Virtual Reality and the Cognitive Screening of Older Adults: A Review
Lecture Notes in Networks and Systems, ISSN: 2367-3389, Vol: 692 LNNS, Page: 419-430
2023
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
This paper presents a literature review aiming to analyse the state of the art of virtual reality applications to detect age related cognitive impairments of community-dwelling older adults by identifying (i) the paradigms for interaction being used, (ii) the cognitive domains being assessed, and (iii) how the proposed applications were evaluated. A systematic electronic search was performed using Scopus, Web of Science and PubMed databases and 23 studies were included in the review. The paradigm most used for interaction was simulation of daily tasks, while memory, executive functions, and attention were the cognitive domains most referred. For the evaluation of the proposed applications, five articles reported on diagnostic accuracy studies and their results state that applications supported on virtual reality can discriminate between normal cognition and nonnormal cognition. However, these diagnostic accuracy studies not only constitute a small percentage of the included studies, but also, in general, were conducted with a small number of participants.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85172667132&origin=inward; http://dx.doi.org/10.1007/978-3-031-33261-6_36; https://link.springer.com/10.1007/978-3-031-33261-6_36; https://dx.doi.org/10.1007/978-3-031-33261-6_36; https://link.springer.com/chapter/10.1007/978-3-031-33261-6_36
Springer Science and Business Media LLC
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