The roles of working memory capacity, visual attention and age in driving performance
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Summary
This study investigates the cognitive factors underlying driving performance to develop a predictive model for individual driving ability, addressing the public safety concern of older adults’ disproportionate involvement in traffic fatalities. With the population aged 65 and over projected to increase significantly, there is a critical need for non-discriminatory policies that identify unsafe drivers based on cognitive capacity rather than age alone. The research specifically examines the roles of working memory capacity, visual attention, and age in simulated driving performance, aiming to determine if these cognitive metrics can predict driving safety across the lifespan. The researchers tested 35 participants: 15 community-dwelling older adults (mean age 67.87) and 20 young adults (mean age 22.45). Participants completed two cognitive assessments: the Useful Field of View (UFOV) test, which measures visual attention components such as processing speed, divided attention, and selective attention; and the Operation Span (OSPAN) task, a standard measure of working memory capacity and executive function. Following these assessments, participants drove a high-fidelity PatrolSim driving simulator, completing two 10-mile highway sections. Driving performance was quantified using three parameters: brake reaction time, following distance from a lead vehicle, and driving speed. The results indicated significant age differences in driving behavior, with older adults exhibiting slower brake reaction times and a trend toward larger following distances compared to young adults. However, contrary to expectations, there were no significant age differences in either OSPAN or UFOV scores, likely due to the high-functioning nature of the volunteer sample. Crucially, working memory capacity (OSPAN) was a significant predictor of driving performance. Lower OSPAN scores correlated with slower brake reaction times, increased following distances, and decreased speed, suggesting that individuals with lower working memory capacity adopt compensatory strategies to manage driving demands. In contrast, UFOV scores did not significantly correlate with these nuanced driving parameters, although they were correlated with age. Age itself was correlated with brake reaction time but not with working memory capacity. The study concludes that working memory capacity is a critical component of a predictive model for driving ability, potentially offering a more sensitive measure of driving performance decline than visual attention tests like UFOV. These findings support an individual-differences approach to driver safety screening, where cognitive assessments could identify unsafe drivers regardless of age. This method could inform public policy by allowing for targeted interventions or licensing decisions based on specific cognitive deficits rather than broad age-based restrictions, thereby balancing road safety with the independence of older adults.
Key finding
Attentional measures are important predictors of driving performance, with individual differences in visual attention and working memory capacity relating to simulated driving ability across age groups.
Methodology
simulator
Sample size: 35
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 tag_papers on 2026-05-30 (5 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | — | — | — | 1 | 2026-05-06 |
| archive | failed | pmc | — | — | 12 | 2026-06-04 |
| extract | success | cached | — | — | 5 | 2026-08-10 |
| clean | success | clean | — | — | 2 | 2026-08-10 |
| chunk | success | chunk | — | — | 2 | 2026-08-10 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 2 | 2026-08-10 |
| enrich | failed | — | — | — | 3 | 2026-07-02 |
| promote | success | — | — | — | 2 | 2026-06-06 |
| summarize | success | llm | qwen3.6-27b-nvidia | summ-v5 | 4 | 2026-08-10 |
| tag | success | vector_similarity | — | — | 28 | 2026-08-11 |
| verify | partial | — | — | — | 4 | 2026-08-11 |
Summary generated by qwen3.6-27b-nvidia on 2026-08-10; verification: verified_with_issues.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
- cognitive capacity variation
- useful field of view
- attention
- cognitive aging
- mci dementia driving
- older drivers
Information type
What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).
- Empirical Findings: behavioral performance data
- Theoretical Contribution: theory or model, computational model