Age Related Changes in Cognitive Response Style in the Driving Task: Part II

Reimer, Bryan · 2013 · ROSA P / New England University Transportation Center

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Summary

This report details the second phase of a study investigating age-related differences in cognitive response styles during driving, specifically focusing on physiological arousal patterns under heightened cognitive workload. The research addresses the inconsistency in how heart rate responds to cognitive demand, noting that while heart rate often increases with workload, it can also decrease depending on attentional allocation. Drawing on Lacey and Lacey’s (1974) theory, the authors hypothesize that heart rate deceleration reflects a broad external focus for sensory intake, whereas acceleration indicates selective attention to reject distractions. The study aims to determine if these divergent physiological patterns explain performance differences between younger and late middle-aged drivers. The research utilized driving simulation studies involving younger adults (19–23 years) and late middle-aged drivers (51–66 years). Participants engaged in dual-task conditions, including naturalistic hands-free cellular phone conversations and continuous performance tasks (CPT). Physiological measures included heart rate and, in later assessments, skin conductance level (SCL). The experimental design compared group averages and individual response subtypes, analyzing how heart rate reactivity correlated with driving performance metrics such as speed control, velocity stability, and secondary task accuracy. One specific assessment involved 38 drivers performing an auditory-verbal n-back task to evaluate the impact of task pacing on workload measures. Key findings revealed that late middle-aged drivers generally exhibited lower overall driving speeds and did not show the heart rate acceleration seen in younger drivers during phone tasks, despite equivalent performance on the secondary task. However, when analyzing individual subtypes within the older group, those who did exhibit heart rate acceleration performed significantly better on the CPT, drove faster, and maintained more stable velocity control than those who did not accelerate. In contrast, heart rate response did not correlate with CPT performance in younger subjects. Additionally, the study found that while heart rate decreased during certain listening tasks, skin conductance increased, confirming the "sensory intake" state associated with heart rate deceleration. Task pacing was also shown to influence both self-reported and physiological workload measures. The significance of these findings lies in the demonstration that aggregate group data may mask critical individual differences in cognitive response styles. The results suggest that heart rate acceleration in late middle-aged drivers serves as a marker for effective resource allocation and engagement, whereas deceleration may indicate a compensatory slowing of driving speed to manage workload. The study concludes that utilizing multiple physiological measures and categorizing drivers by their specific arousal patterns is essential for accurately assessing driver workload and understanding the impact of attentional styles on driving safety. This approach highlights the need to move beyond group averages to identify subtypes of responders in driving behavior research.

Key finding

Late middle-age drivers who exhibited heart rate acceleration during dual-task driving performed significantly better on secondary tasks and maintained more stable velocity control than those who did not accelerate.

Methodology

simulator

Sample size: 38

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).

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

Topics

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• workload measurement
• stress driving
• cognitive capacity variation
• mental demand
• stress arousal performance
• temporal

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, behavioral performance data
• Theoretical Contribution: theory or model