Abstract
According to Hoff and Bashir (2015), who developed a theoretical model of trust in automation, this study deals with pedestrians’ adoption of automated vehicles (AVs) and their trust in the AVs. External HMI (Human Machine Interface) integrated into AV is known to increased pedestrians’ trust during road crossing. To empirically apply this model and evaluate the trust potential of eHMI’s, we conducted a study with 49 participants in a virtual reality environment. The study manipulated two factors: vehicle type (conventional, automated, and automated with eHMI) and road infrastructure (unmarked, pedestrian crossing with and without traffic lights). Participants self-rated their trust in automation before and after the study. Trust and emotions were retrieved after each road crossing. Preliminary results indicated a positive impact of eHMI on pedestrian’s behaviors, trust and emotional levels. Infrastructure was also enhancing positive emotions and trust. During an uncertain situation such as pedestrian crossing, pedestrians felt more control with a conventional vehicle than an automated vehicle. The theoretical application of Hoff and Bashir’s model is discussed regarding the results. Further research is needed to clarify dynamic contexts’ implications and eHMI efficiency on automation trust.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Hoff, K.A., Bashir, M.: Trust in automation: integrating empirical evidence on factors that influence trust. Hum. Factors 57(3), 407–434 (2015)
Clamann, M., Aubert, M., Cummings, M.L.: Evaluation of vehicle-to-pedestrian communication displays for autonomous vehicles (No. 17-02119) (2017)
Dey, D., Habibovic, A., Löcken, A., Wintersberger, P., Pfleging, B., Riener, A., Martens, M., Terken, J.: Taming the eHMI jungle: a classification taxonomy to guide, compare, and assess the design principles of automated vehicles’ external human-machine interfaces. Transp. Res. Interdiscip. Perspect. 7, 100174 (2020)
Ackermann, C., Beggiato, M., Bluhm, L.F., Löw, A., Krems, J.F.: Deceleration parameters and their applicability as informal communication signal between pedestrians and automated vehicles. Transp. Res. Part F: Traffic Psychol. Behav. 62, 757–768 (2019)
Florentine, E., Ang, M.A., Pendleton, S.D., Andersen, H., Ang Jr., M.H.: Pedestrian notification methods in autonomous vehicles for multi-class mobility-on-demand service. In: Proceedings of the Fourth International Conference on Human Agent Interaction, pp. 387–392. ACM, October 2016
Muir, B.M.: Trust in automation: Part I. Theoretical issues in the study of trust and human intervention in automated systems. Ergonomics 37, 1905–1922 (1994)
Barcellini, F., Grosse, C., Karsenty, L.: Quelle démarche pour favoriser la construction de relation de confiance dans un projet de conception ? Karsenty Laurent (dir.). La confiance au travail, Octares, pp. 187–207 (2013)
Rasmussen, J.: Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models. IEEE Trans. Syst. Man Cybern. 3, 257–266 (1983)
Hoc, J.M.: Supervision et contrôle de processus: la cognition en situation dynamique. Presses universitaires de Grenoble (1996)
Choi, J.K., Ji, Y.G.: Investigating the importance of trust on adopting an autonomous vehicle. Int. J. Hum.-Comput. Interact. 31(10), 692–702 (2015)
Lee, J.D., See, K.A.: Trust in automation: designing for appropriate reliance. Hum. Factors 46(1), 50–80 (2004)
Jian, J.Y., Bisantz, A.M., Drury, C.G.: Foundations for an empirically determined scale of trust in automated systems. Int. J. Cogn. Ergon. 4(1), 53–71 (2000)
Bradley, M.M., Lang, P.J.: Measuring emotion: the self-assessment manikin and the semantic differential. J. Behav. Ther. Exp. Psychiatry 25, 49–59 (1994)
Sucha, M., Dostal, D., Risser, R.: Pedestrian-driver communication and decision strategies at marked crossings. Accid. Anal. Prev. 102, 41–50 (2017)
De Clercq, K., Dietrich, A., Núñez Velasco, J.P., De Winter, J., Happee, R.: External human-machine interfaces on automated vehicles: effects on pedestrian crossing decisions. Hum. Factors 61(8), 1353–1370 (2019)
Kitazaki, S., Myhre, N.J.: Effects of non-verbal communication cues on decisions and trust of drivers at an uncontrolled intersection (2015)
Lagström, T., Malmsten Lundgren, V.: AVIP-Autonomous vehicles’ interaction with pedestrians-An investigation of pedestrian-driver communication and development of a vehicle external interface. Master’s thesis (2016)
Lee, Y.M., Madigan, R., Giles, O., Garach-Morcillo, L., Markkula, G., Fox, C., Camara, F., Rothmueller, M., Vendelbo‑Larsen, S.A., Rasmussen, P.H., Dietrich, A., Nathanael, D., Portouli, V., Schieben, A., Merat, N.: Road users rarely use explicit communication when interacting in today’s traffic: implications for automated vehicles. Cogn. Technol. Work, 1–14 (2020)
Wilson, D., Sperber, D.: Relevance theory (2002)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Bonneviot, F., Coeugnet, S., Brangier, E. (2021). Pedestrians-Automated Vehicles Interaction: Toward a Specific Trust Model?. 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_69
Download citation
DOI: https://doi.org/10.1007/978-3-030-74608-7_69
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-74607-0
Online ISBN: 978-3-030-74608-7
eBook Packages: EngineeringEngineering (R0)