From Awareness to Intent: Mitigating Silent Driving System Failures through Prospective Situation Awareness Enhancing Interfaces
Jiyao Wang, Song Yan, Xiao Yang, Qihang He, Chenglin Liu + 4 more
TLDR
This paper explores how Prospective Situation Awareness Enhancement (PSAE) interfaces improve driver takeover performance during silent automation failures.
Key contributions
- Conducted a 48-participant simulator study on AR HUD interfaces for silent failures.
- Showed Prospective Situation Awareness (SA) moderates interface impact on takeover performance.
- Perceptual cues effectively enhance SA; system intent communication builds driver trust.
- Identified neuroactivity as a potential correlate for driver situational awareness.
Why it matters
This paper addresses a critical safety gap in partially automated vehicles: silent failures. It provides crucial design insights for HMI to support drivers, improving safety and trust. The findings are vital for developing more transparent and effective autonomous driving systems.
Original Abstract
Silent automation failures, where a system fails to detect a hazard without warning, pose a critical safety challenge for partially automated vehicles. While research has mostly focused on takeover requests, how to support a driver in silent failure remains underexplored. We conducted a multi-modal driving simulator study with 48 participants to investigate how different Prospective Situation Awareness Enhancement (PSAE) interfaces, delivered via augmented reality head-up display, affect takeover performance. By integrating behavioral, subjective psychological, and physiological data, our analysis suggests that situational awareness (SA) serves as an important moderating factor through which PSAE interfaces improve takeover performance. Further, we found that providing perceptual cues was most effective in enhancing SA, while communicating system intent was superior for building trust. Finally, we identified a potential correlate of SA in the neuroactivity. Overall, this paper contributes to understanding how transparency-oriented interfaces may support drivers and provides design insights into HMI design for silent failures.
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