How to Display Vehicle Information to Users of Automated Vehicles When Conducting Non-Driving-Related Activities

被引:1
作者
Dandekar A. [1 ]
Mathis L.-A. [2 ]
Berger M. [3 ]
Pfleging B. [1 ,4 ]
机构
[1] University of Stuttgart, Institute of Human Factors and Technology Management
[2] Eindhoven University of Technology, The Netherlands and ruwido austria GmbH
[3] TU Bergakademie Freiberg, Germany and Eindhoven University of Technology
关键词
Automated vehicles; fully automated driving; light bar displays; non-driving-related activities; trust in automation; vehicle information displays; windshield displays;
D O I
10.1145/3546741
中图分类号
学科分类号
摘要
Automated vehicles (AVs) are expected to enable users to engage in non-driving-related activities (NDRAs). However, users do not easily trust an automated vehicle which poses new challenges for automotive human-machine interfaces (HMIs). Over-presenting vehicle information can distract users from NDRAs, and under-presentation can impact trust and user experience (UX) negatively. To investigate how to best present vehicle information to foster users’ trust and UX while performing NDRAs, we designed two in-vehicle HMI concepts: 1) A colored and animated light bar display around the windshield and 2) a windshield display interface presenting pictograms and numbers. Results from a simulator study (N = 18) indicate that both concepts contribute to a high trust level and UX while not affecting the NDRA performance compared to the baseline of not showing vehicle information. In addition, the light bar provides better UX than the windshield display and is also preferred by users. With our findings, we contribute to the effective design of presenting vehicle information in automated vehicles. © 2022 Copyright held by the owner/author(s).
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  • [1] 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, (2015)
  • [2] Broy N., Guo M., Schneegass S., Pfleging B., Alt F., Introducing Novel Technologies in the Car: Conducting a Real-World Study to Test 3D Dashboards, Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (Nottingham, United Kingdom) (AutomotiveUI’15), pp. 179-186, (2015)
  • [3] Bubb H., Fahrerassistenz - primaer ein Beitrag zum Komfort oder fuer die Sicherheit?, Proc. Der Fahrer im 21. Jahrhundert’03, 1768, pp. 25-44, (2003)
  • [4] Caird J.K., Horrey W.J., Edwards C.J., Effects of Conformal and Nonconformal Vision Enhancement Systems on Older-Driver Performance, Transportation Research Record, 1759, 1, pp. 38-45, (2001)
  • [5] Carsten O., Martens M.H., How can humans understand their automated cars? HMI principles, problems and solutions, Cognition, Technology & Work, 21, 1, pp. 3-20, (2019)
  • [6] Colley M., Krauss S., Lanzer M., Rukzio E., How Should Automated Vehicles Communicate Critical Situations? A Comparative Analysis of Visualization Concepts, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 5, 3, (2021)
  • [7] Commission Recommendation of 22 December 2006 on Safe and Efficient In-Vehicle Information and Communication Systems: Update of the European Statement of Principles on Human Machine Interface, (2007)
  • [8] Dandekar A., Mathis L.-A., Pfleging B., A Platform for Rapid Prototyping and Evaluation of Concepts for Interactive In-Vehicle Displays for Automated Vehicles, Mensch und Computer 2021 - Workshopband, (2021)
  • [9] Detjen H., Pfleging B., Schneegass S., A Wizard of Oz Field Study to Understand Non-Driving-Related Activities, Trust, and Acceptance of Automated Vehicles, 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (Virtual Event, DC, USA) (AutomotiveUI’20), pp. 19-29, (2020)
  • [10] Dey D., Habibovic A., Pfleging B., Martens M., Terken J., Color and Animation Preferences for a Light Band EHMI in Interactions Between Automated Vehicles and Pedestrians, Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1-13, (2020)