Puzzling With Online Games (BAM-COG): Reliability, Validity, and Feasibility of an Online Self-Monitor for Cognitive Performance in Aging Adults
Open accessAbstract
BACKGROUND: Online interventions are aiming increasingly at cognitive outcome measures but so far no easy and fast self-monitors for cognition have been validated or proven reliable and feasible. OBJECTIVE: This study examines a new instrument called the Brain Aging Monitor-Cognitive Assessment Battery (BAM-COG) for its alternate forms reliability, face and content validity, and convergent and divergent validity. Also, reference values are provided. METHODS: The BAM-COG consists of four easily accessible, short, yet challenging puzzle games that have been developed to measure working memory ("Conveyer Belt"), visuospatial short-term memory ("Sunshine"), episodic recognition memory ("Viewpoint"), and planning ("Papyrinth"). A total of 641 participants were recruited for this study. Of these, 397 adults, 40 years and older (mean 54.9, SD 9.6), were eligible for analysis. Study participants played all games three times with 14 days in between sets. Face and content validity were based on expert opinion. Alternate forms reliability (AFR) was measured by comparing scores on different versions of the BAM-COG and expressed with an intraclass correlation (ICC: two-way mixed; consistency at 95%). Convergent validity (CV) was provided by comparing BAM-COG scores to gold-standard paper-and-pencil and computer-assisted cognitive assessment. Divergent validity (DV) was measured by comparing BAM-COG scores to the National Adult Reading Test IQ (NART-IQ) estimate. Both CV and DV are expressed as Spearman rho correlation coefficients. RESULTS: Three out of four games showed adequate results on AFR, CV, and DV measures. The games Conveyer Belt, Sunshine, and Papyrinth have AFR ICCs of .420, .426, and .645 respectively. Also, these games had good to very good CV correlations: rho=.577 (P=.001), rho=.669 (P<.001), and rho=.400 (P=.04), respectively. Last, as expected, DV correlations were low: rho=-.029 (P=.44), rho=-.029 (P=.45), and rho=-.134 (P=.28) respectively. The game Viewpoint provided less desirable results with an AFR ICC of .167, CV rho=.202 (P=.15), and DV rho=-.162 (P=.21). CONCLUSIONS: This study provides evidence for the use of the BAM-COG test battery as a feasible, reliable, and valid tool to monitor cognitive performance in healthy adults in an online setting. Three out of four games have good psychometric characteristics to measure working memory, visuospatial short-term memory, and planning capacity.
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A common feature was that task sessions were kept as short as possible to make them more convenient and increase likelihood of completion.
“A common feature was that task sessions were kept as short as possible to make them more convenient and to increase likelihood of completion [28,32].”
From Gamification of Cognitive Assessment and Cognitive Training: A Systematic Review of Applications and Efficacy (2016) · cites this paper as [28]
Sample correlations from some simpler validation studies suggest intertask correlations of 0.45-0.60.
“However, sample correlations from some of the simpler validation studies suggest intertask correlations of 0.45-0.60 [28,37,39,63].”
From Gamification of Cognitive Assessment and Cognitive Training: A Systematic Review of Applications and Efficacy (2016) · cites this paper as [28]
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Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282 · see citing works
Statistical power analyses using G∗Power 3.1: tests for correlation and regression analyses
Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009) · Behavior Research Methods · doi:10.3758/brm.41.4.1149 · Cited by 37,615 · see citing works
QUANTIFYING TEST-RETEST RELIABILITY USING THE INTRACLASS CORRELATION COEFFICIENT AND THE SEM
Weir, J. P. (2005) · The Journal of Strength and Conditioning Research · doi:10.1519/15184.1 · Cited by 4,864 · see citing works
Measurement in Medicine: The Analysis of Method Comparison Studies
Altman, D. G., & Bland, J. M. (1983) · The Statistician · doi:10.2307/2987937 · Cited by 4,300 · see citing works
Wechsler Adult Intelligence Scale-III
Ryan, J. J., & Lopez, S. J. (2001) · Springer eBooks · doi:10.1007/978-1-4615-1185-4_2 · Cited by 3,680 · see citing works
Eysenbach, G. (2005) · Journal of Medical Internet Research · doi:10.2196/jmir.7.1.e11 · Cited by 2,524 · see citing works
Decomposing adult age differences in working memory
Salthouse, T. A., & Babcock, R. L. (1991) · Developmental Psychology · doi:10.1037/0012-1649.27.5.763 · Cited by 1,373 · see citing works
Age-associated cognitive decline
