Autonomous driving paper index
When Trust Breaks: A Framework For Analyzing And Understanding Trust Violation And Repair In Sociotechnical Systems
One-line summary
This paper presents a systematic literature synthesis of 62 studies to understand how trust violations and repair are conceptualized when technology plays a meaningful role.
Engineering notes
Key topics: autonomous driving. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
Trust violations in sociotechnical systems are becoming increasingly visible as AI systems take on advisory and decision-making roles in everyday life. When these systems fail, users must interpret what went wrong and decide whether to continue relying on them. Yet IS research has largely focused on trust formation, leaving the processes through which trust is broken, and potentially repaired, undertheorized. Meanwhile, adjacent fields have produced fragmented insights into trust violations and the mechanisms used to repair them. This paper presents a systematic literature synthesis of 62 studies to understand how trust violations and repair are conceptualized when technology plays a meaningful role. We identify four core stages that structure trust breakdown and recovery: the violation incident, the trustor sensemaking, the violator reaction, and the recalibrated trust outcome. We consolidate these insights into a process-oriented framework and guiding questions, outlining implications for human-AI collaboration and future IS research.
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