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Grant: Team Grant: CCNA Phase III: Research Teams

University of Calgary

$1,075,000.00

Innovating Driving Assessment in Adults with Cognitive Impairment: A Person-Centered Approach Leveraging Artificial Intelligence and Digital Technology

FY 2024-25

Summary
Deciding when someone with dementia should stop driving is a major challenge in dementia care. While dementia can impact driving safety, a diagnosis does not automatically mean someone must stop driving-many individuals in the early stages can continue to drive safely for some time. Currently, the most depended on way to assess driving safety is through on-road driving assessments at specialized driving assessment centres. These tests are often unavailable, expensive, and may not accurately represent everyday driving behaviour. Our research seeks to create better tools for assessing driving safety in people with memory and thinking challenges. To do this, first, we will collect real-world driving information using easily installed sensors in a person's own car. This will allow us to analyze how driving behaviour varies among adults without memory and thinking issues, those with mild memory and thinking concerns, and individuals in the early stages of dementia. We will also monitor changes in driving over time to track how they change in relation to changes in memory and thinking. Additionally, we will explore whether walking tests that challenge both movement and thinking, which can be done in doctor's offices, offer clues about driving skills. Finally, we will also study whether real-world driving information is consistent with information from existing tools that predict crash risks in older drivers. By building the largest collections of real-world driving information in individuals with varying levels of memory and thinking abilities, our goal is to develop a fair, available, and effective approach to assessing driving skills to support individuals with memory and thinking problems, their families and doctors in making informed decisions about driving safety.
Program
Team Grant: CCNA Phase III: Research Teams
Location
Alberta, Canada
Recipient Type
Academia
Type
Grant
Source
CIHR Funding Decisions Database

As published

Id
517792
Name
Bayat Sayeh
Region
Alberta
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Aging
Theme2
Not applicable / Specified
Prcname2
Canadian Consortium on Neurodegeneration in Aging (CCNA) Phase III: Research Teams
Projecttitle
Innovating Driving Assessment in Adults with Cognitive Impairment: A Person-Centered Approach Leveraging Artificial Intelligence and Digital Technology
Programtype2
Operating Grants
Orgnameinp2
University of Calgary
Cihramount2
$1,075,000
Cihrequipment2
$0
Programname2
Team Grant: CCNA Phase III: Research Teams
Keyworddelim
Artificial Intelligence; Automobile Driving; Cognitive Impairment; Dementia; Digital Technology; Driving Safety; Mobility; Older Adults
Abstract
Deciding when someone with dementia should stop driving is a major challenge in dementia care. While dementia can impact driving safety, a diagnosis does not automatically mean someone must stop driving-many individuals in the early stages can continue to drive safely for some time. Currently, the most depended on way to assess driving safety is through on-road driving assessments at specialized driving assessment centres. These tests are often unavailable, expensive, and may not accurately represent everyday driving behaviour. Our research seeks to create better tools for assessing driving safety in people with memory and thinking challenges. To do this, first, we will collect real-world driving information using easily installed sensors in a person's own car. This will allow us to analyze how driving behaviour varies among adults without memory and thinking issues, those with mild memory and thinking concerns, and individuals in the early stages of dementia. We will also monitor changes in driving over time to track how they change in relation to changes in memory and thinking. Additionally, we will explore whether walking tests that challenge both movement and thinking, which can be done in doctor's offices, offer clues about driving skills. Finally, we will also study whether real-world driving information is consistent with information from existing tools that predict crash risks in older drivers. By building the largest collections of real-world driving information in individuals with varying levels of memory and thinking abilities, our goal is to develop a fair, available, and effective approach to assessing driving skills to support individuals with memory and thinking problems, their families and doctors in making informed decisions about driving safety.
Competitiondate
202412
Approvedterm2
4 yrs 0 mth
Pinamesdelim
Bayat, Sayeh; Naglie, Gary; Rapoport, Mark J
Approvedterm
4 ans 0 mois
Cihrcontribution2
IA~ $1,000,000~ $0~SPOR~ $75,000~ $0~
University of Calgary - $1,075,000 Grant (2024-25) | Canada Spends