ArticleJournal of environmental and public health2022
Development and Evaluation of an Artificial Intelligence-Based Cognitive Exercise Game: A Pilot Study.
Article in Journal of environmental and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.
- Optimizing mobile app design for older adults: systematic review of age-friendly design.Aging clinical and experimental research · 2025Pooled it
- Exploring the potential of artificial intelligence in individualized cognitive training: A systematic review.PloS one · 2025Pooled it
- Trial
- Association Rule Analysis of Cognitive Frailty Subtypes in Community-Dwelling Older Adults.Clinical interventions in aging · 2026Article
- Review
- Digital Tools for People Without an Alzheimer Disease or Dementia Diagnosis: Scoping Review.Journal of medical Internet research · 2025Article
- The Experience of and Needs for Exergames in Older Adults With Mild Cognitive Impairment: Qualitative Interview Study.JMIR serious games · 2025Article
- Artificial Intelligence in Dementia: A Bibliometric Study.Diagnostics (Basel, Switzerland) · 2023Article
- Article
- Digital health-based physical activity and cognitive function in older adults: A bibliometric analysis.Digital healthReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recently, cognitive serious games have successfully been employed to train cognitive abilities in elderly people with mild cognitive impairment, Alzheimer's disease, and related disorders. However, despite the continuous rehabilitation game design and its applications, the existing cognitive exercise games fall short of user interaction and personalized elements with regard to difficult levels, which leads to users leaving early and losing interests during the gameplay. In this regard, the purpose of the study was to design and develop the serious game inclusive of playful elements for user motivation, the web-based mobile application system for easy accessibility, and Artificial Intelligence- (AI-) based difficulty level adjustment system for prevention from earlier leaving out in the middle of the play so that the elderly users can feel entertaining and immersed into the cognitive game voluntarily. This study was designed as an eight-week pilot experiment with thirty-seven participants in their 60s to 80s for the game's usability assessment purpose. Results of the study showed that the AI-based cognitive exercise game was acceptable, interesting, and motivating for the elderly people and the test results before and after the eight-week training suggest a relationship between longer the training on the game and lower cognitive assessment scores including geriatric quality of life scale, geriatric depression scale, and Korean version of mini-mental state examination (MMSE). These correlations demonstrate the potential value of serious games in clinical assessment of cognitive status for the elderly users with varying cognitive ability. Based on these results, the elderly-centered serious game with playful element can be potentially used in clinical settings, allowing the cognitive training to be more enjoyable and more medically effective. Given these promising results, a more focused study can extend to the game system or additional game tools or features to be explored that solely target the elderly by applying AI and advanced visualization devices.
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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.