Yin, Ming
Purdue University West Lafayette
12 papers on CoChatORCID 0000-0002-7364-139X
Most cited papers
- Verified
Understanding the Effect of Accuracy on Trust in Machine Learning Models
Yin, M., Wortman Vaughan, J., & Wallach, H. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety
Cited by 527
- Verified
Are Explanations Helpful? A Comparative Study of the Effects of Explanations in AI-Assisted Decision-Making
Wang, X., & Yin, M. (2021) · 26th International Conference on Intelligent User Interfaces
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 320
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Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making
Ma, S., Lei, Y., Wang, X., Zheng, C., Shi, C., Yin, M., & Ma, X. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Human-Automation Interaction and SafetyExplainable Artificial Intelligence (XAI)
Cited by 143
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Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations
Li, Z., Zhu, H., Lu, Z., & Yin, M. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Topic ModelingComputational and Text Analysis Methods
Cited by 139
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Human Reliance on Machine Learning Models When Performance Feedback is Limited: Heuristics and Risks
Lu, Z., & Yin, M. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Human-Automation Interaction and SafetyExplainable Artificial Intelligence (XAI)
Cited by 131
- Verified · note
When Confidence Meets Accuracy: Exploring the Effects of Multiple Performance Indicators on Trust in Machine Learning Models
Rechkemmer, A., & Yin, M. (2022) · CHI Conference on Human Factors in Computing Systems
Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety
Cited by 97
- Verified
The Value, Benefits, and Concerns of Generative AI-Powered Assistance in Writing
Li, Z., Liang, C., Peng, J., & Yin, M. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems
Ethics and Social Impacts of AIArtificial Intelligence in Education
Cited by 81
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"Are You Really Sure?" Understanding the Effects of Human Self-Confidence Calibration in AI-Assisted Decision Making
Ma, S., Wang, X., Lei, Y., Shi, C., Yin, M., & Ma, X. (2024) · arXiv
Human-Automation Interaction and SafetyUsability and User Interface Design
Cited by 56
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You’d Better Stop! Understanding Human Reliance on Machine Learning Models under Covariate Shift
Chiang, C.-W., & Yin, M. (2021) · 13th ACM Web Science Conference 2021
Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety
Cited by 53
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Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making
Ma, S., Chen, Q., Wang, X., Zheng, C., Peng, Z., Yin, M., & Ma, X. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 48
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Exploring the Effects of Machine Learning Literacy Interventions on Laypeople’s Reliance on Machine Learning Models
Chiang, C.-W., & Yin, M. (2022) · 27th International Conference on Intelligent User Interfaces
Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety
Cited by 42
- Verified
Understanding Decision Subjects' Fairness Perceptions and Retention in Repeated Interactions with AI-Based Decision Systems
Gemalmaz, M. A., & Yin, M. (2022) · Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 10
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