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

要旨

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.

著者
Michael A.. Gerber
QUT, Brisbane, Australia
Ronald Schroeter
Queensland University of Technology (QUT), Brisbane, Australia
Daniel Johnson
QUT, Brisbane, Australia
Christian P.. Janssen
Utrecht University, Utrecht, Netherlands
Andry Rakotonirainy
Queensland University of Technology (QUT), Brisbane, Queensland, Australia
Jonny Kuo
Seeing Machines Ltd., Canberra, Australia
Mike Lenné
Seeing Machines, Melbourne, Australia
論文URL

https://doi.org/10.1145/3613904.3642219

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Drivers and Pedestrians B

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5 件の発表
2024-05-14 23:00:00
2024-05-15 00:20:00