東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Artificial Intelligence, Humanizatio...

Leitao, Matthew R.,

FindBook

Google Book

Amazon

博客來

Artificial Intelligence, Humanization, and Health Beliefs /

紀錄類型:	書目-電子資源 : 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:	Social psychology. -
電子資源:	https://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:

520219
Social psychology.
Subjects--Index Terms:

Medical artificial intelligence

Artificial Intelligence, Humanization, and Health Beliefs /
LDR:02805nmm a22004453i 4500 001 2431332
005 20250603111430.5
006 m o d
007 cr|nu||||||||
008 261011s2024 miu||||||m |||||||eng d
020 $a 9798384029243
035 $a (MiAaPQD)AAI31557196
035 $a AAI31557196
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Leitao, Matthew R., $e author. $0 (orcid)0000-0002-0942-5051 $3 3820082
245 1 0 $a Artificial Intelligence, Humanization, and Health Beliefs / $c Matthew R Leitao.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (139 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 86-02, Section: B.
500 $a Advisors: Parrott, W. Gerrod Committee members: Logg, Jennifer; Chentsova Dutton, Yulia; Waytz, Adam.
502 $b Ph.D. $c Georgetown University $d 2024.
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.
546 $a English
590 $a School code: 0076
650 4 $a Social psychology. $3 520219
650 4 $a Experimental psychology. $3 2144733
653 $a Medical artificial intelligence
653 $a Algorithms
653 $a Doctors
653 $a Health beliefs
653 $a Healthcare
653 $a Technology
690 $a 0451
690 $a 0623
690 $a 0800
710 2 $a Georgetown University. $b Psychology. $e degree granting institution. $3 3820083
720 1 $a Parrott, W. Gerrod $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 86-02B.
790 $a 0076
791 $a Ph.D.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31557196