Deary, I. J., Corley, J., Gow, A. J., Harris, S. E., Houlihan, L. M., Marioni, R. E., Penke, L., Rafnsson, S. B., & Starr, J. M. (2009) · British Medical Bulletin · doi:10.1093/bmb/ldp033 · Cited by 1,295 · see citing works
Robbins, T. W., James, M., Owen, A. M., Sahakian, B. J., McInnes, L., & Rabbitt, P. (1994) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000106735 · Cited by 1,078 · see citing works
Baranowski, T., Buday, R., Thompson, D. I., & Baranowski, J. (2008) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2007.09.027 · Cited by 998 · see citing works
Timing of onset of cognitive decline: results from Whitehall II prospective cohort study
Singh-Manoux, A., Kivimaki, M., Glymour, M. M., Elbaz, A., Berr, C., Ebmeier, K. P., Ferrie, J. E., & Dugravot, A. (2012) · BMJ · doi:10.1136/bmj.d7622 · Cited by 836 · see citing works
Baddeley, A., Logie, R. H., Bressi, S., Sala, S. D., & Spinnler, H. R. (1986) · The Quarterly Journal of Experimental Psychology Section A · doi:10.1080/14640748608401616 · Cited by 698 · see citing works
New directions in eHealth communication: Opportunities and challenges
Kreps, G. L., & Neuhauser, L. (2010) · Patient Education and Counseling · doi:10.1016/j.pec.2010.01.013 · Cited by 546 · see citing works
Portnoy, D. B., Scott-Sheldon, L. A. J., Johnson, B. T., & Carey, M. P. (2008) · Preventive Medicine · doi:10.1016/j.ypmed.2008.02.014 · Cited by 451 · see citing works
Online Prevention Aimed at Lifestyle Behaviors: A Systematic Review of Reviews
Kohl, L. F., Crutzen, R., & de Vries, N. K. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2665 · Cited by 388 · see citing works
Cugelman, B., Thelwall, M., & Dawes, P. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1367 · Cited by 323 · cited 1× · see citing works
“Also, dropout rates may be high, which will subsequently heavily affect the power of a study [13] .”
BackgroundNorris, G., & Tate, R. L. (2000) · Neuropsychological Rehabilitation · doi:10.1080/096020100389282 · Cited by 249 · see citing works
Psychological Testing on the Internet: New Problems, Old Issues.
Naglieri, J. A., Drasgow, F., Schmit, M. J., Handler, L., Prifitera, A., Margolis, A. E., & Velasquez, R. J. (2004) · American Psychologist · doi:10.1037/0003-066x.59.3.150 · Cited by 246 · see citing works
Neuropsychological Assessment, 4th Edition
Mapstone, M. E. (2005) · Neurology · doi:10.1212/01.wnl.0000156290.58489.54 · Cited by 238 · see citing works
Impact of aging brain circuits on cognition
Samson, R. D., & Barnes, C. A. (2013) · European Journal of Neuroscience · doi:10.1111/ejn.12183 · Cited by 184 · see citing works
Testing cognitive function in elderly populations: the PROSPER study
Houx, P. J. (2002) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.73.4.385 · Cited by 153 · see citing works
Internet Cognitive Testing of Large Samples Needed in Genetic Research
Haworth, C., Harlaar, N., Kovas, Y., Davis, O., Oliver, B. R., Hayiou-Thomas, M., Frances, J., Busfield, P., McMillan, A., Dale, P. S., et al. (2007) · Twin Research and Human Genetics · doi:10.1375/twin.10.4.554 · Cited by 139 · see citing works
The Prevalence of Problematic Video Gamers in The Netherlands
Haagsma, M. C., Pieterse, M. E., & Peters, O. (2012) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2011.0248 · Cited by 128 · see citing works
Khadjesari, Z., Murray, E., Kalaitzaki, E., White, I. R., McCambridge, J., Thompson, S. G., Wallace, P., & Godfrey, C. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1523 · Cited by 114 · see citing works
The Science of Internet Interventions
Ritterband, L. M., & Tate, D. F. (2009) · Annals of Behavioral Medicine · doi:10.1007/s12160-009-9132-5 · Cited by 111 · see citing works
Murre, J. M. J., Janssen, S. M. J., Rouw, R., & Meeter, M. (2012) · Acta Psychologica · doi:10.1016/j.actpsy.2012.10.005 · Cited by 95 · see citing works
Mouthaan, J., Sijbrandij, M., de Vries, G.-J., Reitsma, J. B., van de Schoot, R., Goslings, J. C., Luitse, J. S., Bakker, F. C., Gersons, B. P., & Olff, M. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2460 · Cited by 90 · see citing works
Sternberg, D. A., Ballard, K., Hardy, J. L., Katz, B., Doraiswamy, P. M., & Scanlon, M. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00292 · Cited by 88 · see citing works
Mather, M. (2010) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.64 · Cited by 74 · see citing works
Towards the Framework of Adaptive User Interfaces for eHealth
Vasilyeva, E., Pechenizkiy, M., & Puuronen, S. J. (2005) · Proceedings - IEEE Symposium on Computer-Based Medical Systems · doi:10.1109/cbms.2005.101 · Cited by 45 · see citing works
Differential effect of aging on verbal and visuo-spatial working memory.
