Objective:
Design an intuitive interaction between the automated vehicle and its ‘driver’and all other road users (including VRUs). C-DMA Vehicles offer the full flexibility of automated driving with additional benefits. Vehicles can be operated in manual mode, but when conditions allow it or the user desires so, we can shift to other automation levels, including SAE level 5, in which vehicles can be dispatched to required locations, automatically transporting people or goods, or efficiently using parking places, saving space. In that case, the driver becomes a passenger or user and main HF questions are restricted to physical and social safety, acceptance, comfort, and payment. We have to configure a fail-safe driver-vehicle symbiosis in which the driver as well as the surrounding vehicles, pedestrians and cyclists know exactly what the vehicle will do under what circumstances, and in which cooperative technology is flexibly used, thereby guaranteeing efficiency, safety and comfort.
Research questions:
1. How can we design (behaviour of) automated vehicles in which drivers feel safe and comfortable, in
which they do not unnecessarily overrule the system and understand possible vehicle limitations? This
includes designing intuitive dual-mode transitions (manual to automated driving and vice versa) and an
intuitive interface.
2. How do other road users respond to and interact with (partially) automated vehicles, and how can
automated vehicles ‘behave’ such that they are predictable to other road users (non-automated
vehicles, cyclists and pedestrians) and ensure a safe interaction?
Staff:
University of Twente
of Technology
of Technology
Eindhoven University
of Technology
of Technology
Journal papers:
Boelhouwer, A., van den Beukel, A. P., van der Voort, M. C., Verwey, W.B., & Martens, M. H. (2020). Supporting Drivers of Partially Automated Cars
Through an Adaptive Digital In-Car Tutor. Information,11(185), 1-22.
Boelhouwer, A., van den Beukel, A. P., van der Voort, M. C., Hottentot, C., de Wit, R.W., & Martens, M. H. (2020). How are car buyers and car sellers currently informed about ADAS? An investigation among drivers and car sellers in the Netherlands. Transportation Research Interdisciplinary Perspectives, 4, 1-19.
Boelhouwer, A., van den Beukel, A. P., van der Voort, M. C., & Martens, M. H. (2019). Should I take over? Does system knowledge help drivers in making take-over decisions while driving a partially automated car? Transportation Research Part F: Traffic Psychology and Behaviour, 60, 669–684. https://doi.org/10.1016/j.trf.2018.11.016
Dey, D., Martens, M., Eggen, B., & Terken, J. (2019). Pedestrian road-crossing willingness as a function of vehicle automation, external appearance, and driving behaviour. Transportation Research Part F: Traffic Psychology and Behaviour, 65, 191–205.
Walker, F., Hauslbauer, A., Preciado, D., Martens, M. H., & Verwey, W. (2019). Enhanced perception of risk in a driving simulator. International Journal of Human Factors Modelling and Simulation, 7(2), 100-118
Walker, F., Wang, J., Martens, M. H., & Verwey, W. (2019). Gaze behaviour and electrodermal activity: Objective measures of drivers’ trust in automated vehicles. Transportation research part F: traffic psychology and behaviour, 64, 401-412
Walker, F., Boelhouwer, A., Alkim, T., Verwey, W. B., & Martens, M. H. (2018). Changes in Trust after Driving Level 2 Automated Cars. Journal of advanced transportation, 2018, 1-9.
Conference papers:
Boelhouwer, A., Van den BeukeL, A.P., Van der Voort, M.C., & Martens, M.H. (2020-In Press). Determining Environment Factors That Increase the Complexity of Driving Situations. Proceedings of the AHFE 2020 International Conference on Human Factors in Transportation.
Boelhouwer, A., van den Beukel, A.P., Van Der Voort, M.C., & Martens, M.H. (2019) Designing a Naturalistic In-Car Tutor System for the Initial Use of Partially Automated Cars : Taking Inspiration from Driving Instructors. AutomotiveUI ’19 Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings. ACM, pp 410–414.
Boelhouwer, A., van Dijk, J., & Martens, M.H. (2019). Turmoil behind the Automated Wheel An embodied perspective on current HMI developments in partially automated vehicles. HCI in Mobility, Transport, and Automotive Systems. Springer, Cham, pp 3–25.
Ackermans, S., Dey, D., Ruijten, P., Cuijpers, R. H., & Pfleging, B. (2020). The Effects of Explicit Intention Communication, Conspicuous Sensors, and Pedestrian Attitude in Interactions with Automated Vehicles. In CHI Conference on Human Factors in Computing Systems (pp. 1–14). Honolulu.
Dey, D., Habibovic, A., Pfleging, B., Martens, M., & Terken, J. (2020). Color and Animation Preferences for a Light Band eHMI in Interactions Between Automated Vehicles and Pedestrians. In CHI Conference on Human Factors in Computing Systems (pp. 1–13). Hawai’i, Honolulu, United States.
Dey, D., Walker, F., Martens, M., & Terken, J. (2019). Gaze patterns in pedestrian interaction with vehicles: Towards effective design of external human-machine interfaces for automated vehicles. In Proceedings – 11th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2019 (pp. 369–378).
Dey*, D., Walker*, F., Martens, M. H., & Terken, J. (2019). Gaze Behavior Patterns in Pedestrian Interaction with Vehicles. In Proc. AutoUI, Utrecht, NL, 22-25 September, 2019. *Co-first authors
Dey, D.& Terken, J.M.B. (2017). Pedestrian interaction with vehicles: roles of explicit and implicit communication. AutomotiveUI ’17 Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 24-27 September 2017, Oldenburg, Germany (pp. 109-113). New York: Association for Computing Machinery, Inc.
Dey, D., Martens, M., Eggen, J.H.& Terken, J.M.B. (2017). The impact of vehicle appearance and vehicle behavior on pedestrian interaction with autonomous vehicles. AutomotiveUI ’17 Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct, 24-27 September 2017, Oldenburg, Germany (pp. 158-162). New York: Association for Computing Machinery, Inc.
Dey, D., Habibovic, A., Klingegård, M., Lundgren, V. M., Andersson, J., & Schieben, A. (2018). Workshop on Methodology: Evaluating Interactions between Automated Vehicles and Other Road Users – What Works in Practice? In Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications – AutomotiveUI ’18 (pp. 17–22).
Dey, D., Martens, M., Wang, C., Ros, F., Terken, J.M.B. (2018). Interface Concepts for Intent Communication from Autonomous Vehicles to Vulnerable Road Users. AutomotiveUI ‘18 Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct, 23-25 September 2018, Toronto, Canada
Walker*, F., Dey*, D., Martens, M. H., Pfleging, B., Eggen, B., & Terken, J. (2019). Feeling-of-Safety Slider: Measuring pedestrian willingness to cross roads in field interactions with vehicles. In Proc. CHI 2019, Glasgow, UK, 4-9 May, 2019. *Co-first authors
Walker, F., Verwey, W., & Martens, M. Gaze behaviour as a measure of trust in automated vehicles. In Proc. 6th Humanist Conference, The Hague, Netherlands, 13-14 June, 2018
Prizes and awards:
D. Dey: Best Paper Award (CHI 2020, Honolulu, Hawaii)
A. Boelhouwer: Honourable mention for best Work-In-Progress paper 2019 (AutomotiveUI ’19, Utrecht, NL)
F. Walker: Award for Best Poster 2018 (6th BMW Summer School: Intelligent Cars on Digital Roads, Munich, DE)
F. Walker: Award for Best Presenter 2018 (6th Humanist Conference, Den Haag, NL)
F. Walker: Best Poster Yearly I-Cave meeting 2018