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How Should Automated Vehicles Communicate? – Effects of a Light-Based Communication Approach in a Wizard-of-Oz Study

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Advances in Human Factors of Transportation (AHFE 2019)

Abstract

To ensure road safety, automated vehicles (AVs) should be able to act and react to vulnerable road users (VRUs). External human-machine interfaces (e-HMIs) may allow AVs and VRUs to communicate effectively. We investigated the effects of various light signals presented by a light bar placed on the test vehicle’s roof (i.e. e-HMI). In addition, the driver was visible or the car appeared driverless by using a seat suit that covered the driver (Wizard-of-Oz design). A total of 173 random pedestrians passing by were interviewed. Participants felt significantly safer during the interaction with the vehicle when a driver was visible, while they evaluated the presented light signals as only partially trustworthy and unintuitive to understand. However, participants evaluated the application of light signals as e-HMIs for AVs as generally useful.

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Notes

  1. 1.

    In the condition “no signal/ driver visible”, no questionnaire or interview data was collected.

References

  1. Rasouli, A., Kotseruba, I., Tsotsos, J.K.: Understanding pedestrian behavior in complex traffic scenes. In: IEEE Transactions on Intelligent Vehicles, pp. 61–70. IEEE Press, New York (2018)

    Article  Google Scholar 

  2. Hölzel, A.: Unterscheidung von formeller und informeller Kommunikation im Straßenverkehr [Distinction of Formal and Informal Communication in Traffic.]. Diploma thesis. Universität Wien, Wien (2008)

    Google Scholar 

  3. Schieben, A., Wilbrink, M., Kettwich, C., Madigan, R., Louw, T., Merat, N.: Designing the interaction of automated vehicles with other traffic participants: design considerations based on human needs and expectations. Cogn. Technol. Work 21, 1–18 (2018)

    Article  Google Scholar 

  4. Straßenverkehrsordnung. https://www.stvo.de/strassenverkehrsordnung

  5. Fuest, T., Michalowski, L., Träris, L., Bellem, H., Bengler, K.: Using the driving behavior of an automated vehicle to communicate intentions - a wizard of Oz study. In: 21st International Conference on Intelligent Transportation Systems (ITSC), pp. 3596–3601. IEEE Press, New York (2018)

    Google Scholar 

  6. Witzlack, C., Beggiato, M., Krems, J.F.: Interaktionssequenzen zwischen Fahrzeugen und Fußgängern im Parkplatzszenario als Grundlage für kooperativ interagierende Automatisierung [Interaction Between Vehilces and Pedestrians as a Basis for Cooperative Automation.]. In: 32 VDI/VW-Gemeinschaftstagung, Fahrerassistenz und automatisiertes Fahren, VDI-Berichte 2288, pp. 323–336. VDI-Verlag GmbH, Düsseldorf (2016)

    Google Scholar 

  7. Sucha, M., Dostal, D., Risser, R.: Pedestrian-driver communication and decision strategies at marked crossings. Accid. Anal. Prev. 102, 41–50 (2017)

    Article  Google Scholar 

  8. Schneemann, F., Gohl, I.: Analyzing driver-pedestrian interaction at crosswalks: a contribution to autonomous driving in urban environments. In: IEEE Intelligent Vehicles Symposium (IV), pp. 38–43. IEEE Press, New York (2016)

    Google Scholar 

  9. SAE international (Automated driving – Levels of Driving Automation are Defined in New SAE international Standard J3016). www.sae.org/autodrive

  10. Merat, N., Jamson, A.H., Lai, F.C., Carsten, O.: Highly automated driving, secondary task performance, and driver state. Hum. Factors 54, 762–771 (2012)

    Article  Google Scholar 

  11. Rudin-Brown, C.M., Parker, H.A., Malisia, A.R.: Behavioral adaptation to adaptive cruise control. In: Proceedings of the Human Factors and Ergonomics Society 47th Annual Meeting, pp. 1850–1854. Sage Publications, Thousand Oaks (2003)

    Article  Google Scholar 

  12. Sirkin, D., Baltodano, S., Mok, B., Rothenbücher, D., Gowda, N., Li, J., Martelaro, N., Miller, D., Sibi, S., Ju, W.: Embodied design improvisation for autonomous vehicles. In: Plattner, H., Meinel, C., Leifer, L. (eds.) Design Thinking Research, pp. 125–143. Springer, Cham (2016)

    Google Scholar 

  13. Malmstem Lundgren, V., Habibovic, A., Andersson, J., Lagström, T., Nilsson, M., Sirkka, A., Fagerlönn, J., Fredriksson, R., Edgren, C., Krupenia, S., Saluäär, D.: Will there be new communication needs when introducing automated vehicles to the urban context? In: Stanton, N.A., Landry, S., Di Bucchianico, G., Vallicelli, A. (eds.) Advances in Human Aspects of Transportation. AISC, vol. 484, pp. 485–497. Springer, Basel (2016)

    Chapter  Google Scholar 

  14. Rothenbücher, D., Li, J., Sirkin, D., Mok, B., Ju, W.: Ghost driver: a field study investigating the interaction between pedestrians and driverless vehicles. In: 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE Press, New York (2016)

    Google Scholar 

  15. Lagström, T., Lundgren, V.M.: AVIP - Autonomous Vehicles’ Interaction with Pedestrians. Master thesis. Chalmers University of Technology, Gothenburg (2015)

    Google Scholar 

  16. Böckle, M., Brenden, A.P., Klingegård, M., Habibovic, A., Bout, M.: SAV2P - exploring the impact of an interface for shared automated vehicles on pedestrians’ experience. In: Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2017), pp. 136–140. ACM, New York (2017)

    Google Scholar 

  17. Chang, C.-M., Toda, K., Sakamoto, D., Igarashi, T.: Eyes on a car: an interface design for communication between an autonomous car and a pedestrian. In: Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2017), pp. 65–73. ACM, New York (2017)

    Google Scholar 

  18. 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)

    Article  Google Scholar 

  19. Willrodt, J.-H., Strothmann, H., Wallaschek, J.: Optical car-to-human communication for automated vehicles. In: International Symposium on Automotive Lighting 2017, Darmstadt (2017)

    Google Scholar 

  20. 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)

    Article  Google Scholar 

  21. Cocron, P., Bühler, F., Franke, T., Neumann, I., Dielmann, B., Krems, J.F.: Energy recapture through deceleration – regenerative braking in electric vehicles from a user perspective. Ergonomics 56(8), 1203–1215 (2011)

    Article  Google Scholar 

  22. 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. ACM, New York (2018)

    Google Scholar 

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Acknowledgements

The study was a part of the project “InMotion – Light-based communication between automated vehicles and other road users” and is supported by the German Federal Ministry of Transport and Digital Infrastructure (BMVI), grant no 16AVF2016A.

The test vehicle for conducting the study was provided by the Ford Motor Company.

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Correspondence to Ann-Christin Hensch .

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Hensch, AC., Neumann, I., Beggiato, M., Halama, J., Krems, J.F. (2020). How Should Automated Vehicles Communicate? – Effects of a Light-Based Communication Approach in a Wizard-of-Oz Study. In: Stanton, N. (eds) Advances in Human Factors of Transportation. AHFE 2019. Advances in Intelligent Systems and Computing, vol 964. Springer, Cham. https://doi.org/10.1007/978-3-030-20503-4_8

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  • DOI: https://doi.org/10.1007/978-3-030-20503-4_8

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