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Factors Affecting Appropriate Reliance on Artificial Intelligence Decision Support Systems.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Factors Affecting Appropriate Reliance on Artificial Intelligence Decision Support Systems./
作者:	Dunning, Richard E.
面頁冊數:	1 online resource (305 pages)
附註:	Source: Dissertations Abstracts International, Volume: 86-02, Section: A.
Contained By:	Dissertations Abstracts International86-02A.
標題:	Engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9798383698587

Factors Affecting Appropriate Reliance on Artificial Intelligence Decision Support Systems.
Dunning, Richard E.

Factors Affecting Appropriate Reliance on Artificial Intelligence Decision Support Systems. - 1 online resource (305 pages)

Source: Dissertations Abstracts International, Volume: 86-02, Section: A.

Thesis (Ph.D.)--Carnegie Mellon University, 2024.

Includes bibliographical references

Many applications of AI require humans and AI advisors to make decisions collaboratively; however, success depends on how appropriately humans rely on the AI agent. We demonstrated an evaluation method for a platform that used neural network agents of varying skill levels for the simple strategic game of Connect Four. We manipulated the presence, sequence, skill, and information display of Artificial Intelligence (AI) advice in a strategy game against another AI opponent that sometimes varied its skill to measure their effect on users' performance.Human agent teams outperformed unaided subjects with those receiving the AI recommendations simultaneously achieving the best results. Although team performance was higher and subjects improved during game play, there was little evidence of learning from their AI advisors. AI reliability proved to be the greatest determiner of team performance with subjects retaining trust in higher skilled advisors even in varied environments. Those with higher numeracy demonstrated the highest ability to make use of AI advice including more detailed output formats including ranking of choices and probabilities. More reliable AI agents correlated to higher AI trust while higher self-confidence correlated to greater rejection of AI advice, greater confidence in success, but slightly lower performance.The value of these human agent teams depended on AI reliability, users' ability to extract lessons from their advice, and users' trust in that advice. Organizations implementing human agent teams should conduct testing to know how well users appropriately rely on AI recommendations.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798383698587Subjects--Topical Terms:

561152
Engineering.
Subjects--Index Terms:

Appropriate relianceIndex Terms--Genre/Form:

554714
Electronic books.

Factors Affecting Appropriate Reliance on Artificial Intelligence Decision Support Systems.
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