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HAVIT: A VR-Based Platform to Support Human-Autonomous Vehicle Interaction Study

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HCI in Mobility, Transport, and Automotive Systems (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13335))

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Abstract

We propose the Human-Autonomous Vehicle Interaction Testbed (HAVIT), a VR-based platform that enables researchers and designers to quickly configure AV-pedestrian interaction scenarios and evaluate their design concepts during the design process in a holistic and consistent manner. The HAVIT presents an efficient workflow that combines the Scenario Configuration, Experimental Setting, and Batch Configuration. Our workflow enables researchers to quickly and flexibly configure motion behaviors of AVs and external human-machine interfaces (eHMIs) through visual panels and direct manipulation; complete experimental setting through Data Collection component and Testing Instruction component; and immediately enact and immersively experience them to reasonable iterate and generate virtual scenarios for testing. We conducted an usability testing with domain experts and designers to test the effectiveness of how HAVIT can support AVs-pedestrian interaction design process.

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References

  1. Mahadevan, K., Sanoubari, E., Somanath, S., Young, J.E., Sharlin, E.: AV-Pedestrian interaction design using a pedestrian mixed traffic simulator. In: Proceedings of the 2019 on Designing Interactive Systems Conference, pp. 475–486 (2019)

    Google Scholar 

  2. Deb, S., Carruth, D.W., Sween, R., Strawderman, L., Garrison, T.M.: Efficacy of virtual reality in pedestrian safety research. Appl. Ergon. 65, 449–460 (2017)

    Article  Google Scholar 

  3. Habibovic, A., et al.: Communicating intent of automated vehicles to pedestrians. Front. Psychol. 1336 (2018)

    Google Scholar 

  4. Rothenbücher, D., Li, J., Sirkin, D., Mok, B., Ju, W.: Ghost driver: a field study investigating the interaction between pedestrians and driverless vehicles. In: 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pp. 795–802. IEEE (2016)

    Google Scholar 

  5. 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 

  6. Dey, D., et al.: Distance-dependent eHMIs for the interaction between automated vehicles and pedestrians. In 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp. 192–204, September 2020

    Google Scholar 

  7. Fridman, L., Mehler, B., Xia, L., Yang, Y., Facusse, L.Y., Reimer, B.: To walk or not to walk: crowdsourced assessment of external vehicle-to-pedestrian displays. arXiv preprint arXiv:1707.02698 (2017)

  8. Kemeny, A., Panerai, F.: Evaluating perception in driving simulation experiments. Trends Cogn. Sci. 7(1), 31–37 (2003)

    Article  Google Scholar 

  9. Rouchitsas, A., Alm, H.: External human-machine interfaces for autonomous vehicle-to-pedestrian communication: a review of empirical work. Front. Psychol. 2757 (2019)

    Google Scholar 

  10. Colley, M., Walch, M., Rukzio, E.: Unveiling the lack of scalability in research on external communication of autonomous vehicles. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1–9 (2020)

    Google Scholar 

  11. Dey, D., et al.: Taming the eHMI jungle: a classification taxonomy to guide, compare, and assess the design principles of automated vehicles’ external human-machine interfaces. Transp. Res. Interdisc. Perspect. 7, 100174 (2020)

    Google Scholar 

  12. Rasouli, A., Tsotsos, J.K.: Autonomous vehicles that interact with pedestrians: a survey of theory and practice. IEEE Trans. Intell. Transp. Syst. 21(3), 900–918 (2019)

    Article  Google Scholar 

  13. Faas, S. M.: What pedestrians want from autonomous vehicles-Mercedes cooperative car (2018)

    Google Scholar 

  14. 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)

    Article  Google Scholar 

  15. Holländer, K., Wintersberger, P., Butz, A.: Overtrust in external cues of automated vehicles: an experimental investigation. In: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp. 211–221 (2019)

    Google Scholar 

  16. Nguyen, T. T., Holländer, K., Hoggenmueller, M., Parker, C., Tomitsch, M.: Designing for projection-based communication between autonomous vehicles and pedestrians. In: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp. 284–294 (2019)

    Google Scholar 

  17. Bazilinskyy, P., Kooijman, L., Dodou, D., De Winter, J.C.F.: How should external human-machine interfaces behave? Examining the effects of colour, position, message, activation distance, vehicle yielding, and visual distraction among 1,434 participants. Appl. Ergon. 95, 103450 (2021)

    Google Scholar 

  18. Deb, S., Strawderman, L.J., Carruth, D.W.: Investigating pedestrian suggestions for external features on fully autonomous vehicles: a virtual reality experiment. Transport. Res. F: Traffic Psychol. Behav. 59, 135–149 (2018)

    Article  Google Scholar 

  19. Hussein, A., Garcia, F., Armingol, J.M., Olaverri-Monreal, C.: P2V and V2P communication for pedestrian warning on the basis of autonomous vehicles. In: 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), pp. 2034–2039. IEEE (2016)

    Google Scholar 

  20. Dey, D., Martens, M., Wang, C., Ros, F., Terken, J. : Interface concepts for intent communication from autonomous vehicles to vulnerable road users. In: Adjunct Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp. 82–86 (2018)

