Abstract
This paper addresses what kind of information users need when driving in an autonomously shuttle and how this information is communicated. This was investigated in two studies with participants in the age-range of 23–25 years using online focus groups. Results showed that both groups rely on the “safety driver” because it supports the feeling of security. Concerning the possibilities of transmission via different human-machine-interfaces, the participants agreed in both studies that the type of information and its transmission should be similar to that used in today's public transport. Differences between the two studies arose in the discussion about the presentation of technical information. One group preferred that technical information, including the explanation of how the shuttle works and real-time sensor data of what the autonomous shuttle is detecting, be shown by default. On the contrary, the other group only preferred this information on request by the passengers. Furthermore, participants explained that such information could increase insecurity as it could be too detailed and might overwhelm passengers. Both groups agreed that providing some extra information for reducing concerns is helpful. One aspect for overcoming negative feelings in the shuttle was the idea that more infotainment options, such as showing Points of Interest, can elicit positive feelings during the ride and this in turn can decrease potential fear or trust issues with autonomous shuttles.
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References
Helldin, T., Falkman, G., Riveiro, M., Davidsson, S.: Presenting system uncertainty in automotive UIs for supporting trust calibration in autonomous driving. In: Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2013), Eindhoven, Netherlands, 28–30 October 2013, pp. 210–217. ACM, New York (2013)
Lee, J.D., See, K.A.: Trust in automation: designing for appropriate reliance. Hum. Factors 46, 50–80 (2004)
Riener, A., Appel, A., Dorner, W., Huber, T., Kolb, J.C., Wagner, H. (eds.): Autonome Shuttlebusse im ÖPNV. Springer, Heidelberg (2020). https://doi.org/10.1007/978-3-662-59406-3
Friebel, P.: Fahrgastbefragung der Linie 708. Zwischenstand zur Akzeptanz eines automatisiert fahrenden Kleinbusses in Wusterhausen/Dosse (2019)
Schäfer, P., Altinsoy, P.: Autonom am Mainkai. Nutzerakzeptanz und betriebliche Herausforderungen autonomer Shuttles in Frankfurt am Main. Frankfurt University of Applied Sciences - Research Lab for Urban Transport, Frankfurt am Main (2021)
Zankl, C., Rehrl, K.: Digibus 2017. Erfahrungen mit dem ersten selbstfahrenden Shuttlebus auf öffentlichen Straßen in Österreich (2018)
Salonen, A.O.: Passenger’s subjective traffic safety, in-vehicle security and emergency management in the driverless shuttle bus in Finland. Transp. Policy 61, 106–110 (2018)
Mantel, R.: Akzeptanz eines automatisierten Shuttles in einer Kleinstadt Analyse anhand einer Trendstudie und Fahrgastbefragung. J. für Mobilität und Verkehr 19, 25–35 (2021)
Wintersberger, P., Frison, A.-K., Thang, I., Riener, A.: Mensch oder Maschine? Direktvergleich von automatisiert und manuell gesteuertem Nahverkehr. In: Riener, A., Appel, A., Dorner, W., Huber, T., Kolb, J.C., Wagner, H. (eds.) Autonome Shuttlebusse im ÖPNV, pp. 95–113. Springer, Heidelberg (2020). https://doi.org/10.1007/978-3-662-59406-3_6
Mirnig, A.G., Gärtner, M., Wallner, V., Trösterer, S., Meschtscherjakov, A., Tscheligi, M.: Where does it go? A study on visual on-screen designs for exit management. In: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings (Automotive UI 2019), Utrecht, Netherlands, 21–25 September 2019, pp. 233–243. ACM (2019)
Zwick, M., Schröter, R.: Konzeption und Durchführung von Fokusgruppen am Beispiel des BMBF-Projekts “Übergewicht und Adipositas bei Kindern, Jugendlichen und jungen Erwachsenen als systemisches Risiko.” In: Schulz, M., Mack, B., Renn, O. (eds.) Fokusgruppen in der empirischen Sozialwissenschaft, pp. 24–48. VS Verlag für Sozialwissenschaften, Wiesbaden (2012)
Zoom Homepage (2021). https://zoom.us/. Accessed 31 Oct 2021
Mural Homepage (2021). https://www.mural.co/. Accessed 31 Oct 2021
MAXQDA Homepage (2021). https://www.maxqda.de/. Accessed 31 Oct 2021
Mathis, L.-A., et al.: Creating informed public acceptance by a user-centered human-machine interface for all automated transport modes. In: Proceedings of 8th Transport Research Arena (TRA 2020), Helsinki, Finland, 27–30 April 2020 (2020)
Kraus, J.M., Nothdurft, F., Hock, P., Scholz, D., Minker, W., Baumann, M.: Human after all: effects of mere presence and social interaction of a humanoid robot as a co-driver in automated driving. In: Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2016), Ann Arbor, MI, USA, 24–26 October 2016, pp. 129–134. ACM, New York (2016)
Acknowledgements
We would like to thank all participants of both studies for their committed and enthusiastic participation in the group discussion. Only with the help of the participants could the described findings be obtained.
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Linnartz, M., Dufner, Y., Fricke, N. (2022). Information Presentation in Autonomous Shuttle Busses: –What and How?. In: Wölfel, M., Bernhardt, J., Thiel, S. (eds) ArtsIT, Interactivity and Game Creation. ArtsIT 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 422. Springer, Cham. https://doi.org/10.1007/978-3-030-95531-1_28
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DOI: https://doi.org/10.1007/978-3-030-95531-1_28
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