Lee Si-An, Kim Ji-Yea, Park Jin-Hyuck
Department of ICT Convergence, The Graduate School, Soonchunhyang University, Asan 31538, Republic of Korea.
Department of Occupational Therapy, College of Medical Science, Soonchunhyang University, Asan 31538, Republic of Korea.
J Intell. 2024 Oct 31;12(11):108. doi: 10.3390/jintelligence12110108.
This meta-analysis investigated the concurrent validity between virtual reality (VR)-based assessments and traditional neuropsychological assessments of executive function, with a focus on subcomponents such as cognitive flexibility, attention, and inhibition. A total of 1605 articles were identified through searches of PubMed, Web of Science, and ScienceDirect from 2013 to 2023. After removing duplicates, 1313 articles were screened based on their titles and abstracts, with 77 articles selected for full-text eligibility review. Of these, nine articles fully met the inclusion and exclusion criteria for this study. The effect size for overall executive function was assessed, with subcomponents categorized based on the specific assessment tools used in the studies. The effect size for each subcomponent-cognitive flexibility, attention, and inhibition-was then analyzed to provide a more detailed understanding of their relationships with traditional measures. The results revealed statistically significant correlations between VR-based assessments and traditional measures across all subcomponents. Additionally, sensitivity analyses confirmed the robustness of the findings, even when low-quality studies were excluded. These results support the use of VR-based assessments as a valid alternative to traditional methods for evaluating executive function. Moreover, the study highlights the potential of VR-based assessments as a valid alternative to traditional methods, emphasizing the need to address variability in executive function subcomponents and integrate diverse cognitive and motor metrics for greater ecological validity.
这项荟萃分析研究了基于虚拟现实（VR）的评估与传统神经心理学执行功能评估之间的同时效度，重点关注认知灵活性、注意力和抑制等子成分。通过检索2013年至2023年的PubMed、Web of Science和ScienceDirect，共识别出1605篇文章。去除重复项后，根据标题和摘要筛选出1313篇文章，其中77篇文章被选入全文合格性审查。其中，9篇文章完全符合本研究的纳入和排除标准。评估了整体执行功能的效应大小，并根据研究中使用的具体评估工具对子成分进行分类。然后分析每个子成分（认知灵活性、注意力和抑制）的效应大小，以更详细地了解它们与传统测量方法的关系。结果显示，在所有子成分中，基于VR的评估与传统测量方法之间存在统计学上的显著相关性。此外，敏感性分析证实了研究结果的稳健性，即使排除了低质量研究。这些结果支持将基于VR的评估作为评估执行功能的传统方法的有效替代方法。此外，该研究强调了基于VR的评估作为传统方法的有效替代方法的潜力，强调需要解决执行功能子成分的变异性，并整合不同的认知和运动指标以提高生态效度。