Kumar, N., & Priyadarshi, B. (2013) · Europe PMC (PubMed Central) · Cited by 35 · see citing works
Construct validity of the continuous visual memory test
Larrabee, G. J., Trahan, D. E., & Curtiss, G. (1992) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/7.5.395 · Cited by 34 · see citing works
Eve, C. T., & de Jager, C. A. (2013) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.3993 · Cited by 31 · see citing works
Janssen, S., Tange, H. J., & Arends, R. (2013) · Games for Health Journal · doi:10.1089/g4h.2012.0074 · Cited by 29 · see citing works
Visual recognition memory in normal adults and patients with unilateral vascular lesions
Trahan, D. E., Larrabee, G. J., & Quintana, J. W. (1990) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/01688639008401027 · Cited by 29 · see citing works
Miller, T. A., Vaux‐Bjerke, A., McDonnell, K. A., & DiPietro, L. (2013) · Games for Health Journal · doi:10.1089/g4h.2012.0058 · Cited by 12 · see citing works
Bower, K. J., Clark, R. A., McGinley, J. L., Martin, C. L., & Miller, K. J. (2013) · Games for Health Journal · doi:10.1089/g4h.2012.0069 · Cited by 9 · see citing works
The path towards eHealth: obstacles along the way.
Jadad, A. R., & Enkin, M. W. (2006) · PubMed · Cited by 8 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- [18]Lezak MD Howieson DB Bigler ED Tranel D Neuropsychological Assessment. 5th edition 2012 New York, NY Oxford University Press, Inc
- [28]Wechsler D Wechsler Memory Scale –Third edition: Administration and scoring manual 1997 San Antonio, TX The Psychological Corporation
Cited by
Sorted by citations
Lumsden, J., Edwards, E. A., Lawrence, N. S., Coyle, D., & Munafò, M. R. (2016) · JMIR Serious Games · doi:10.2196/games.5888 · Cited by 555 · see citing works
“[25] Testing Groundskeeper A machine learning-based analysis of game data for attention deficit hyper-activity disorder assessment Heller et al, 2013 [26] Testing EM-Ants and Ghost Trap Gamelike features might not improve data Hawkins et al, 2013 [9] Both Tap the Hedgehog In-game assessment and training of nonverbal c…”
BackgroundMethodInfluentialEngeroff, T., Ingmann, T., & Banzer, W. E. (2018) · Sports Medicine · doi:10.1007/s40279-018-0920-6 · Cited by 127 · see citing works
Trends on the application of serious games to neuropsychological evaluation: A scoping review
Valladares‐Rodríguez, S., Pérez-Rodríguez, R., Anido, L., & Iglesias, M. J. F. (2016) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2016.10.019 · Cited by 112 · see citing works
A Gamification Framework for Cognitive Assessment and Cognitive Training: Qualitative Study
Khaleghi, A., Aghaei, Z., & Mahdavi, M. A. (2021) · JMIR Serious Games · doi:10.2196/21900 · Cited by 106 · see citing works
Feenstra, H. E. M., Murre, J. M. J., Vermeulen, I., Kieffer, J. M., & Schagen, S. B. (2017) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2017.1339017 · Cited by 89 · see citing works
Robert, P. H., Manera, V., Derreumaux, A., y Montesino, M. F., Leone, E., Fabre, R., & Bourgeois, J. (2020) · Journal of Medical Internet Research · doi:10.2196/17167 · Cited by 85 · see citing works
Recommendations for the Use of Serious Games in Neurodegenerative Disorders: 2016 Delphi Panel
Manera, V., Ben-Sadoun, G., Aalbers, T., Agopyan, H., Askenazy-Gittard, F., Benoît, M., Bensamoun, D., Bourgeois, J., Bredin, J., Brémond, F., et al. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01243 · Cited by 81 · see citing works
Self-citationOnline cognition: factors facilitating reliable online neuropsychological test results
