ArticleJournal of medical Internet research2022
A Novel Virtual Reality Assessment of Functional Cognition: Validation Study.
Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
12 citing papers in PubMed, 31 citations in OpenAlex.
- Exploring Cognitive Functions Through Virtual Reality: a Systematic Review of Ecologically Valid Assessments.Neuropsychology review · 2026Review
- Leveraging Swipe Gesture Interactions From Mobile Games as Indicators of Anxiety and Depression: Exploratory Study.JMIR mental health · 2025Article
- Grocery shopping as an outcome measure: A scoping review.PloS one · 2025Article
- Immersive Virtual Reality-Based Methods for Assessing Executive Functioning: Systematic Review.JMIR serious games · 2024Review
- A machine learning approach to evaluate the impact of virtual balance/cognitive training on fall risk in older women.Frontiers in computational neuroscience · 2024Article
- Amyloid-β Deposition Predicts Grocery Shopping Performance in Older Adults Without Cognitive Impairment.Journal of Alzheimer's disease : JAD · 2024Article
- Digital Marker for Early Screening of Mild Cognitive Impairment Through Hand and Eye Movement Analysis in Virtual Reality Using Machine Learning: First Validation Study.Journal of medical Internet research · 2023Article
- Impact of Virtual Reality Cognitive and Motor Exercises on Brain Health.International journal of environmental research and public health · 2023Review
- Automatic Detection of Cognitive Impairment with Virtual Reality.Sensors (Basel, Switzerland) · 2023Article
- Development and preliminary validation of a virtual reality memory test for assessing visuospatial memory.Frontiers in aging neuroscience · 2023Article
- The Effect of Visualization Techniques on Students of Occupational Therapy during the First Visit to the Dissection Room.Healthcare (Basel, Switzerland) · 2022Article
- Alpha3/alpha2 power ratios relate to performance on a virtual reality shopping task in ageing adults.Frontiers in aging neuroscience · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundCognitive deficits are present in several neuropsychiatric disorders, including Alzheimer disease, schizophrenia, and depression. Assessments used to measure cognition in these disorders are time-consuming, burdensome, and have low ecological validity. To address these limitations, we developed a novel virtual reality shopping task-VStore.
objectiveThis study aims to establish the construct validity of VStore in relation to the established computerized cognitive battery, Cogstate, and explore its sensitivity to age-related cognitive decline.
methodsA total of 142 healthy volunteers aged 20-79 years participated in the study. The main VStore outcomes included verbal recall of 12 grocery items, time to collect items, time to select items on a self-checkout machine, time to make the payment, time to order coffee, and total completion time. Construct validity was examined through a series of backward elimination regression models to establish which Cogstate tasks, measuring attention, processing speed, verbal and visual learning, working memory, executive function, and paired associate learning, in addition to age and technological familiarity, best predicted VStore performance. In addition, 2 ridge regression and 2 logistic regression models supplemented with receiver operating characteristic curves were built, with VStore outcomes in the first model and Cogstate outcomes in the second model entered as predictors of age and age cohorts, respectively.
resultsOverall VStore performance, as indexed by the total time spent completing the task, was best explained by Cogstate tasks measuring attention, working memory, paired associate learning, and age and technological familiarity, accounting for 47% of the variance. In addition, with λ=5.16, the ridge regression model selected 5 parameters for VStore when predicting age (mean squared error 185.80, SE 19.34), and with λ=9.49 for Cogstate, the model selected all 8 tasks (mean squared error 226.80, SE 23.48). Finally, VStore was found to be highly sensitive (87%) and specific (91.7%) to age cohorts, with 94.6% of the area under the receiver operating characteristic curve.
conclusionsOur findings suggest that VStore is a promising assessment that engages standard cognitive domains and is sensitive to age-related cognitive decline.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.