Gamito Pedro, Morais Diogo, Oliveira Jorge, Ferreira Lopes Paulo, Picareli Luís Felipe, Matias Marcelo, Correia Sara, Brito Rodrigo
Cognition and People-centric Computing Laboratories- COPELABS. Lusophone University of Humanities and Technologies, Lisbon, Portugal.
School of Psychology and Life Sciences. Lusophone University of Humanities and Techologies., Lisbon, Portugal.
JMIR Rehabil Assist Technol. 2016 May 4;3(1):e5. doi: 10.2196/rehab.4155.
Memory and attention are two cognitive domains pivotal for the performance of instrumental activities of daily living (IADLs). The assessment of these functions is still widely carried out with pencil-and-paper tests, which lack ecological validity. The evaluation of cognitive and memory functions while the patients are performing IADLs should contribute to the ecological validity of the evaluation process.
The objective of this study is to establish normative data from virtual reality (VR) IADLs designed to activate memory and attention functions.
A total of 243 non-clinical participants carried out a paper-and-pencil Mini-Mental State Examination (MMSE) and performed 3 VR activities: art gallery visual matching task, supermarket shopping task, and memory fruit matching game. The data (execution time and errors, and money spent in the case of the supermarket activity) was automatically generated from the app.
Outcomes were computed using non-parametric statistics, due to non-normality of distributions. Age, academic qualifications, and computer experience all had significant effects on most measures. Normative values for different levels of these measures were defined.
Age, academic qualifications, and computer experience should be taken into account while using our VR-based platform for cognitive assessment purposes.
记忆和注意力是对日常生活工具性活动(IADL)表现至关重要的两个认知领域。对这些功能的评估仍广泛采用纸笔测试,但其缺乏生态效度。在患者进行IADL时评估认知和记忆功能应有助于提高评估过程的生态效度。
本研究的目的是建立旨在激活记忆和注意力功能的虚拟现实(VR)IADL的常模数据。
总共243名非临床参与者进行了纸笔简易精神状态检查表(MMSE),并执行了3项VR活动:艺术画廊视觉匹配任务、超市购物任务和记忆水果匹配游戏。数据(执行时间和错误,以及超市活动中的花费金额)由应用程序自动生成。
由于分布不呈正态性,使用非参数统计计算结果。年龄、学历和计算机经验对大多数测量指标均有显著影响。定义了这些测量指标不同水平的常模值。
在将我们基于VR的平台用于认知评估目的时,应考虑年龄、学历和计算机经验。