Feenstra, H. E. M., Vermeulen, I., Murre, J. M. J., & Schagen, S. B. (2016) · The Clinical Neuropsychologist · doi:10.1080/13854046.2016.1190405 · Cited by 70 · see citing works
Web-Based Multidomain Lifestyle Programs for Brain Health: Comprehensive Overview and Meta-Analysis
Wesselman, L. M. P., Hooghiemstra, A. M., Schoonmade, L. J., de Wit, M. C., van der Flier, W. M., & Sikkes, S. A. M. (2019) · JMIR Mental Health · doi:10.2196/12104 · Cited by 60 · see citing works
Touchscreen games to detect cognitive impairment in senior adults. A user-interaction pilot study
Valladares-Rodriguez, S., Fernández-Iglesias, M. J., Anido-Rifón, L., Facal, D., Rivas-Costa, C., & Pérez-Rodríguez, R. (2019) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2019.04.012 · Cited by 55 · see citing works
Valladares‐Rodríguez, S., Perez-Rodriguez, R., Facal-Mayo, D., Iglesias, M. J. F., Anido, L., & Mouriño-García, M. (2017) · PeerJ · doi:10.7717/peerj.3508 · Cited by 55 · see citing works
Feenstra, H. E. M., Vermeulen, I., Murre, J. M. J., & Schagen, S. B. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9298 · Cited by 47 · see citing works
Use of the Internet as a prevention tool against cognitive decline in normal aging
Klímová, B. (2016) · Clinical Interventions in Aging · doi:10.2147/cia.s113758 · Cited by 46 · see citing works
Tziraki, C., Berenbaum, R. L. J., Gross, D., Abikhzer, J., & Ben‐David, B. M. (2017) · JMIR Serious Games · doi:10.2196/games.6514 · Cited by 44 · see citing works
Bottiroli, S., Tassorelli, C., Lamonica, M., Zucchella, C., Cavallini, E., Bernini, S., Sinforiani, E., Pazzi, S., Paolo, C., Vecchi, T., et al. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00379 · Cited by 32 · see citing works
Cyr, A.-A., Romero, K., & Galin-Corini, L. (2020) · JMIR Aging · doi:10.2196/23384 · Cited by 31 · see citing works
Virtual reality assessments (VRAs): Exploring the reliability and validity of evaluations in VR
Sanchez, D. R., Weiner, E., & Zelderen, A. P. A. V. (2022) · International Journal of Selection and Assessment · doi:10.1111/ijsa.12369 · Cited by 30 · see citing works
Episodix: a serious game to detect cognitive impairment in senior adults. A psychometric study
Valladares‐Rodríguez, S., Iglesias, M. J. F., Anido, L., Facal-Mayo, D., & Pérez-Rodríguez, R. (2018) · PeerJ · doi:10.7717/peerj.5478 · Cited by 29 · see citing works
Aalbers, T., Li, Q., Baars, M. A. E., de Lange, A. H., Kessels, R. P. C., & Rikkert, M. G. M. O. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5269 · Cited by 28 · see citing works
Self-citationDorociak, K. E., Mattek, N., Lee, J., Leese, M. I., Bouranis, N., Imtiaz, D., Doane, B. M., Bernstein, J. P. K., Kaye, J. A., & Hughes, A. M. (2021) · Gerontology · doi:10.1159/000514871 · Cited by 25 · see citing works
Sacco, G., Ben-Sadoun, G., Bourgeois, J., Fabre, R., Manera, V., & Robert, P. H. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-180396 · Cited by 25 · see citing works
Screening for Mild Cognitive Impairment in the Preoperative Setting: A Narrative Review
Pas, M. T., Rikkert, M. G. M. O., Bouwman, R. A., Kessels, R. P. C., & Buise, M. P. (2022) · Healthcare · doi:10.3390/healthcare10061112 · Cited by 24 · see citing works
Self-citationFISHERMAN: A Serious Game for Executive Function Assessment of Older Adults
Wang, P., Fang, Y., Qi, J.-Y., & Li, H. (2022) · Assessment · doi:10.1177/10731911221105648 · Cited by 23 · see citing works
Costa, C. R., Iglesias, M. J. F., Anido, L., Carballa, M. G., & Valladares‐Rodríguez, S. (2017) · PeerJ · doi:10.7717/peerj.2845 · Cited by 20 · see citing works
