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Exploring Holistic HMI Design for Automated Vehicles: Insights from a Participatory Workshop to Bridge In-Vehicle and External Communication (2403.19153v1)

Published 28 Mar 2024 in cs.HC

Abstract: Human-Machine Interfaces (HMIs) for automated vehicles (AVs) are typically divided into two categories: internal HMIs for interactions within the vehicle, and external HMIs for communication with other road users. In this work, we examine the prospects of bridging these two seemingly distinct domains. Through a participatory workshop with automotive user interface researchers and practitioners, we facilitated a critical exploration of holistic HMI design by having workshop participants collaboratively develop interaction scenarios involving AVs, in-vehicle users, and external road users. The discussion offers insights into the escalation of interface elements as an HMI design strategy, the direct interactions between different users, and an expanded understanding of holistic HMI design. This work reflects a collaborative effort to understand the practical aspects of this holistic design approach, offering new perspectives and encouraging further investigation into this underexplored aspect of automotive user interfaces.

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References (38)
  1. 2019. Road Vehicles: Human Performance and State in the Context of Automated Driving: Part 2–Considerations in Designing Experiments to Investigate Transition Processes. ISO/PRF TR 21959-2. International Organization for Standardization, Geneva, Switzerland.
  2. Russell L. Ackoff. 1973. Science in the Systems Age: Beyond IE, OR, and MS. Oper. Res. 21 (1973), 661–671.
  3. Efficient communication of automated vehicles and manually driven vehicles through an external Human-Machine Interface (eHMI): Evaluation at T-junctions. In HCI International 2021-Posters: 23rd HCI International Conference, HCII 2021, Virtual Event, July 24–29, 2021, Proceedings, Part III 23. Springer, 224–232.
  4. Liam Bannon. 2011. Reimagining HCI: Toward a More Human-Centered Perspective. (2011). https://doi.org/10.1145/1978822.1978833
  5. From HMI to HMIs: Towards an HMI framework for automated driving. Information (Switzerland) 11 (2 2020). Issue 2. https://doi.org/10.3390/info11020061
  6. An analysis framework for user experience (UX)studies: a green paper.
  7. The Halting Problem: Video Analysis of Self-Driving Cars in Traffic. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (Hamburg, Germany) (CHI ’23). Association for Computing Machinery, New York, NY, USA, Article 12, 14 pages. https://doi.org/10.1145/3544548.3581045
  8. Research and Design Considerations for Presentation of Non-Safety Related Information via In-Vehicle Displays during Automated Driving. Applied Sciences (Switzerland) 12, 20 (10 2022). https://doi.org/10.3390/app122010538
  9. Investigating the Effects of External Communication and Automation Behavior on Manual Drivers at Intersections. Proc. ACM Hum.-Comput. Interact 6 (2022), 1–16.
  10. User gesticulation inside an automated vehicle with external communication can cause confusion in pedestrians and a lower willingness to cross. Transportation Research Part F: Traffic Psychology and Behaviour 87 (2022), 120–137. https://doi.org/10.1016/j.trf.2022.03.011
  11. R. F. Dam and Y. S. Teo. 2023. Empathy Map – Why and How to Use It. Interaction Design Foundation - IxDF (2023). https://www.interaction-design.org/literature/article/empathy-map-why-and-how-to-use-it
  12. How to Increase Automated Vehicles’ Acceptance through In-Vehicle Interaction Design: A Review. International Journal of Human-Computer Interaction 37, 4 (2021), 308–330. https://doi.org/10.1080/10447318.2020.1860517
  13. Taming the eHMI jungle: A classification taxonomy to guide, compare, and assess the design principles of automated vehicles’ external human-machine interfaces. Transportation Research Interdisciplinary Perspectives 7 (2020), 100174.
  14. Holistic HMI Design for Automated Vehicles: Bridging In-Vehicle and External Communication. In Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (Ingolstadt, Germany) (AutomotiveUI ’23 Adjunct). Association for Computing Machinery, New York, NY, USA, 237–240. https://doi.org/10.1145/3581961.3609837
  15. Ranking Crossing Scenario Complexity for eHMIs Testing: A Virtual Reality Study. Multimodal Technologies and Interaction 7, 2 (2023). https://doi.org/10.3390/mti7020016
