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Deep technologies and safer gambling: A systematic review

2026-02Research article Open access
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dc.contributor.authorCardoso, Leonor G.
dc.contributor.authorBarroso, Beatriz C. R.
dc.contributor.authorPiccoli, Gloria
dc.contributor.authorPeixoto, Miguel
dc.contributor.authorMorgado, Pedro
dc.contributor.authorMarques, António
dc.contributor.authorRocha, Carla
dc.contributor.authorGriffiths, Mark D.
dc.contributor.authorQueirós, Ricardo
dc.contributor.authorDores, Artemisa
dc.contributor.authorPereira da Silva Marques, António José
dc.contributor.authorde Faria Távora Moreira Peixoto, Miguel
dc.date.accessioned2026-01-07T16:52:14Z
dc.date.available2026-01-07T16:52:14Z
dc.date.issued2026-02
dc.description.abstractDeep technologies combine engineering innovation and scientific findings to solve complex problems and are becoming particularly relevant to the gambling industry. With the global rise of gambling practices and the subsequent increase of gambling-related problems and disorders, deep technologies have emerged as a way to create safer online gambling environments. However, there is still limited knowledge regarding their applica bility and consequences. The present study systematically reviewed the existing literature on deep technologies in gambling environments, such as online casinos and betting platforms, and explored their potential benefits, risks, and effectiveness in promoting safer gambling experiences. This review followed the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. Searches were conducted in Web of Sci ence, PubMed, Scopus, EBSCO, and IEEE databases, and manually. A total of sixty-eight studies were included in the review. In general, four primary applications of deep technologies in online settings were found: (i) behavioural monitoring and feedback; (ii) predictive risk modelling; (iii) decision support and AI classifiers; and (iv) limit-setting/self-exclusion tools. They were primarily used to identify and classify problematic gambling, prompt individual action, regulate gambling behaviours, raise awareness of risk levels, promote responsible gambling practices, support research, interventions, and evaluate player protection initiatives. Together, the findings suggest that deep technologies offer ample opportunities to enhance gambler safety and reduce potential risks, although challenges may arise from their implementation, such as privacy and ethical concerns, malicious data use, misclassification of risk levels, and difficulties in large-scale application. Limitations and directions for future studies are discussedeng
dc.identifier.citationCardoso, L. G., Barroso, B. C. R., Piccoli, G., Peixoto, M., Morgado, P., Marques, A., Rocha, C., Griffiths, M. D., Queirós, R., & Dores, A. R. (2026). Deep technologies and safer gambling: A systematic review. Acta Psychologica, 262, 106140. https://doi.org/10.1016/j.actpsy.2025.106140
dc.identifier.doi10.1016/j.actpsy.2025.106140
dc.identifier.eissn1873-6297
dc.identifier.issn0001-6918
dc.identifier.urihttp://hdl.handle.net/10400.22/31410
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relationUID/05210/2023). 10.54499/UID/05210/2025
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/pii/S0001691825014544?via%3Dihub
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectGambling
dc.subjectDeep tech
dc.subjectSystematic review
dc.subjectProblematic gambling
dc.subjectEarly detection
dc.subjectPrevention Intervention
dc.titleDeep technologies and safer gambling: A systematic revieweng
dc.typeresearch article
dspace.entity.typePublication
oaire.citation.titleActa Psychologica
oaire.citation.volume262
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNamePereira da Silva Marques
person.familyNamede Faria Távora Moreira Peixoto
person.givenNameAntónio José
person.givenNameMiguel
person.identifierU-7458-2017
person.identifier.ciencia-id8811-40B4-D5FC
person.identifier.ciencia-idCB15-0DC5-0AD5
person.identifier.orcid0000-0002-8656-5023
person.identifier.orcid0000-0002-6361-1066
relation.isAuthorOfPublicationaf6a03ee-cd62-426a-980a-b5c92c4b46d5
relation.isAuthorOfPublicatione9d4fc39-5a5e-427a-9402-cf343906dd2e
relation.isAuthorOfPublication.latestForDiscoveryaf6a03ee-cd62-426a-980a-b5c92c4b46d5

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