Skip to main content

Communicating Issues in Automated Driving to Surrounding Traffic - How should an Automated Vehicle Communicate a Minimum Risk Maneuver via eHMI and/or dHMI?

How Should an Automated Vehicle Communicate a Minimum Risk Maneuver via eHMI and/or dHMI?

  • Conference paper
  • First Online:
HCI International 2020 – Late Breaking Posters (HCII 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1294))

Included in the following conference series:

  • 1747 Accesses

Abstract

Cooperative automated vehicles (CAV) are not able to drive automated in all situations. Each vehicle has or is going to have its own operational design domain (ODD), which exactly specifies which situations can be handled, and which cannot. Vehicles of higher levels of automation according to SAE J3016 will try to take the driver back into the control loop if the vehicle approaches the border of its ODD by issuing a transition of control (ToC). If the driver is not responding, the vehicle will perform a minimum risk maneuver (MRM), where the CAV is stopping. Instead of looking at the internal HMI of single CAVs, the H2020 project TransAID focusses on the effects of automation limitations on traffic efficiency and safety. Besides helping the CAV to reduce negative impacts of such situations by infrastructure measures, also informing the surrounding vehicles about a CAV’s current issues and about its plans to solve them will most likely improve such situations. To approach this assumption, DLR conducted a first virtual reality study, where e.g. a 360° externally mounted LED light-band as external HMI (eHMI) of a CAV and specific vehicle movements as dynamic HMI (dHMI) are used in case it needs to perform an MRM. In the study, ten participants tested different variants and combinations. Preliminary results show that the use of an eHMI is a useful and informative approach.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Habibovic, A., et al.: Communicating intent of automated vehicles to pedestrians. Front. Psychol. 9, 1336 (2018). https://doi.org/10.3389/fpsyg.2018.01336

    Article  Google Scholar 

  2. Society of Automotive Engineers: Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles. SAE, Michigan (J3016_201806) (2018)

    Google Scholar 

  3. Maerivoet, S., et al.: TransAID deliverable 4.2 - preliminary simulation and assessment of enhanced traffic management measures (2019)

    Google Scholar 

  4. 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), 69–85 (2018). https://doi.org/10.1007/s10111-018-0521-z

    Article  Google Scholar 

  5. Bengler, K., Rettenmaier, M., Fritz, N., Feierle, A.: From HMI to HMIs: towards an HMI framework for automated driving. Information 11(2), 61 (2020). https://doi.org/10.3390/info11020061

    Article  Google Scholar 

  6. Schieben, A., et al.: Testing external HMI designs for automated vehicles - an overview on user study results from the EU project interACT, vol. 9. Tagung Automatisiertes Fahren, Munich, Germany (2019)

    Google Scholar 

  7. Bazilinskyy, P., Dodou, D., de Winter, J.: Survey on eHMI concepts: the effect of text, color, and perspective. Transp. Res. Part F Traffic Psychol. Behav. 67, 175–194 (2019). https://doi.org/10.1016/j.trf.2019.10.013

    Article  Google Scholar 

  8. Clamann, M., Aubert, M., Cummings, M.L.: Evaluation of vehicle-to-pedestrian communication displays for autonomous vehicles. In: 96th Annual Research Board Meeting, Washington, D.C., pp. 6–12 (2017)

    Google Scholar 

  9. Dietrich, A., Willrodt, J.-H., Wagner, K., Bengler, K.: Projection-based external human machine interfaces-enabling interaction between automated vehicles and pedestrians. In: Proceedings of the DSC 2018 Europe VR, Antibes, France (2018)

    Google Scholar 

  10. Sorokin, L., Chadowitz, R., Kauffmann, N.: A change of perspective. In: Brewster, F., et al. (ed.) Proceedings of the CHI Conference 2019, pp. 1–8, Glasgow, Scottland (2019)

    Google Scholar 

  11. Habibovic, A., Andersson, J., Nilsson, M., Lundgren, V.M., Nilsson, J.: Evaluating interactions with non-existing automated vehicles: three Wizard of Oz approaches. In: IEEE Intelligent Vehicles Symposium, pp. 32–37 (2016)

    Google Scholar 

  12. Beggiato, M., Hartwich, F., Schleinitz, K., Krems, J., Othersen, I., Petermann-Stock, I.: What would drivers like to know during automated driving? Information needs at different levels of automation. In: 7th Conference on Driver assistance, Munich, Germany (2017)

    Google Scholar 

  13. Kauffmann, N., Winkler, F., Naujoks, F., Vollrath, M.: “What makes a cooperative driver?” Identifying parameters of implicit and explicit forms of communication in a lane change scenario. Transp. Res. Part F Traffic Psychol. Behav. 58, 1031–1042 (2018). https://doi.org/10.1016/j.trf.2018.07.019

    Article  Google Scholar 

  14. Van der Laan, J.D., Heino, A., De Waard, D.: A simple procedure for the assessment of acceptance of advanced transport telematics. Transp. Res. Part C 5(1), 1–10 (1997)

    Article  Google Scholar 

  15. Laugwitz, B., Held, T., Schrepp, M.: Construction and evaluation of a user experience questionnaire. In: Holzinger, A. (ed.) USAB 2008. LNCS, vol. 5298, pp. 63–76. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-89350-9_6

    Chapter  Google Scholar 

Download references

Acknowledgements

The TransAID project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 723390.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Julian Schindler .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Schindler, J., Herbig, D.L., Lau, M., Oehl, M. (2020). Communicating Issues in Automated Driving to Surrounding Traffic - How should an Automated Vehicle Communicate a Minimum Risk Maneuver via eHMI and/or dHMI?. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2020 – Late Breaking Posters. HCII 2020. Communications in Computer and Information Science, vol 1294. Springer, Cham. https://doi.org/10.1007/978-3-030-60703-6_79

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-60703-6_79

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60702-9

  • Online ISBN: 978-3-030-60703-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics