091-8_84
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DOI: https://doi.org/10.1007/978-3-030-80091-8_84
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