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Overcoming Resistance to Medical Artificial Intelligence [abstract]

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Detalhes bibliográficos
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.
Autores principais:Wagner, Rafael Luis
Outros Autores:Pinto, Diego Costa; Dhillon, Gurpreet; Pacheco, Natália; Herter, Márcia Maurer
Assunto:Consumer Behaviour Information Systems Marketing Strategy Recommendation Systems SDG 8 - Decent Work and Economic Growth SDG 3 - Good Health and Well-being
Ano:2023
País:Portugal
Tipo de documento:documento de conferência
Tipo de acesso:acesso aberto
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL
Descrição
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.