Semi‐automated vehicles may not solve older drivers' mobility needs

Devos, Hannes; Carr, David B.; Akinwuntan, Abiodun Emmanuel

doi:10.1111/jgs.18379

Cited by 3 publications

(1 citation statement)

References 10 publications

(16 reference statements)

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“…The advent of automated vehicles (AVs) may offer unique benefits to prolong functional independence for adults with AD [11,12], particularly when the humanmachine interfaces are tailored to the needs of the drivers with cognitive impairments [13]. Although older drivers express concerns about AV as potentially unsafe and unreliable technology [14][15][16], emerging studies show that care partners of adults with cognitive impairments recognize the possible benefits of AV, such as increased social participation [17,18].…”

Section: Introductionmentioning

confidence: 99%

Driving Automation for Older Adults with Preclinical Alzheimer’s Disease

Ahmadnezhad,

Burns,

Akinwuntan

et al. 2023

Gerontology

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Background: Older adults with preclinical Alzheimer’s disease (AD) show changes in on-road driving performance. The impact of preclinical AD on using automated vehicle (AV) technology is unknown. The aim was to evaluate safety and cognitive workload while operating AV technology in drivers with preclinical AD. Methods: This cross-sectional study included 40 participants: 19 older adults (age 74.16 ± 4.78; MOCA scores 26.42 ± 2.52) with preclinical AD, evidenced by elevated cortical beta-amyloid; and 21 controls (age 73.81 ± 5.62; MOCA scores 28.24 ± 1.67). All participants completed two scenarios in a driving simulator. Scenario 1 included conditional automation with an emergency event that required a manual take-over maneuver. Scenario 2 was identical but with a cognitive distractor task. Emergency response time was the main safety outcome measure. Cognitive workload was calculated using moment-to-moment changes in pupillary size and converted into an Index of Cognitive Activity (ICA). Mann-Whitney U and independent t-tests were used to compare group differences. Results: Emergency response times were similar between drivers with preclinical AD and controls in scenario 1 (20.85s ± 1.08 vs 20.52s ± 3.18; p = 0.83) and scenario 2 (14.83s ± 7.37 vs 13.45s ± 10.43; p = 0.92). Likewise, no differences were found in ICA between drivers with preclinical AD and controls in scenario 1 (0.34 ± 0.08 vs 0.33 ± 0.17; p = 0.74) or scenario 2 (0.30 ± 0.07 vs 0.29 ± 0.17; p = 0.93). Conclusions: Older drivers with preclinical AD may safely operate AV technology, without increased response times or cognitive workload. Future on-road studies with AV technology should confirm these preliminary results in drivers with preclinical AD.

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Section: Introductionmentioning

confidence: 99%

Driving Automation for Older Adults with Preclinical Alzheimer’s Disease

Ahmadnezhad,

Burns,

Akinwuntan

et al. 2023

Gerontology

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Cortical dynamics of automated driving across the spectrum of cognitive aging: A proof-of-concept study

Devos,

Ahmadnezhad,

Liao

et al. 2023

Transportation Research Part F: Traffic Psychology and Behaviou

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Automated Vehicles: Future Initiatives for Occupational Therapy Practitioners and Driver Rehabilitation Specialists

Classen,

Gelinas,

Barco

et al. 2024

OTJR: Occupational Therapy Journal of Research

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This article addresses a critically important topic for the occupational therapy (OT) profession and driver rehabilitation specialists (DRS), related to the introduction and deployment of personal and public automated vehicles (AVs); and discusses the current and corresponding changing roles for these professionals. Within this commentary, we provide an overview of the relevant literature on AV regulations, policy, and legislation in North America, the various levels of AV technology, and inclusive and universal design principles to consider in AV deployment for people with disabilities. The role of the OT practitioner and DRS is described within the context of the person–environment–occupation–performance model, and within the guidelines of the Association for Driver Rehabilitation Specialists and the American Occupational Therapy Association. The article concludes with considerations for an extended clinical agenda, a new research agenda, and a call for action to OT practitioners and DRS, as well as to educators, certification bodies, professional organizations, and collaborators.

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Semi‐automated vehicles may not solve older drivers' mobility needs

Cited by 3 publications

References 10 publications

Driving Automation for Older Adults with Preclinical Alzheimer’s Disease

Driving Automation for Older Adults with Preclinical Alzheimer’s Disease

Cortical dynamics of automated driving across the spectrum of cognitive aging: A proof-of-concept study

Automated Vehicles: Future Initiatives for Occupational Therapy Practitioners and Driver Rehabilitation Specialists

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