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 age-related differences in the cognitive, visual, and temporal demands associated with In-Vehicle Information Systems (IVIS). Motivated by the rising proportion of older drivers and the increasing complexity of vehicle infotainment systems, the research addresses safety concerns regarding how these technologies impact driver workload. Specifically, it examines whether IVIS interaction demands differ between younger and older drivers and identifies which interface modes are more difficult for older adults to use. The researchers conducted an on-road study involving 128 participants divided into two cohorts: younger drivers (ages 21–36) and older drivers (ages 55–75). Participants drove six different 2018 vehicle models, each equipped with distinct IVIS interfaces. While driving along a fixed residential route, participants performed four task types—audio entertainment, calling and dialing, text messaging, and navigation—using three modes of interaction: voice commands, center stack (touchscreen/buttons), and center console (rotary dial/trackpad). To measure distraction, the study employed a Detection Response Task (DRT) to assess cognitive and visual attention, recorded task completion times, and collected subjective workload data using the NASA Task Load Index (TLX). Additionally, participants provided open-ended responses about their experiences, which were analyzed thematically. The results demonstrated significant age-related differences in IVIS usage. Older drivers consistently took longer to complete tasks, exhibited slower reaction times to DRT stimuli, and reported higher subjective workload compared to younger drivers. These deficits were observed across various task types and interaction modes, indicating that the cognitive and visual demands of IVIS are disproportionately higher for older adults. The analysis of participant comments further highlighted that older drivers found new IVIS interfaces particularly demanding, often struggling with the complexity of the systems. The study found that while voice commands are often touted as hands-free, they still impose significant cognitive loads, which are exacerbated in older populations due to age-related declines in processing speed and multitasking ability. The findings imply that current IVIS designs may pose significant safety risks for older drivers by diverting attention from the primary driving task. The study concludes that well-designed IVIS could support driver attention and improve safety for all ages, but current implementations often fail to account for the specific cognitive and visual limitations of older adults. The authors recommend that Original Equipment Manufacturers (OEMs) and developers consider these age-related costs when designing future interfaces, emphasizing the need for systems that minimize distraction potential to ensure safe mobility for the growing population of senior drivers.

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 (3 acquisition events logged).

StageOutcomeToolModelPromptAttemptsCompleted
discover success 1 2026-05-07
archive failed pmc 8 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 skipped 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 27 2026-08-11
verify success 4 2026-08-11

Summary generated by qwen3.6-27b-nvidia on 2026-08-10; verification: verified.

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