國立虎尾科技大學 |

Artificial Intelligence, Humanization, and Health Beliefs /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Artificial Intelligence, Humanization, and Health Beliefs // Matthew R Leitao.
Author:	Leitao, Matthew R.,
Description:	1 electronic resource (139 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-02, Section: B.
Contained By:	Dissertations Abstracts International86-02B.
Subject:	Social psychology. -
Online resource:	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:

554804
Social psychology.
Subjects--Index Terms:

Medical artificial intelligence

Artificial Intelligence, Humanization, and Health Beliefs /
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520 $a 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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