Interface design considerations for an in-vehicle eco-driving assistance system
DOI: 10.1016/j.trc.2014.12.008
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Summary
This study addresses the design of in-vehicle eco-driving assistance systems that provide real-time guidance on accelerator pedal usage to improve fuel efficiency. While previous research demonstrated that visual or haptic feedback could enhance fuel economy, this work aimed to identify the most effective interface modalities and specific design characteristics. The researchers sought to determine whether visual, auditory, or haptic feedback best guides drivers toward optimal pedal angles, and how specific interface features, such as the type of haptic force or the complexity of visual information, influence driver performance and subjective preference. The study utilized a high-fidelity driving simulator with a paired comparison experimental design. Twenty-one participants drove a short urban scenario involving cruising and acceleration phases. Twelve distinct eco-driving interfaces were tested: six haptic accelerator pedal systems (varying by force feedback, stiffness feedback, and adaptive stiffness, each with strong and weak guidance levels) and six visual systems (Dot, Gauge, and Foot displays, each with and without complementary auditory tones). The haptic systems altered the pedal’s resistance profile to guide the driver, while visual systems provided color-coded feedback on pedal error. Effectiveness was assessed objectively through root mean squared error in accelerator pedal angle and eye-tracking data measuring visual distraction (Percent Road Centre). Subjective effectiveness was measured via forced-choice judgments where participants selected which system in a pair best guided them to the correct pedal angle. Results indicated that among haptic systems, drivers preferred and performed best with the strong force feedback system, which applied a distinct step change in resistance when accelerating inefficiently. This was judged significantly more effective than stiffness feedback systems, which provided a gradual increase in resistance. For visual interfaces, systems providing second-order information (Gauge and Foot displays), which indicated the magnitude and direction of required pedal adjustment, were preferred over the simpler Dot display. Crucially, the addition of complementary auditory tones to visual displays significantly improved subjective ratings of effectiveness and reduced visual distraction from the roadway, as evidenced by higher Percent Road Centre values. The strong force haptic system also resulted in lower visual distraction compared to visual-only interfaces. The findings suggest that effective eco-driving assistance requires interfaces that provide clear, actionable guidance rather than simple status indicators. Force feedback haptics offer a robust method for guiding pedal usage without diverting visual attention, while multimodal visual-auditory displays enhance performance and safety by reducing the cognitive and visual load associated with interpreting dashboard information. These results provide specific design recommendations for developing in-vehicle systems that support green driving, emphasizing the importance of modality selection and information granularity in achieving sustained fuel efficiency improvements.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-16 |
| archive | success | semantic_scholar | — | — | 6 | 2026-06-25 |
| extract | success | cached | — | — | 2 | 2026-06-25 |
| clean | success | clean | — | — | 1 | 2026-06-20 |
| chunk | success | chunk | — | — | 1 | 2026-06-20 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-20 |
| enrich | success | semantic_scholar | — | — | 2 | 2026-06-20 |
| promote | success | — | — | — | 1 | 2026-06-16 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-25 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-20 |
| verify | partial | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-25; verification: verified_with_issues.
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- Applied Guidance: design guidelines
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