Ming Yin

Orcid: 0000-0002-7364-139X

Affiliations:
  • Purdue University, West Lafayette, IN, USA


According to our database1, Ming Yin authored at least 41 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making.
CoRR, 2024

The Value, Benefits, and Concerns of Generative AI-Powered Assistance in Writing.
CoRR, 2024

"Are You Really Sure?" Understanding the Effects of Human Self-Confidence Calibration in AI-Assisted Decision Making.
CoRR, 2024

Beyond Recommender: An Exploratory Study of the Effects of Different AI Roles in AI-Assisted Decision Making.
CoRR, 2024

Does More Advice Help? The Effects of Second Opinions in AI-Assisted Decision Making.
CoRR, 2024

Enhancing AI-Assisted Group Decision Making through LLM-Powered Devil's Advocate.
Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

Decoding AI's Nudge: A Unified Framework to Predict Human Behavior in AI-Assisted Decision Making.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
The Effects of AI Biases and Explanations on Human Decision Fairness: A Case Study of Bidding in Rental Housing Markets.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Strategic Adversarial Attacks in AI-assisted Decision Making to Reduce Human Trust and Reliance.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Watch Out for Updates: Understanding the Effects of Model Explanation Updates in AI-Assisted Decision Making.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Are Two Heads Better Than One in AI-Assisted Decision Making? Comparing the Behavior and Performance of Groups and Individuals in Human-AI Collaborative Recidivism Risk Assessment.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

How does Value Similarity affect Human Reliance in AI-Assisted Ethical Decision Making?
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

Modeling Human Trust and Reliance in AI-Assisted Decision Making: A Markovian Approach.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Effects of Explanations in AI-Assisted Decision Making: Principles and Comparisons.
ACM Trans. Interact. Intell. Syst., December, 2022

A Computer Vision Approach for Estimating Lifting Load Contributors to Injury Risk.
IEEE Trans. Hum. Mach. Syst., 2022

Understanding the Microtask Crowdsourcing Experience for Workers with Disabilities: A Comparative View.
Proc. ACM Hum. Comput. Interact., 2022

The Effects of AI-based Credibility Indicators on the Detection and Spread of Misinformation under Social Influence.
Proc. ACM Hum. Comput. Interact., 2022

Will You Accept the AI Recommendation? Predicting Human Behavior in AI-Assisted Decision Making.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

The Influences of Task Design on Crowdsourced Judgement: A Case Study of Recidivism Risk Evaluation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Exploring the Effects of Machine Learning Literacy Interventions on Laypeople's Reliance on Machine Learning Models.
Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022

When Confidence Meets Accuracy: Exploring the Effects of Multiple Performance Indicators on Trust in Machine Learning Models.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

How Does Predictive Information Affect Human Ethical Preferences?
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

Towards Better Detection of Biased Language with Scarce, Noisy, and Biased Annotations.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

Understanding Decision Subjects' Fairness Perceptions and Retention in Repeated Interactions with AI-Based Decision Systems.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021
You'd Better Stop! Understanding Human Reliance on Machine Learning Models under Covariate Shift.
Proceedings of the WebSci '21: 13th ACM Web Science Conference 2021, 2021

Video-based AI Decision Support System for Lifting Risk Assessment.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Are Explanations Helpful? A Comparative Study of the Effects of Explanations in AI-Assisted Decision-Making.
Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

Exploring the Effects of Goal Setting When Training for Complex Crowdsourcing Tasks (Extended Abstract).
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Accounting for Confirmation Bias in Crowdsourced Label Aggregation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Human Reliance on Machine Learning Models When Performance Feedback is Limited: Heuristics and Risks.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
Crowdsourcing Detection of Sampling Biases in Image Datasets.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Motivating Novice Crowd Workers through Goal Setting: An Investigation into the Effects on Complex Crowdsourcing Task Training.
Proceedings of the Eighth AAAI Conference on Human Computation and Crowdsourcing, 2020

Does Exposure to Diverse Perspectives Mitigate Biases in Crowdwork? An Explorative Study.
Proceedings of the Eighth AAAI Conference on Human Computation and Crowdsourcing, 2020

2019
Understanding the Skill Provision in Gig Economy from A Network Perspective: A Case Study of Fiverr.
Proc. ACM Hum. Comput. Interact., 2019

Leveraging Peer Communication to Enhance Crowdsourcing.
Proceedings of the World Wide Web Conference, 2019

Understanding the Effect of Accuracy on Trust in Machine Learning Models.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018
Working in Pairs: Understanding the Effects of Worker Interactions in Crowdwork.
CoRR, 2018

Running Out of Time: The Impact and Value of Flexibility in On-Demand Crowdwork.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2016
The Communication Network Within the Crowd.
Proceedings of the 25th International Conference on World Wide Web, 2016


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