An Eye Gaze Heatmap Analysis of Uncertainty Head-Up Display Designs for Conditional Automated Driving

, , , Janssen, Christian, , 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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13 citations in Scopus
11 citations in Web of Science®
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ID Code: 248964
Item Type: Chapter in Book, Report or Conference volume (Conference contribution)
Series Name: Conference on Human Factors in Computing Systems - Proceedings
ORCID iD:
Gerber, Michael A.orcid.org/0000-0001-7850-6050
Schroeter, Ronaldorcid.org/0000-0001-7990-1474
Johnson, Danielorcid.org/0000-0003-1088-3460
Rakotonirainy, Andryorcid.org/0000-0002-2144-4909
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
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.
Funding:
Copyright Owner: 2024 Owner/Authors
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Deposited On: 11 Jun 2024 11:45
Last Modified: 08 Nov 2026 18:39