Evidence map›Paper›PMID 40218594›Full record

ArticleSensors (Basel, Switzerland)2025

Feasibility of Augmented Reality-Based Cognitive Training for Older Adults: The MarketMind AR Approach.

Konstantinos Kakoutopoulos, Emmanouil Drakakis, Anastasia Papadopoulou, Christos Goumopoulos

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Konstantinos KakoutopoulosInformation & Communication Systems Engineering Department, University of the Aegean, 83200 Samos, Greece.
Emmanouil DrakakisInformation & Communication Systems Engineering Department, University of the Aegean, 83200 Samos, Greece.ORCID 0009-0008-6499-2316
Anastasia PapadopoulouInformation & Communication Systems Engineering Department, University of the Aegean, 83200 Samos, Greece.
Christos GoumopoulosInformation & Communication Systems Engineering Department, University of the Aegean, 83200 Samos, Greece.ORCID 0000-0003-1096-4439

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aging population increases the need for accessible interventions for cognitive training of the elderly to preserve cognitive health. Serious games have been widely used for this purpose, with many existing applications leveraging virtual reality (VR) technology. In contrast, this study explores the potential of augmented reality (AR) for cognitive training. The literature review shows that cognitive training interventions typically employ supermarket-themed serious games that are used extensively in such interventions. MarketMind AR is a supermarket-themed serious game that was created to train memory, attention, and executive function using mobile phone sensors such as cameras, accelerometers, and gyroscopes to interact and recognize the environment. Fifteen older adults participated in a three-attempt trial and completed the System Usability Scale (SUS), the in-game Game Experience Questionnaire (iGEQ), and an adapted version of the Unified Theory of Acceptance and Use of Technology (UTAUT) questionnaires. Qualitative interviews and in-game data (e.g., completion times, PIN recall) were also examined. The results indicated that participants had a positive experience, confirming ease of use, immersive appeal, and perceived cognitive benefits, despite some difficulties with environment scanning and object detection. The results provide evidence that an AR supermarket game leveraging mobile sensors has the potential to be an effective cognitive training tool for older adults.

Indexed as

Augmented RealityCognitionAgedAged, 80 and overCognitive TrainingFeasibility StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesVideo GamesVirtual Realityaugmented realitycognitive trainingelderlygame experience questionnaire (GEQ)serious gamessystem usability scale (SUS)unified theory of acceptance and use of technology (UTAUT)

Identifiers

PMID40218594
PMCPMC11991451

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.