  16. The potential of collective perception in vehicular ad-hoc networks. In 2015 14th International Conference on ITS Telecommunications (ITST). IEEE, 1–5.
  17. Vehicle-to-vehicle communications: readiness of V2V technology for application. Technical Report. United States. National Highway Traffic Safety Administration.
  18. Marc Hassenzahl. 2008. User Experience (UX): Towards an experiential perspective on product quality. IHM 2008.
  19. Marc Hassenzahl. 2010. Experience Design: Technology for All the Right Reasons. Synthesis Lectures on Human-Centered Informatics 3 (1 2010), 1–95. Issue 1. https://doi.org/10.2200/s00261ed1v01y201003hci008
  20. A taxonomy of vulnerable road users for hci based on a systematic literature review. In Conference on Human Factors in Computing Systems - Proceedings. https://doi.org/10.1145/3411764.3445480
  21. Save the Smombies: App-Assisted Street Crossing. In 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services (Oldenburg, Germany) (MobileHCI ’20). Association for Computing Machinery, New York, NY, USA, Article 22, 11 pages. https://doi.org/10.1145/3379503.3403547
  22. Evangelos Karapanos. 2013. Modeling Users’ Experiences with Interactive Systems. https://doi.org/10.1007/978-3-642-31000-3
  23. Connected vehicles: Solutions and challenges. IEEE internet of things journal 1, 4 (2014), 289–299.
  24. Effect of external HMI for automated vehicles (AVs) on drivers’ ability to infer the AV motion intention: A field experiment. Transportation research part F: traffic psychology and behaviour 82 (2021), 32–42.
  25. To live (code) or to not: A new method for coding in qualitative research. Qualitative Social Work 19, 4 (2020), 630–644. https://doi.org/10.1177/1473325019840394 arXiv:https://doi.org/10.1177/1473325019840394
  26. Sébastien Point and Yehuda Baruch. 2023. (Re)thinking transcription strategies: Current challenges and future research directions. Scandinavian Journal of Management 39, 2 (2023), 101272. https://doi.org/10.1016/j.scaman.2023.101272
  27. Autonomous Vehicle-Pedestrian Interaction Across Cultures: Towards Designing Better External Human Machine Interfaces (EHMIs). In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (Chi Ea ’20). Association for Computing Machinery, New York, NY, USA, 1–8. https://doi.org/10.1145/3334480.3382957
  28. SAE. 2021. Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles. J3016, SAE International (2021). https://doi.org/10.4271/J3016_202104
  29. Elizabeth B.-N. Sanders and Pieter Jan Stappers. 2014. Probes, toolkits and prototypes: three approaches to making in codesigning. CoDesign 10 (2014), 14 – 5. https://api.semanticscholar.org/CorpusID:108955372
  30. Vulnerable road users and the coming wave of automated vehicles: Expert perspectives. Transportation research interdisciplinary perspectives 9 (2021), 100293.
  31. Non-human Personas: Including Nature in the Participatory Design of Smart Cities. Interaction Design and Architecture(s) (12 2021), 102–130. Issue 50. https://doi.org/10.55612/s-5002-050-006
  32. A Review of Virtual Reality Studies on Autonomous Vehicle–Pedestrian Interaction. IEEE Transactions on Human-Machine Systems 51, 6 (2021), 641–652. https://doi.org/10.1109/thms.2021.3107517
  33. Scoping Out the Scalability Issues of Autonomous Vehicle-Pedestrian Interaction. In Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (Ingolstadt, Germany) (AutomotiveUI ’23). Association for Computing Machinery, New York, NY, USA, 167–177. https://doi.org/10.1145/3580585.3607167
  34. Crossing the Street Across the Globe: A Study on the Effects of eHMI on Pedestrians in the US, Germany and China. In International Conference on Human-Computer Interaction. Springer, 515–530.
  35. Marc Wilbrink et al. 2017. D1.1 Definition of interACT use cases and scenarios. https://elib.dlr.de/116445
  36. Terry Winograd. 1997. The design of interaction. Copernicus, USA, 149–161.
  37. Peter Wright and Mark Blythe. 2007. User Experience Research as an Inter-discipline: Towards a UX Manifesto, E.Law, A. Vermeeren, M. Hassenzahl, and M. Blythe (Eds.). Towards a UX Manifesto - Proceedings of a cost294-affiliated workshop on BHCI 2007, 65–70.
  38. User experience and the idea of design in HCI. Lecture Notes in Computer Science 3941 LNCS, 1–14. https://doi.org/10.1007/11752707_1
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