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Ten-Scenarios of Tablet-Based Virtual Environment Game for Instrumental Activities of Daily Living in iRBD Patients

Authors
You, JaehwanHeo, JiwoongSunwoo, Jun-SangJung, Ki-YoungKim, Kwanguk
Issue Date
Dec-2025
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
DiseasesTelephone setsPublic transportationDementiaParticle measurementsGamesAtmospheric measurementsTrainingPressesOlder adultsInstrumental activities of daily living (IADL)neurodegenerative diseasetablet-based virtual reality (VR)
Citation
IEEE TRANSACTIONS ON GAMES, v.17, no.4, pp 944 - 953
Pages
10
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON GAMES
Volume
17
Number
4
Start Page
944
End Page
953
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211672
DOI
10.1109/TG.2025.3565778
ISSN
2475-1502
2475-1510
Abstract
The ability to perform instrumental activities of daily living (IADL) allows individuals to live independently. Several evaluation tools can be used to evaluate IADL. Although questionnaire-based evaluation tools are widely used, they have the issue of potentially being reported differently than the participants' actual abilities. Virtual reality-based IADL (VR-IADL) programs have been proposed for improved assistance and evaluation. However, previous VR-IADL programs had limited scenarios and were difficult to use. To overcome this, we developed a ten-scenario version of a tablet-based VR-IADL program. To test the performance of the tablet-based VR-IADL program, two studies were performed. In Study 1, we recruited 20 healthy adults to develop the VR-IADL scoring system, and in Study 2, 31 patients with idiopathic rapid eye movement sleep behavior disorder were recruited to test its validity. Participants in Study 2 were considered to be at high risk of mild cognitive impairment, dementia, and Parkinson's disease. The results suggest that the VR-IADL score was positively correlated with cognitive tests and these correlations were better than those determined using existing tools. We believe that our tablet-based VR-IADL program is beneficial for older adults at high risk for neurodegenerative diseases.
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