Skip to main content

Is This My Ride? AV Braking Behavior from the Perspective of Waiting Ride Hailing Customers

  • Conference paper
  • First Online:
HCI International 2022 – Late Breaking Posters (HCII 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1655))

Included in the following conference series:

  • 1271 Accesses

Abstract

In virtual stop (vStop) pick-up scenarios the shared automated vehicle’s (SAV) approaching behavior as implicit communication to the awaiting customer is an important factor to build trust in the vehicle. Identifying the SAV timely could also help users getting ready for boarding and foster a positive perception of the automated service. An online study was conducted to identify trust building, information enhancing and collaboration fostering vehicle braking dynamics from the perspective of waiting customers. 102 participants viewed videos with three different SAV longitudinal braking dynamics in combination with three different conventional light signals. Results showed a user preference for defensive braking to approach flexible pick-up locations curbside. This complements the vehicle passengers’ desires for smooth driving dynamics. Additionally, turn indicator light signals as explicit communication received significantly higher ratings than only implicit communication in the pick-up scenario. Findings add value to understanding SAV behavior when approaching vStops and help designing coherent explicit and implicit communication of SAVs when interacting with surrounding traffic participants in pick-up scenarios.

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 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
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. Martinez, L.M., Viegas, J.M.: Assessing the impacts of deploying a shared self-driving urban mobility system: an agent-based model applied to the city of Lisbon, Portugal. Int. J. Transp. Sci. Technol. 6(1), 13–27 (2017). https://doi.org/10.1016/j.ijtst.2017.05.005

    Article  Google Scholar 

  2. Herminghaus, S.: Mean field theory of demand responsive ride pooling systems. Transp. Res. Part A: Pol. Pract. 119, 15–28 (2019). https://doi.org/10.1016/j.tra.2018.10.028

    Article  Google Scholar 

  3. Niculescu, A.I., Dix, A., Yeo, K.H.: Are you ready for a drive? In: Mark, G., et al. (eds.) Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. CHI ‘17: CHI Conference on Human Factors in Computing Systems, Denver Colorado USA, 06 05 2017 11 05 2017, New York, NY, USA, pp. 2810–2817. ACM (2017). doi: https://doi.org/10.1145/3027063.3053182

  4. Kemper, A., Bubb, I., Kriebel, E., Müller, A.: Identifikation von kritischen Interaktionen des bedarfsgerechten ÖPNV mit autonom betriebenen Fahrzeugen [Identification of Critical Interactions in Demand Responsive Public Transport with Autonomously Operated Vehicles]. In: 66. Frühjahrskongress der Gesellschaft für Arbeitswissenschaft 2020 (2020)

    Google Scholar 

  5. Al-Turki, M., Ratrout, N.T., Rahman, S.M., Reza, I.: Impacts of autonomous vehicles on traffic flow characteristics under mixed traffic environment: future perspectives. Sustainability 13(19), 11052 (2021). https://doi.org/10.3390/su131911052

    Article  Google Scholar 

  6. Hub, F., Wilbrink, M., Kettwich, C., Oehl, M.: Designing ride access points for shared automated vehicles - an early stage prototype evaluation. In: Stephanidis, C., Antona, M., Ntoa, S. (eds.) HCII 2020. CCIS, vol. 1294, pp. 560–567. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-60703-6_72

    Chapter  Google Scholar 

  7. Risto, M., Emmenegger, C., Vinkhuyzen, E., Cefkin, M., Hollan, J.: Human-vehicle interfaces: the power of vehicle movement gestures in human road user coordination. In: Proceedings of the 9th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design: driving assessment 2017. Driving Assessment Conference, Manchester Village, Vermont, USA, 26 June 2017–29 June 2017, pp. 186–192. University of Iowa, Iowa City, Iowa (2017). https://doi.org/10.17077/drivingassessment.1633

