Development and Evaluation of New Anchors for Ratings of Driving Workload
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Summary
This study addresses the lack of quantitative methods for assessing driving workload, a critical factor in driver distraction and overload, particularly for older drivers. While previous research relied on qualitative descriptions or inconsistent metrics, this paper aims to develop and validate a repeatable, anchored rating system that allows for the comparison of workload across different driving environments, such as simulators and real-world roads. The authors sought to improve upon prior anchor clips by enhancing image quality, field of view, and situational awareness cues, while also deriving predictive equations to estimate workload based on objective traffic and vehicle dynamics. The research comprised two experiments. In Experiment 1, 16 subjects (eight aged 18–30 and eight aged >65) drove 28 expressway scenarios in a driving simulator. They rated the workload of each scenario relative to two new anchor clips displayed on screens mounted on the vehicle’s hood. These anchors featured higher resolution, color, a 120-degree field of view, and interior reference points like A-pillars. For 10 scenarios, subjects also rated corresponding video clips to compare simulator driving with passive viewing. Experiment 2 involved 18 subjects across three age groups who evaluated static scenes with varying fields of view (120, 150, 180 degrees) and rear-view mirror configurations to determine which anchor designs best supported situation awareness and preference. The results demonstrated that the new anchor clips yielded highly repeatable ratings and strong consistency between simulator driving and video clip viewing (correlation coefficient r=0.84). Workload ratings correlated significantly with traffic density, gap to the lead vehicle, and lateral lane position. The study derived a predictive equation accounting for 89% of the variance in workload ratings: Workload = 8.53 - 3.18*Log(Gap) + 0.28*MeanTrafficCount + 4.70*MinimumLanePosition - 0.10*StandardDeviationOfSideVehicleGap. In Experiment 2, subjects preferred anchors with 120- or 180-degree fields of view that included mirror representations, as these configurations improved vehicle recall and situational awareness compared to scenes without mirrors. The significance of this work lies in providing a robust, quantifiable metric for driving workload that facilitates cross-study comparisons and informs safety guidelines. The validated anchored rating method offers a practical tool for researchers to assess primary task demands, while the derived equations allow for the estimation of workload from objective driving data. The findings suggest that improved anchor clips with wider fields of view and mirror cues enhance rating reliability, supporting the development of safer driving environments and in-vehicle systems tailored to driver capacity.
Key finding
Workload ratings were predicted with high accuracy (R2=0.89) using an equation based on lead vehicle gap, traffic count, lane position, and side vehicle gap variability, while anchor clips featuring 120- or 180-degree fields of view with mirrors were identified as the most effective for maintaining situational awareness.
Methodology
simulator
Sample size: 34
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 bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | rosap | — | — | 2 | 2026-05-23 |
| archive | success | — | — | — | 1 | 2026-05-23 |
| extract | success | cached | — | — | 2 | 2026-06-10 |
| clean | success | — | — | — | 1 | 2026-06-01 |
| chunk | success | — | — | — | 1 | 2026-06-01 |
| embed | success | — | — | — | 1 | 2026-06-02 |
| enrich | success | — | — | — | 1 | 2026-05-23 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 3 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 19 | 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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- Methodological Resource: metric or index, validation psychometrics
- Theoretical Contribution: theory or model