5205 Toward Maintaining Appropriate Driver's Trust in and Reliance on a Forward Vehicle Collision Avoidance System
DOI: 10.1299/jsmetld.2008.17.439
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Summary
This paper addresses the critical challenge of maintaining appropriate driver trust and reliance in forward vehicle collision avoidance systems, specifically focusing on the concept of "kashin" (over-trust). The authors argue that the practical implementation of autonomous collision avoidance systems is hindered by concerns that drivers may develop excessive trust or reliance, leading to unsafe behaviors. The study aims to clarify the complex relationships among over-trust, over-reliance, complacency, and risk compensation to provide designers with guidelines for preventing these issues. The authors employ a theoretical and conceptual analysis rather than empirical experimentation. They distinguish between over-trust as an attitude (holding excessive confidence) and over-trust as a behavior (inappropriate reliance resulting from that attitude). Drawing on Lee and Moray’s model of trust, the paper categorizes trust into four dimensions: fundamental, performance (capability), method, and purpose. The analysis explores how misunderstandings in these dimensions—such as believing a system can handle all scenarios (performance) or misunderstanding its intended function (purpose)—lead to over-trust. The paper also examines how driver mental models are formed through system explanations, training, and usage experience, noting that errors in understanding system limits are inherent to human interaction with automation. Key findings indicate that over-trust manifests in diverse ways depending on the target of trust (the system, the vehicle, other drivers, or the environment) and the dimension of misunderstanding. The authors identify two primary behavioral changes resulting from over-trust: risk compensation and decreased vigilance. Risk compensation involves drivers engaging in riskier behaviors, such as reducing following distances, because they believe the system will prevent accidents; this is characterized as a "commission error" where the driver actively takes inappropriate actions. Decreased vigilance, or complacency, involves a failure to monitor the environment because the driver assumes the system is handling the task; this is characterized as an "omission error." The paper further distinguishes between systems with high activation frequency (like Adaptive Cruise Control), which foster trust through repeated experience, and emergency-only systems (like airbags), where trust is formed without direct operational experience, leading to different types of misconceptions. The significance of this work lies in its framework for designing collision avoidance systems that mitigate inappropriate driver reliance. The authors conclude that over-trust arises from discrepancies between the driver’s mental model and the system’s actual behavior. To prevent over-trust, designers must ensure that system interfaces and explanations accurately convey the system’s purpose, methods, and performance limits. Specifically, for collision avoidance systems, it is crucial to communicate the system’s operational boundaries clearly so that drivers do not develop the misconception that the system can replace their own braking actions in all scenarios. By clarifying these concepts, the paper provides a foundation for creating safer human-machine interactions in automated driving environments.
Key finding
Over-trust in collision avoidance systems stems from mismatches between driver mental models and system realities across performance, method, and purpose dimensions, requiring careful design to prevent inappropriate reliance.
Methodology
theoretical
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via author_sweep_intake on 2026-05-28.
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | author_sweep | — | — | 2 | 2026-05-28 |
| archive | success | canonical_url | — | — | 1 | 2026-06-04 |
| extract | success | cached | — | — | 3 | 2026-06-10 |
| clean | success | clean | — | — | 1 | 2026-06-04 |
| chunk | success | chunk | — | — | 1 | 2026-06-04 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-04 |
| enrich | success | — | — | — | 1 | 2026-05-28 |
| promote | success | — | — | — | 1 | 2026-06-04 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 2 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 15 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
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