English

From Awareness to Intent: Mitigating Silent Driving System Failures through Prospective Situation Awareness Enhancing Interfaces

Human-Computer Interaction 2026-04-21 v1

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.

Keywords

Cite

@article{arxiv.2604.18449,
  title  = {From Awareness to Intent: Mitigating Silent Driving System Failures through Prospective Situation Awareness Enhancing Interfaces},
  author = {Jiyao Wang and Song Yan and Xiao Yang and Qihang He and Chenglin Liu and Ange Wang and Chenglin Chen and Zhenyu Wang and Dengbo He},
  journal= {arXiv preprint arXiv:2604.18449},
  year   = {2026}
}

Comments

Accepted by CHI2026

R2 v1 2026-07-01T12:18:40.530Z