Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/161499
Título: Overcoming Resistance to Medical Artificial Intelligence [abstract]
Autor: Wagner, Rafael Luis
Pinto, Diego Costa
Dhillon, Gurpreet
Pacheco, Natália
Herter, Márcia Maurer
Palavras-chave: Consumer Behaviour
Information Systems
Marketing Strategy
Recommendation Systems
SDG 8 - Decent Work and Economic Growth
SDG 3 - Good Health and Well-being
Data: 24-Mai-2023
Editora: European Marketing Academy (EMAC)
Resumo: Recent research suggests that people tend to distrust medical recommendations provided by Artificial Intelligence (AI) compared to human providers. Drawing upon the embodied cognition theory, we add to the literature by revealing that embedding AI into wearable devices can help to overcome such aversion towards medical AI. In a series of studies, we show that perceived ability towards the provider underlies patients' intentions to follow medical AI recommendations. Furthermore, we indicate key moderators that can help overcome medical AI aversion. Implications for theory and practice are discussed contributing to the growing role of AI in medical services and the embodied cognition with the use of artificial agents.
Descrição: Wagner, R. L., Pinto, D. C., Dhillon, G., Pacheco, N., & Herter, M. M. (2023). Overcoming Resistance to Medical Artificial Intelligence [abstract]. In Proceedings of the European Marketing Academy, 52nd [112709] European Marketing Academy (EMAC). https://proceedings.emac-online.org/pdfs/A2023-112709.pdf
Peer review: yes
URI: http://hdl.handle.net/10362/161499
ISSN: 2709-1589
Aparece nas colecções:NIMS: MagIC - Documentos de conferências internacionais

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