Age-Related Differences in the Cognitive, Visual and Temporal Demands of In-Vehicle Information Systems

Cooper, Joel M.; Wheatley, Camille L.; McCarty, Madeleine M.; Motzkus, Conner J.; Lopes, Clara L.; Erickson, Gus G.; Baucom, Brian R. W.; Strayer, David L. · 2019 · AAA Foundation for Traffic Safety

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Summary

This study investigates the cognitive workload associated with interacting with in-vehicle information systems (IVIS), specifically focusing on how age and practice influence driver distraction. While voice-activated features are marketed as a safety solution allowing drivers to keep their eyes on the road, prior research indicated that even perfectly reliable voice systems impose significant cognitive demands. This research aimed to determine if these demands are exacerbated for older drivers and whether a week of practice reduces the interference caused by IVIS interactions. The researchers conducted a field study involving 257 participants aged 21 to 70, divided into three age groups. Participants were assigned to one of ten different 2015 model-year vehicles equipped with various voice-activated IVIS platforms. The experimental design included two testing sessions separated by five days during which participants took the vehicle home to practice using the IVIS. Cognitive workload was measured using a Detection Response Task (DRT), which required drivers to respond to peripheral visual stimuli while driving, alongside subjective NASA TLX ratings. Participants performed specific tasks such as dialing numbers, calling contacts, and tuning the radio via voice commands. The study compared performance during single-task driving, IVIS interaction (both on-task and off-task periods), and a high-workload baseline condition. The results demonstrated that IVIS interactions impose moderate to high cognitive workload, averaging 3.34 on a 5-point scale. Older drivers experienced significantly greater cognitive workload than younger drivers performing the same operations. Crucially, the five-day practice period did not eliminate the interference; tasks that were difficult initially remained difficult after practice. The workload was correlated with the system’s intuitiveness, complexity, and the time required to complete interactions. Furthermore, the study identified long-lasting residual costs, where drivers’ performance on the DRT remained impaired for several seconds after the IVIS interaction had terminated. The findings suggest that voice-based IVIS interactions are cognitively demanding and should not be used indiscriminately while driving. The lack of improvement with practice indicates that current systems are often complex or error-prone, limiting the potential for automation through familiarity. The significant age-related differences highlight that older drivers, who are more likely to purchase vehicles with these features, face higher risks of cognitive distraction. These results provide critical evidence for regulatory guidelines, suggesting that auditory/vocal tasks can have unintended safety consequences that persist despite user experience.

Key finding

IVIS interactions impose substantially greater cognitive, visual, and temporal demand on older drivers (55-75) than on younger drivers (21-36): older drivers were ~190 ms slower on DRT RT (e.g., 954 vs 764 ms in auditory-vocal mode), had markedly lower DRT hit rates (0.41 vs 0.67 overall), and reported higher NASA-TLX workload across audio, calling, text-messaging, and navigation tasks in all six vehicles. Voice commands did not eliminate the age gap, and several systems (notably Mazda CX-5 and Nissan Pathfinder) produced especially large age-related decrements.

Methodology

on_road

Sample size: N=128 (younger 21-36 yrs, n=64, M=24.8, SD=2.97; older 55-75 yrs, n=64, M=65.8, SD=5.36); 24 per age cohort per vehicle target across six 2018 vehicles

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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 (2 acquisition events logged).

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