    Google Scholar 

  21. Eisma, Y.B., Reiff, A., Kooijman, L., Dodou, D., De Winter, J.C.F.: External human-machine interfaces: effects of message perspective. Transport. Res. F: Traffic Psychol. Behav. 78, 30–41 (2021)

    Article  Google Scholar 

  22. Dey, D., Matviienko, A., Berger, M., Pfleging, B., Martens, M., Terken, J.: Communicating the intention of an automated vehicle to pedestrians: the contributions of eHMI and vehicle behavior. IT-Inf. Technol. 63(2), 123–141 (2021)

    Google Scholar 

  23. Rettenmaier, M., Schulze, J., Bengler, K.: How much space is required? Effect of distance, content, and color on external human-machine interface size. Information 11(7), 346 (2020)

    Article  Google Scholar 

  24. Werner, A.: New colours for autonomous driving: An evaluation of chromaticities for the external lighting equipment of autonomous vehicles. Colour Turn 1 (2018)

    Google Scholar 

  25. Löcken, A., Golling, C., Riener, A.: How should automated vehicles interact with pedestrians? A comparative analysis of interaction concepts in virtual reality. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp. 262–274 (2019)

    Google Scholar 

  26. Matthews, M., Chowdhary, G., Kieson, E.: Intent communication between autonomous vehicles and pedestrians. arXiv preprint arXiv:1708.07123 (2017)

  27. van Vastenhoven, A.: The effect of distance-dependent eHMIs on the interaction between automated vehicles and two pedestrians. Doctoral dissertation, Master’ thesis. Eindhoven University of Technology (2020)

    Google Scholar 

  28. Kyriakidis, M., et al.: A human factors perspective on automated driving. Theor. Issues Ergon. Sci. 20(3), 223–249 (2019)

    Article  Google Scholar 

  29. Asha, A.Z., Smith, C., Oehlberg, L., Somanath, S., Sharlin, E.: Views from the wheelchair: understanding interaction between autonomous vehicle and pedestrians with reduced mobility. In: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1–8 (2020)

    Google Scholar 

  30. 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 (2020)

    Google Scholar 

  31. Colley, M., Walch, M., Gugenheimer, J., Rukzio, E.: Including people with impairments from the start: external communication of autonomous vehicles. In: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings, pp. 307–314 (2019)

    Google Scholar 

  32. Bhagavathula, R., Williams, B., Owens, J., Gibbons, R.: The reality of virtual reality: a comparison of pedestrian behavior in real and virtual environments. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 62, no. 1, pp. 2056–2060. SAGE Publications, Los Angeles (2018)

    Google Scholar 

  33. 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, pp. 65–73 (2017)

    Google Scholar 

  34. Doric, I., et al.: A novel approach for researching crossing behavior and risk acceptance: the pedestrian simulator. In: Adjunct Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp. 39–44 (2016)

    Google Scholar 

  35. Schmidt, H., Terwilliger, J., AlAdawy, D., Fridman, L.: Hacking nonverbal communication between pedestrians and vehicles in virtual reality. arXiv preprint arXiv:1904.01931 (2019)

  36. Kooijman, L., Happee, R., de Winter, J.C.: How do eHMIs affect pedestrians’ crossing behavior? A study using a head-mounted display combined with a motion suit. Information 10(12), 386 (2019)

    Article  Google Scholar 

  37. Feick, M., Kleer, N., Tang, A., Krüger, A: The virtual reality questionnaire toolkit. In Adjunct Publication of the 33rd Annual ACM Symposium on User Interface Software and Technology, pp. 68–69 (2020)

    Google Scholar 

  38. Hartmann, B., Abdulla, L., Mittal, M., Klemmer, S.R.: Authoring sensor-based interactions by demonstration with direct manipulation and pattern recognition. In: Proceedings of CHI 2007, pp. 145–154. ACM (2007)

    Google Scholar 

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Authors and Affiliations

  1. Department of Computer Graphics Technology, Purdue University, West Lafayette, IN, USA

    Xiaolei Guo, Dayu Wan, Christos Mousas & Yingjie Chen

  2. Department of Computer Engineering, Rochester Institute of Technology, Rochester, NY, USA

    Dongfang Liu

Authors
  1. Xiaolei Guo
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  2. Dayu Wan
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  3. Dongfang Liu
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  4. Christos Mousas
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  5. Yingjie Chen
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Corresponding author

Correspondence to Yingjie Chen .

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Editors and Affiliations

  1. Technische Universität Ilmenau, Ilmenau, Germany

    Heidi Krömker

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Guo, X., Wan, D., Liu, D., Mousas, C., Chen, Y. (2022). HAVIT: A VR-Based Platform to Support Human-Autonomous Vehicle Interaction Study. In: Krömker, H. (eds) HCI in Mobility, Transport, and Automotive Systems. HCII 2022. Lecture Notes in Computer Science, vol 13335. Springer, Cham. https://doi.org/10.1007/978-3-031-04987-3_25

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  • DOI: https://doi.org/10.1007/978-3-031-04987-3_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-04986-6

  • Online ISBN: 978-3-031-04987-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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