An Eye Gaze Heatmap Analysis of Uncertainty Head-Up Display Designs for Conditional Automated Driving
CoRR(2024)
摘要
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.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要