An Eye Gaze Heatmap Analysis of Uncertainty Head-Up Display Designs for Conditional Automated Driving
Gerber, Michael A., Schroeter, Ronald, Johnson, Daniel, Janssen, Christian, Rakotonirainy, Andry, Kuo, Jonny, & Lenne, Mike (2024) An Eye Gaze Heatmap Analysis of Uncertainty Head-Up Display Designs for Conditional Automated Driving. In Mueller, Florian Floyd, Kyburz, Penny, Williamson, Julie R., Sas, Corina, Wilson, Max L., Toups Dugas, Phoebe, et al. (Eds.) CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), United States of America.
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Description
This paper reports results from a high-fidelity driving simulator study (N=215) about a head-up display (HUD) that conveys a conditional automated vehicle’s dynamic “uncertainty” about the current situation while fallback drivers watch entertaining videos. We compared (between-group) three design interventions: display (a bar visualisation of uncertainty close to the video), interruption (interrupting the video during uncertain situations), and combination (a combination of both), against a baseline (video-only). We visualised eye-tracking data to conduct a heatmap analysis of the four groups’ gaze behaviour over time. We found interruptions initiated a phase during which participants interleaved their attention between monitoring and entertainment. This improved monitoring behaviour was more pronounced in combination compared to interruption, suggesting pre-warning interruptions have positive effects. The same addition had negative effects without interruptions (comparing baseline & display). Intermittent interruptions may have safety benefits over placing additional peripheral displays without compromising usability.
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| ID Code: | 248964 | ||||||||
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| Item Type: | Chapter in Book, Report or Conference volume (Conference contribution) | ||||||||
| Series Name: | Conference on Human Factors in Computing Systems - Proceedings | ||||||||
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| Measurements or Duration: | 16 pages | ||||||||
| Event Title: | CHI Conference on Human Factors in Computing Systems | ||||||||
| Event Dates: | 2024-05-11 - 2024-05-16 | ||||||||
| Event Location: | Honolulu, United States | ||||||||
| DOI: | 10.1145/3613904.3642219 | ||||||||
| ISBN: | 979-8-4007-0330-0 | ||||||||
| Pure ID: | 170689310 | ||||||||
| Divisions: | Current > Research Centres > Centre for Future Mobility/CARRSQ Current > QUT Faculties and Divisions > Faculty of Science Current > Schools > School of Computer Science Current > QUT Faculties and Divisions > Faculty of Health Current > Schools > School of Psychology & Counselling |
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| Funding Information: | This work is funded from an Australian Research Council's Linkage Project funding scheme (project number LP150100979). We thank Seeing Machines Ltd. for their support of the project and for making the Driver Monitoring System (DMS) available in our Advanced Driving Simulator. Also, a special thanks to SensoDrive GmbH, Dr. Xiaomeng Li, Alice Conant, Mohammad Faramarzian, Wanda Griffin, Adrian Wilson, Dr. Sebastien Demmel, Dr. Sepehr Ghasemi Dehkordi, Jorge Luis Prado Gaytan, Julia Vehns and Kim Smith. | ||||||||
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| Copyright Owner: | 2024 Owner/Authors | ||||||||
| Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||||||||
| Deposited On: | 11 Jun 2024 11:45 | ||||||||
| Last Modified: | 08 Nov 2026 18:39 |
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