Author:
Lewis Morgan McGrath,Waltz Colin,Scelina Kathryn,Scelina Logan,Owen Kelsey,Hastilow Karissa,Miller Koop Mandy,Rosenfeldt Anson B.,Alberts Jay L.
Abstract
Introduction: The successful performance of instrumental activities of daily living (IADLs) is critical in maintaining independence for older adults. Traditional IADL questionnaires and performance-based assessments are time consuming, potentially unreliable, and fail to adequately consider the interplay between cognitive and motor performance in completing IADLs. The Cleveland Clinic Virtual Reality Shopping (CC-VRS) platform was developed to objectively quantify IADL performance through the characterization of cognitive, motor, and cognitive-motor function. The CC-VRS combines an immersive virtual grocery store with an omnidirectional treadmill to create a scenario in which the user physically navigates through a virtual environment. The primary aim of this project was to determine the known-group validity of the CC-VRS platform to characterize IADL performance in healthy older adults and young adults.Methods: Twenty healthy young (n = 10) and older (n = 10) adults completed the Basic and Complex CC-VRS scenarios. Position data from VR trackers on the hands, waist, and feet were used to quantify motor performance. Cognitive and dual-task performance were automatically calculated by the application during specific shopping sub-tasks.Results: Older adults exhibited significantly worse performance on multiple cognitive, motor, and dual-task outcomes of the CC-VRS (e. g., average walking speed, number of list activations, and stopping frequency).Discussion: The CC-VRS successfully discriminated IADL performance between young and healthy older adults. The complex realistic environment of the CC-VRS, combined with simultaneous evaluation of motor and cognitive performance, has the potential to more accurately characterize IADL performance by identifying subtle functional deficits that may precede neurological disease.
Subject
Computer Graphics and Computer-Aided Design,Computer Science Applications,Human-Computer Interaction
Cited by
1 articles.
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