Do-It-Yourself Gamified Cognitive Training: Viewpoint
van de Weijer, S. C. F., Kuijf, M. L., de Vries, N. M., Bloem, B. R., & Duits, A. (2019) · JMIR Serious Games · doi:10.2196/12130 · Cited by 19 · see citing works
A video game for the neuropsychological screening of children
Rosetti, M., Gómez-Tello, M. F., Victoria, G., & Apiquián, R. (2017) · Entertainment Computing · doi:10.1016/j.entcom.2017.02.002 · Cited by 17 · see citing works
Aalbers, T., Baars, M. A. E., Li, Q., de Lange, A. H., Kessels, R. P. C., & Rikkert, M. G. M. O. (2015) · JMIR Research Protocols · doi:10.2196/resprot.4468 · Cited by 14 · see citing works
Self-citationAnalysis and classification of serious games for cognitive stimulation
Zaki, N. A. A., Wook, T. S. M. T., & Ahmad, K. (2015) · doi:10.1109/iceei.2015.7352572 · Cited by 14 · see citing works
Participation and engagement in online cognitive testing
Sokołowski, D. R., Pani, J., Hansen, T. I., & Haberg, A. K. (2024) · Scientific Reports · doi:10.1038/s41598-024-65617-w · Cited by 10 · see citing works
Crocetta, T. B., Guarnieri, R., Massetti, T., da Silva, T. D., Barbosa, R. T. D. A., Antão, J. Y. F. D. L., de Abreu, L. C., & Monteiro, C. B. D. M. (2019) · Measurement in Physical Education and Exercise Science · doi:10.1080/1091367x.2018.1560297 · Cited by 9 · see citing works
Visser, L. N. C., Dubbelman, M. A., Verrijp, M., Wanders, L., Pelt, S., Zwan, M. D., Thijssen, D. H. J., Wouters, H., Sikkes, S. A. M., van Hout, H. P. J., et al. (2021) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12234 · Cited by 9 · see citing works
Wouters, H., Aalbers, T., Maessen, M. F. H., Verbeek, A. L. M., Rikkert, M. G. M. O., Kessels, R. P. C., Hopman, M. T. E., & Eijsvogels, T. M. H. (2017) · Rejuvenation Research · doi:10.1089/rej.2016.1876 · Cited by 8 · see citing works
Self-citationO’Laughlin, K. D., Cheng, B. H., Volponi, J. J., Lorentz, J. D. A., Obregon, S. A., Younger, J. W., Gazzaley, A. H., Uncapher, M. R., & Anguera, J. A. (2025) · Journal of Medical Internet Research · doi:10.2196/60041 · Cited by 7 · see citing works
Sloane, K. L., Fabian, R., Wright, A. E., Saxena, S., Kim, K., Stein, C. M., Keser, Z., Glenn, S., & Hillis, A. E. (2023) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000527060 · Cited by 7 · see citing works
Veraksa, N. E., Сергеевна, А. М., Сергеевна, Т. К., & Klimenko, V. A. (2023) · Вестник Российского университета дружбы народов. Серия: Психология и педагогика · doi:10.22363/2313-1683-2023-20-1-105-125 · Cited by 6 · see citing works
Bhargava, Y., Sumanth, S., Deshmukh, A., & Baths, V. (2025) · IEEE Access · doi:10.1109/access.2025.3557454 · Cited by 4 · see citing works
Modelling Behaviours of People Living with Neurodegenerative Conditions
Ghaleb, E., Semerci, Y. C., & Asteriadis, S. (2022) · International Conference on PErvasive Technologies Related to Assistive Environments (PETRA) · doi:10.1145/3529190.3534721 · Cited by 4 · see citing works
Rikkert, M. G. M. O., Claassen, J. A. H. R., & Koopmans, R. T. C. M. (2016) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2016.02.021 · Cited by 4 · see citing works
Cognitive assessment in neurodegenerative diseases: A review of interactive methods
Li, H., Yang, G., Su, Z., Xu, B., Hu, B., & He, L. (2025) · Information Fusion · doi:10.1016/j.inffus.2025.103836 · Cited by 3 · see citing works
Leese, M. I., Mattek, N., Bernstein, J. P. K., Dorociak, K. E., Gothard, S., Kaye, J. A., & Hughes, A. M. (2022) · The Clinical Neuropsychologist · doi:10.1080/13854046.2022.2103033 · Cited by 3 · see citing works
