Age related changes in cognitive response style in the driving task.

Reimer, Bryan · 2009 · ROSA P / New England University Transportation Center

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Summary

This study investigates how age influences cognitive response styles and driving performance when drivers engage in hands-free cellular phone conversations. While it is established that cell phone use adversely affects safety, the specific impact on older adults remains unclear, particularly given that this demographic is expected to drive more frequently and utilize technology more than previous cohorts. The research addresses the gap in understanding whether declines in cognitive ability with age lead to poorer performance under divided attention, and whether physiological measures like heart rate can detect workload differences that traditional performance metrics might miss. The researchers compared late middle-aged adults (51–66 years) with younger adults (19–23 years) using a driving simulator. Participants performed a naturalistic, low-to-moderately demanding hands-free phone task designed to impose equivalent objective cognitive demands on all subjects. The study measured both driving performance metrics, such as speed standard deviation and stop sign pause times, and physiological responses, specifically heart rate. The experimental design aimed to determine if older adults, who may have reduced total cognitive resources, would exhibit different physiological or behavioral adaptations compared to younger drivers when managing the secondary task. Results indicated that both age groups performed equivalently on the cellular telephone task itself. However, the phone task impacted driving performance for both groups, evidenced by an increased standard deviation in driving speed. Late middle-aged subjects drove more slowly overall, a self-regulatory behavior that helped maintain performance levels. Regarding stop sign pauses, younger drivers increased their pause time during the conversation, matching the consistently longer pauses observed in older drivers throughout the task. Physiologically, heart rate increased across the sample during the phone task, but this acceleration was limited almost entirely to younger subjects. Older drivers did not show significant heart rate acceleration, suggesting a different pattern of physiological response to cognitive load. The findings suggest that younger drivers struggle more with regulating workload during basic secondary conversations, as indicated by their heart rate acceleration and adjusted pause times. In contrast, late middle-aged adults appear equally capable, if not more so, of managing the additional demands of modest secondary tasks without compromising their ability to perform scheduling tasks. The study concludes that older drivers may compensate for cognitive load through self-regulatory behaviors, such as reducing speed, rather than exhibiting heightened physiological arousal. These results imply that previous studies using highly complex cognitive tasks may overestimate performance declines in older drivers. The research highlights the importance of considering individual physiological patterns and self-regulation when assessing age-related changes in driving safety.

Key finding

Late middle-aged adults demonstrated equivalent driving performance to younger adults during hands-free phone conversations, characterized by stable heart rates and slower overall driving speeds, while younger drivers showed heart rate acceleration and adjusted pause times.

Methodology

simulator

Provenance

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Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

Topics

Ranked by relevance to this paper. Hover a topic for its definition.

• cognitive
• mental demand
• cognitive capacity variation
• workload measurement
• temporal
• 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: physiological data, observational prevalence
• Theoretical Contribution: theory or model