Examining potential confounds in use of the detection response task for in-vehicle system evaluation
DOI: 10.3141/2663-09
archive: archived pipeline: cataloged verified
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Summary
This paper addresses the challenge of accurately assessing both cognitive and visual task demands in driving, a critical factor in understanding driver distraction and crash causation. While the Detection Response Task (DRT) is a widely used, cost-effective method for measuring cognitive load, it traditionally lacks sensitivity to visual demands, particularly in complex, multimodal tasks that combine voice and vision. The authors aim to develop a modified DRT configuration capable of simultaneously measuring both visual and cognitive attention demands, thereby providing a more comprehensive tool for evaluating in-vehicle systems. The study employed two experiments using a driving simulator where participants performed a horizontal tracking task analogous to lane keeping. Visual demand was systematically manipulated across four conditions based on the Inter-Stimulus Interval (ISI) for looking at a secondary display: a baseline with no secondary task, and conditions requiring downward glances every 15, 10, or 5 seconds. Experiment 1 utilized a standard DRT setup with head-mounted and remote LED stimuli. Experiment 2 modified this approach by replacing the head-mounted stimulus with a tactile DRT (TDRT) and altering the remote stimulus to a fading LED with a color mask to reduce visual salience when not looking forward. Metrics included eyes-on-road time, tracking performance error, DRT reaction time, and hit rate. Results from Experiment 1 indicated that while visual manipulations successfully reduced eyes-on-road time and degraded tracking performance, the standard DRT metrics were insensitive to visual demand. Reaction times increased with visual load, but this was attributed to cognitive interference rather than visual diversion, as hit rates remained unchanged. In contrast, Experiment 2 demonstrated that the modified dual-DRT setup was sensitive to both types of demand. The tactile DRT maintained high hit rates, serving as a clean measure of cognitive load unaffected by visual glances. Meanwhile, the hit rate for the fading remote DRT significantly decreased as visual demand increased, effectively capturing the loss of visual attention. Reaction times for both stimuli increased with visual demand, confirming the cognitive load associated with the tasks. The findings suggest that a dual-DRT approach, combining a tactile stimulus for cognitive assessment and a muted remote stimulus for visual assessment, can reliably measure both visual and cognitive demands simultaneously. This method offers a simple, rapid, and cost-effective alternative to expensive eye-tracking systems or visual occlusion technologies. The study concludes that this modified DRT configuration is a promising tool for benchmarking attention in complex driving environments, particularly for evaluating secondary tasks that involve mixed interaction modes. Future research is recommended to optimize the remote stimulus for various lighting conditions and to rigorously model the relationship between eyes-off-road time and hit rates.
Key finding
Tactile DRT picks up cognitive demand of visual-manual IVIS interactions but increases task completion time modestly, requiring correction when used with visual-manual tasks.
Methodology
lab_experiment
Sample size: 24
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 (4 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | author_sweep | — | — | 2 | 2026-05-28 |
| archive | failed | pmc | — | — | 8 | 2026-06-04 |
| extract | success | pdf_extracted | — | — | 2 | 2026-06-10 |
| clean | success | — | — | — | 1 | 2026-06-01 |
| chunk | success | — | — | — | 1 | 2026-06-01 |
| embed | success | — | — | — | 1 | 2026-06-02 |
| enrich | success | crossref | — | — | 1 | 2026-06-04 |
| promote | success | — | — | — | 2 | 2026-06-06 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 2 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 17 | 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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- Applied Guidance: design guidelines
- Empirical Findings: behavioral performance data
- Methodological Resource: measurement protocol