Tsiaras, Y., Koutsonida, M., Varthi, M.-A., Galliou, I., Zoubouli, C., & Aretouli, E. (2024) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2024.2376839 · Cited by 2 · see citing works
Godwin, K. E., Lomas, D., Koedinger, K. R., & Fisher, A. V. (2018) · Advances in game-based learning book series · doi:10.4018/978-1-5225-7461-3.ch006 · Cited by 2 · see citing works
Pas, M. T., Adelaars, S., Bouwman, R. A., Kessels, R. P. C., Rikkert, M. G. M. O., van de Kerkhof, D., Oosterbos, E., & Buise, M. P. (2025) · PLOS Digital Health · doi:10.1371/journal.pdig.0001005 · Cited by 1 · see citing works
Self-citationPsychometric evidence of digital and online executive function tests: a systematic review
Neves-Teles, T., de Souza, J. B., Zanon, C., & de Almeida, R. M. M. (2026) · International Journal of Testing · doi:10.1080/15305058.2026.2639759 · Cited by 1 · see citing works
Neves-Teles, T., de Souza, J. B., & de Almeida, R. M. M. (2024) · Research Square · doi:10.21203/rs.3.rs-5161193/v1 · Cited by 1 · see citing works
Digital technology-enabled home health care
van de Weijer, S. C. F. (2021) · doi:10.26481/dis.20210901sw
Assessing Blue-Collar Workers Cognitive Skills Through Gamified Tasks and Analytics
Gupta, V., & Vaishnav, H. (2025) · International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI) · doi:10.1109/icoici65217.2025.11253268
Pas, M. T., Bouwman, R. A., Rikkert, M. G. M. O., Oosterbos, E., Tonino, P. A. L., Jansen, S. W. M., Kessels, R. P. C., & Buise, M. P. (2025) · Brain Sciences · doi:10.3390/brainsci15121342
Self-citationNeves-Teles, T., de Souza, J. B., & de Almeida, R. M. M. (2026) · Research Square · doi:10.21203/rs.3.rs-8544898/v1
Salem, A. A. G. G., Trierweiler, C. S., de Lins, E. K. R. M., Cidade, B. G., Scheffler, E. L., de Cerqueira, B. B., Cardoso, C. D. O., Dias, N. M., Mossmann, J. B., Barth, M., et al. (2026) · Applied Neuropsychology Adult · doi:10.1080/23279095.2026.2613740
- Authors
- Aalbers, T., Baars, M. A. E., Olde Rikkert, M. G. M., & Kessels, R. P. C.
- Affiliations
- Radboud University Medical Center (NL)
- Radboud University Nijmegen (NL)
- Corresponding author
- Aalbers, Teun
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2013-12-03
- Volume
- 15
- Issue
- 12
- Pages
- e270
- ISSN
- 1438-8871 (ISSN-L)
- PMC
- PMC3868977
- OpenAlex
- W2159231746
- Cited by
- 59
- References
- 38
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 3 · 2023: 2 · 2022: 5 · 2021: 4 · 2020: 2 · 2019: 5 · 2018: 10 · 2017: 12 · 2016: 6 · 2015: 2
- FWCI
- 3.61
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- other-oa
- Locations
- Journal of Medical Internet Research (publishedVersion, other-oa)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Radboud Repository (Radboud University) (submittedVersion, cc-by)
- Radboud Repository (Radboud University) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion, other-oa)
- Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Social Sciences › Psychology › Clinical Psychology › Historical and Modern Theater Studies
- Keywords
- puzzle games, cognitive aging, working memory, visuospatial short-term memory, planning, convergent validity, discriminant validity, reference values, older adults, cognitive assessment, online intervention, feasibility
- MeSH terms
- Adult, Aged, Aging, Cognition, Feasibility Studies, Female, Humans, Male, Middle Aged, Online Systems, Reference Values, Reproducibility of Results, Cohort Studies, Telemedicine, Video Games, Internet, Diagnostic Self Evaluation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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