Using a Virtual Reality Serious Game to Assess the Performance of Older Adults with Frailty

认知 虚拟现实 心理学 逻辑回归 多项式logistic回归 游戏 计算机科学 应用心理学 老年学 医学 人机交互 机器学习 神经科学
作者
Ioannis Paliokas,E Kalamaras,Konstantinos Votis,Stefanos Doumpoulakis,Eftychia Lakka,Marina Kotsani,Anne Freminet,Athanase Bénétos,Ioannis Ellul,Marina Polycarpou,Stelios Zygouris,Vasileios Megalooikonomou,Dimitrios Tzovaras
出处
期刊:Advances in Experimental Medicine and Biology [Springer Nature]
卷期号:: 127-139 被引量:6
标识
DOI:10.1007/978-3-030-32637-1_13
摘要

Objectives: The comparison of cognitive performance of older adults with frailty and non-frail ones (according to Fried’s criteria) was investigated. Methods/Design: The differences in performance between people with frailty and individuals without frailty according to Fried were tested using a Virtual Reality (VR) application. The Fried criteria for frailty were used to categorize users into study groups, while standardized batteries were used for a Comprehensive Geriatric Assessment, including Activities of Daily Living (ADL), lifestyle, cognition, and depression screening. A group of 80 elders (78.08 years old in average) played the VR game entitled Virtual Supermarket (VSM). From those, 39 were healthy controls and 30 were categorized as pre-frail and 11 as frail. The VSM application presented users with a virtual shopping experience where users had to locate and purchase items displayed in a shopping list. This application was designed to test player’s ability to reproduce a typical customer behavior in a simulated environment which requires spatial orientation, short-term memory, selective attention, and cognition speed. The performance, duration, and error rate were used as measurements. Results: The analysis showed that there was a statistically significant difference in game performance between the different user groups with X2 (2) = 9.929, p = 0.007. Moreover, the multinomial logistic regression model generated, which based on game performance metrics, was found to be statistically significant with X2 (4) = 15.662, p = 0.004. Conclusions: Results shed more light toward the possible use of VR for distant self-administered evaluation of the frail status.
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