A Framework for Naturalistic Driving Assessment in People Living with Dementia

Naturalistic Driving Studies (NDSs) offer a promising approach for assessing driving safety in older adults living with mild dementia. Traditional tools, such as on-road tests and driving simulators, often fall short in capturing everyday driving behaviour, as they are conducted in structured, time-limited, and sometimes stressful settings. In contrast, NDS can monitor real-world driving over extended periods and in natural contexts. This commentary reviews the current landscape of NDS involving individuals with mild dementia, outlining key limitations in study design, including heterogeneous sensor configurations, inconsistent driving metrics, and a lack of standard outcome definitions. To address these issues, we propose a next-generation framework for NDS design that emphasizes core sensor technologies such as inertial measurement unit, global positioning system, and cameras, and highlights the importance of integrated, resource-efficient systems. We offer recommendations to enhance the validity, comparability, and clinical utility of naturalistic driving methods in clinical research. Although the framework focuses on mild dementia, its principles may also be applied to other populations experiencing cognitive impairment.