Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making

Author:

Ma Shuai1ORCID,Lei Ying2ORCID,Wang Xinru3ORCID,Zheng Chengbo4ORCID,Shi Chuhan5ORCID,Yin Ming3ORCID,Ma Xiaojuan6ORCID

Affiliation:

1. The Hong Kong University of Science and Technology, China

2. East China Normal University, China

3. Purdue University, United States

4. Hong Kong University of Science and Technology, Hong Kong

5. Hong Kong University of Science and Technology, China

6. The Hong Kong University of Science and Technology, Hong Kong

Funder

General Research Fund (GRF)

Publisher

ACM

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network Explainability;International Journal of Human–Computer Interaction;2024-08-08

2. Trust Development and Repair in AI-Assisted Decision-Making during Complementary Expertise;The 2024 ACM Conference on Fairness, Accountability, and Transparency;2024-06-03

3. Guided By AI: Navigating Trust, Bias, and Data Exploration in AI‐Guided Visual Analytics;Computer Graphics Forum;2024-06

4. Psychological Traits and Appropriate Reliance: Factors Shaping Trust in AI;International Journal of Human–Computer Interaction;2024-05-13

5. Advancing Knowledge Together: Integrating Large Language Model-based Conversational AI in Small Group Collaborative Learning;Extended Abstracts of the CHI Conference on Human Factors in Computing Systems;2024-05-11

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