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Artificial Intelligence, Humanization, and Health Beliefs /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Artificial Intelligence, Humanization, and Health Beliefs // Matthew R Leitao.
作者:
Leitao, Matthew R.,
面頁冊數:
1 electronic resource (139 pages)
附註:
Source: Dissertations Abstracts International, Volume: 86-02, Section: B.
Contained By:
Dissertations Abstracts International86-02B.
標題:
Experimental psychology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31557196
ISBN:
9798384029243
Artificial Intelligence, Humanization, and Health Beliefs /
Leitao, Matthew R.,
Artificial Intelligence, Humanization, and Health Beliefs /
Matthew R Leitao. - 1 electronic resource (139 pages)
Source: Dissertations Abstracts International, Volume: 86-02, Section: B.
Medical artificial intelligence (AI) has shown remarkable diagnostic and prescriptive capabilities, rivaling those of doctors. However, there is a paradox in which people regularly trust AI's recommendations less than doctors given the same recommendation. Though aversion to medical AI systems is well documented, the mechanisms driving aversion remain elusive. This dissertation aims to understand the psychological mechanisms behind this trust disparity and explores ways to bridge the trust gap. Across six preregistered studies (N > 3000), I investigated three related mechanisms influencing trust in doctors' and AI's recommendations and interventions. The mechanisms were how trust in doctors' and AI's recommendations are influenced by perceptions doctors' and AI's capabilities for quantitative reasoning and intuition, and the perception of their possession of a mind. In addition to assessing these perceptions, I conducted a study on how differences in how the source of the recommendation influenced adherence to a health intervention. This dissertation highlights how the perceived capability of doctors and AI explains differences in reported trust and how these perceptions map onto behavior. The findings have significant implications for designing and implementing AI systems in healthcare and understanding the current AI climate.
English
ISBN: 9798384029243Subjects--Topical Terms:
1180476
Experimental psychology.
Subjects--Index Terms:
Medical artificial intelligence
Artificial Intelligence, Humanization, and Health Beliefs /
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Medical artificial intelligence (AI) has shown remarkable diagnostic and prescriptive capabilities, rivaling those of doctors. However, there is a paradox in which people regularly trust AI's recommendations less than doctors given the same recommendation. Though aversion to medical AI systems is well documented, the mechanisms driving aversion remain elusive. This dissertation aims to understand the psychological mechanisms behind this trust disparity and explores ways to bridge the trust gap. Across six preregistered studies (N > 3000), I investigated three related mechanisms influencing trust in doctors' and AI's recommendations and interventions. The mechanisms were how trust in doctors' and AI's recommendations are influenced by perceptions doctors' and AI's capabilities for quantitative reasoning and intuition, and the perception of their possession of a mind. In addition to assessing these perceptions, I conducted a study on how differences in how the source of the recommendation influenced adherence to a health intervention. This dissertation highlights how the perceived capability of doctors and AI explains differences in reported trust and how these perceptions map onto behavior. The findings have significant implications for designing and implementing AI systems in healthcare and understanding the current AI climate.
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