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Algorithm Delegation

2025-11Artigo científico Acesso embargado
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dc.contributor.authorWagner, Rafael Luis
dc.contributor.authorPinto, Diego Costa
dc.contributor.authorHildebrand, Diogo
dc.contributor.authorPacheco, Natália Araújo
dc.contributor.authorDhillon, Gurpreet
dc.contributor.authorHerter, Marcia Maurer
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.pblWiley
dc.date.accessioned2025-07-31T21:19:59Z
dc.date.embargoedUntil2027-07-22
dc.date.issued2025-11
dc.descriptionWagner, R. L., Pinto, D. C., Hildebrand, D., Pacheco, N. A., Dhillon, G., & Herter, M. M. (2025). Algorithm Delegation: How Embedded AI Facilitates Agency Transference in Medical Services. Psychology and Marketing, 42(11), 2902-2921. https://doi.org/10.1002/mar.70016 --- %ABS3% --- Funding: ENSILIS ‐ Educação e Formação Unipessoal, Fundação Para a Ciência e Tecnologia (FCT) (2024.07397. IACDC, UIDB/04152/2020), and European Health and Digital Executive Agency (HaDEA) (101219225).
dc.description.abstractIntegrating insights from psychological distance and human-AI agency theories, this research explores embedded AI — algorithms physically integrated into tangible devices as a novel mechanism to help overcome resistance towards medical AI. Across four studies, including a large text-mining (n = 224,433 reviews) and three controlled experiments (n = 677 participants), we show that embedded AI reduces psychological distance between consumers and AI (Study 2B), which in turn enhances willingness to delegate medical decisions to algorithms (Studies 1-3). We further demonstrate that consumers expect better health outcomes when delegating decisions to embedded AI (Studies 2A, 2B, and 3). Moderation analysis further shows that these effects weaken when an analytical mode is primed using numerical accuracy information (Study 3). Our findings contribute to ongoing discussions on overcoming resistance to medical AI and offer implications for the design of AI-based technologies in medical services.en
dc.description.versionauthorsversion
dc.description.versionpublished
dc.format.extent20
dc.format.extent676707
dc.identifier.doi10.1002/mar.70016
dc.identifier.issn0742-6046
dc.identifier.otherPURE: 121778799
dc.identifier.otherPURE UUID: 4eac6301-3404-4a3f-a38d-a2d4ca07140f
dc.identifier.otherScopus: 105011271964
dc.identifier.otherWOS: 001532800000001
dc.identifier.otherORCID: /0000-0003-4418-9450/work/189008202
dc.identifier.urihttp://hdl.handle.net/10362/185846
dc.identifier.urlhttps://www.scopus.com/pages/publications/105011271964
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:001532800000001
dc.language.isoeng
dc.peerreviewedyes
dc.relationhttps://doi.org/10.54499/2024.07397.IACDC
dc.subjectartificial intelligence
dc.subjectdelegation
dc.subjectembedded AI
dc.subjecthuman-AI agency
dc.subjectmedical services
dc.subjectpsychological distance
dc.subjectApplied Psychology
dc.subjectMarketing
dc.subjectSDG 3 - Good Health and Well-being
dc.subjectSDG 8 - Decent Work and Economic Growth
dc.titleAlgorithm Delegationen
dc.title.subtitleHow Embedded AI Facilitates Agency Transference in Medical Servicesen
dc.typejournal article
degois.publication.firstPage2902
degois.publication.issue11
degois.publication.lastPage2921
degois.publication.titlePsychology and Marketing
degois.publication.volume42
dspace.entity.typePublication
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NIMS: MagIC - Artigos em revista internacional com arbitragem científica (Peer-Review articles in international journals)