  8. Bazilinskyy, P., Sakuma, T., de Winter, J.: What driving style makes pedestrians think a passing vehicle is driving automatically? Appl. Ergon. 95, 103428 (2021). https://doi.org/10.1016/j.apergo.2021.103428

    Article  Google Scholar 

  9. Jayaraman, S.K., et al.: Pedestrian trust in automated vehicles: role of traffic signal and AV driving behavior. Front. Robot. AI 6, 117 (2019). https://doi.org/10.3389/frobt.2019.00117

    Article  Google Scholar 

  10. Ekman, F., Johansson, M., Bligård, L.-O., Karlsson, M., Strömberg, H.: Exploring automated vehicle driving styles as a source of trust information. Transport. Res. F: Traffic Psychol. Behav. 65, 268–279 (2019). https://doi.org/10.1016/j.trf.2019.07.026

    Article  Google Scholar 

  11. Lee, Y.M., et al.: Understanding the messages conveyed by automated vehicles. In: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. AutomotiveUI 2019: 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Utrecht Netherlands, 21 09 2019 25 09 2019, New York, NY, USA, pp. 134–143. ACM (2019). https://doi.org/10.1145/3342197.3344546

  12. Franke, T., Attig, C., Wessel, D.: A personal resource for technology interaction: development and validation of the affinity for technology interaction (ATI) scale. Int. J. Hum.-Comput. Interact. 35(6), 456–467 (2019). https://doi.org/10.1080/10447318.2018.1456150

    Article  Google Scholar 

  13. Dietrich, A., Maruhn, P., Schwarze, L., Bengler, K.: Implicit communication of automated vehicles in urban scenarios: effects of pitch and deceleration on pedestrian crossing behavior. In: Ahram, T., Karwowski, W., Pickl, S., Taiar, R. (eds.) IHSED 2019. AISC, vol. 1026, pp. 176–181. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-27928-8_27

    Chapter  Google Scholar 

  14. 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. Transport. Res. F: Traffic Psychol. Behav. 62, 757–768 (2019). https://doi.org/10.1016/j.trf.2019.03.006

    Article  Google Scholar 

  15. Scherer, S., Schubert, D., Dettmann, A., Hartwich, F., Bullinger, A.C.: Wie will der” Fahrer” automatisiert gefahren werden? Überprüfung verschiedener Fahrstile hinsichtlich des Komforterlebens [How Does the Driver Want to Be Driven? An Evaluation of Different Driving Styles Regarding the Experienced Driving Comfort]. Tagungsband 32. VDI/VW-Gemeinschaftstagung Fahrerassistenzsysteme und automatisiertes Fahren 8, 2016 (2016)

    Google Scholar 

  16. Körber, M.: Theoretical considerations and development of a questionnaire to measure trust in automation. In: Bagnara, S., Tartaglia, R., Albolino, S., Alexander, T., Fujita, Y. (eds.) IEA 2018. AISC, vol. 823, pp. 13–30. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-96074-6_2

    Chapter  Google Scholar 

  17. Cohen, J.: Statistical Power Analysis for the Behavioral Sciences. Routledge (2013)

    Google Scholar 

  18. Pagano, R.R.: Understanding Statistics in the Behavioral Sciences, 10th edn. Wadsworth Cengage, Australia (2013)

    Google Scholar 

Download references

Acknowledgements

This research was funded by the German Federal Ministry for Digital and Transport within the research project “ViVre” (Grant no.: 01MM19014A).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fabian Hub .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Hub, F., Heß, S., Wilbrink, M., Oehl, M. (2022). Is This My Ride? AV Braking Behavior from the Perspective of Waiting Ride Hailing Customers. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2022 – Late Breaking Posters. HCII 2022. Communications in Computer and Information Science, vol 1655. Springer, Cham. https://doi.org/10.1007/978-3-031-19682-9_48

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-19682-9_48

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-19681-2

  • Online ISBN: 978-3-031-19682-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics