An AI-Based Prediction of Cognitive Capacity in Older Adults and Individuals With Mild Cognitive Impairment During Virtual Reality Driving Tasks

Sponsor
National Cheng-Kung University Hospital
Study ID
NCT07656389
Status
Not Yet Recruiting

Notify me when recruiting opens

Save your spot on the interest list for this study. We'll keep your details with this study so our team can follow up when recruiting opens.

Not yet recruiting

Add your contact details and location so we can keep your interest tied to this study.

Conditions

  • Eye Movement Disorder
  • Mild Cognitive Impairment (MCI)
  • Multimodal Monitoring
  • Older Adults
  • Virtual Reality

Eligibility Criteria

Sex
ALL
Age
30 Years - 85 Years
Healthy Volunteers
Not accepted

Study Details

Driving ability in older adults is essential for independent mobility and social participation, yet declines under high cognitive load or distraction often lead to visual attention failures such as "look-but-fail-to-see," increasing crash risk. Older adults and individuals with mild cognitive impairment (MCI) show impairments in visual attention, executive control, and visuomotor integration, which are not adequately captured by conventional assessments. Virtual reality (VR) integrated with eye-tracking and upper-limb motion analysis enables ecologically valid simulation of driving scenarios and precise quantification of visuomotor behavior. However, current studies are limited by single-scenario designs, unimodal AI models, and insufficient integration of action-related data. This study proposes a multi-phase framework: Year 1 develops an eye-movement-based AI model for MCI identification; Year 2 integrates multimodal data in VR driving tasks; and Year 3 establishes an explainable AI system with longitudinal validation. The study aims to advance cognitive assessment and develop a digital tool for early MCI detection and driving risk prediction.

Key Dates

First listed
Jun 18, 2026
Start date
Jun 20, 2026
Status verified
Jun 2026
Primary completion
Dec 31, 2029
Completion
Dec 31, 2029

Study Design

Enrollment
192 participants (estimated)

Arms

  • Arm: Young Adults
    Healthy young adults (aged 30-39 years) with no history of neurological or psychiatric disorders. Participants will complete standardized virtual reality (VR) driving tasks with integrated eye-tracking and upper-limb motion recording to establish normative visuomotor and cognitive performance benchmarks.
  • Arm: Cognitively Healthy Older Adults
    Community-dwelling older adults (≥65 years) with normal cognitive function based on standardized screening (e.g., MoCA within normal range). Participants will undergo the same VR-based assessments to examine age-related changes in visual attention, executive control, and visuomotor coupling.
  • Arm: Mild Cognitive Impairment (MCI)
    Older adults clinically identified with mild cognitive impairment according to established diagnostic criteria. Participants will complete identical VR driving tasks to investigate alterations in visual search behavior, attentional control, and visuomotor integration, and to support development of predictive AI models for cognitive decline and driving risk.

Primary Outcome Measure

Time to First Fixation (TFF) within the Area of Interest [ Time Frame: Baseline ]

Central Contacts

Related Studies