Usability testing of three visual HMIs for assisted driving: How design impacts driver distraction and mental models
DOI: 10.1080/00140139.2022.2136766
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Summary
This study investigates how different visual human-machine interface (HMI) designs for Adaptive Cruise Control (ACC) systems impact driver distraction and the formation of accurate mental models. As drivers transition to supervisory roles in assisted driving, they must monitor system status without excessive visual distraction. The authors address the lack of empirical research comparing existing HMI designs, which vary significantly in how they display target speed, headway distance, and system mode. The research questions focused on whether HMI design affects task efficiency and whether a custom-designed speedometer could better communicate system capabilities. The researchers employed a user-centred design approach, testing three HMI variants—Simple, Advanced, and Custom—in a low-fidelity driving simulator with 23 participants. The Simple and Advanced HMIs mimicked existing market designs, while the Custom HMI featured a redesigned speedometer intended to clarify system boundaries and driver settings. Participants performed routine tasks, including adjusting target speed and headway distance, and identifying system modes. Data collection included eye-tracking metrics (specifically extended total glance time), response times, accuracy, subjective workload assessments (RSME, R-TLX), usability scores (SUS), and semi-directed interviews. The results indicated that the Custom HMI did not uniformly outperform the others in reducing visual distraction or improving efficiency. While the custom speedometer aimed to reduce ambiguity regarding system ranges, it received mixed feedback; some participants found it intuitive, while others reported confusion. Eye-tracking data revealed that visual attention demands varied by task and design, but no single design consistently minimized glance time across all conditions. Qualitative data highlighted that participants struggled with understanding system boundaries, particularly regarding the difference between limited and full-speed range ACC systems. The study found that existing designs often fail to clearly indicate system capabilities, leading to potential mode confusion. The significance of this work lies in its practical design recommendations for ACC HMIs. The authors conclude that current heterogeneous designs may inadvertently increase driver distraction or hinder the development of accurate mental models. They recommend specific improvements, such as clearer indications of set target speed, time gap, and system mode, to support drivers in their supervisory role. The study underscores the need for standardized, intuitive visual cues that minimize cognitive load and ensure drivers can quickly and accurately interpret system status, thereby enhancing safety in assisted driving scenarios.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-06 |
| archive | success | canonical_url | — | — | 7 | 2026-06-09 |
| extract | success | cached | — | — | 2 | 2026-06-10 |
| clean | success | clean | — | — | 1 | 2026-06-09 |
| chunk | success | chunk | — | — | 1 | 2026-06-09 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-09 |
| enrich | success | semantic_scholar | — | — | 1 | 2026-06-10 |
| promote | success | — | — | — | 1 | 2026-06-06 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 8 | 2026-06-11 |
| verify | success | — | — | — | 1 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
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- Applied Guidance: design guidelines
- Methodological Resource: tool software
- Theoretical Contribution: conceptual framework