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 |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Overcoming_Resistance_to_Medical_Artificial_Intelligence.pdf | 225,87 kB | Adobe PDF | Ver/Abrir |
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