Articles with public access mandates - Ming YinLearn more
Not available anywhere: 3
A computer vision approach for estimating lifting load contributors to injury risk
G Zhou, V Aggarwal, M Yin, D Yu
IEEE Transactions on Human-Machine Systems 52 (2), 207-219, 2022
Mandates: US National Institutes of Health
Designing for curiosity: an interdisciplinary workshop
E Law, PY Oudeyer, M Yin, M Schaekermann, AC Williams
Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors …, 2017
Mandates: Natural Sciences and Engineering Research Council of Canada
Video-based AI Decision Support System for Lifting Risk Assessment
G Zhou, V Aggarwal, M Yin, D Yu
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021
Mandates: US National Institutes of Health
Available somewhere: 21
Are explanations helpful? a comparative study of the effects of explanations in ai-assisted decision-making
X Wang, M Yin
Proceedings of the 26th International Conference on Intelligent User …, 2021
Mandates: US National Science Foundation
Curiosity killed the cat, but makes crowdwork better
E Law, M Yin, J Goh, K Chen, MA Terry, KZ Gajos
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems …, 2016
Mandates: Natural Sciences and Engineering Research Council of Canada
Human reliance on machine learning models when performance feedback is limited: Heuristics and risks
Z Lu, M Yin
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021
Mandates: US National Science Foundation
When confidence meets accuracy: Exploring the effects of multiple performance indicators on trust in machine learning models
A Rechkemmer, M Yin
Proceedings of the 2022 chi conference on human factors in computing systems …, 2022
Mandates: US National Science Foundation
Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making
S Ma, Y Lei, X Wang, C Zheng, C Shi, M Yin, X Ma
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
Mandates: Research Grants Council, Hong Kong
You’d better stop! Understanding human reliance on machine learning models under covariate shift
CW Chiang, M Yin
Proceedings of the 13th ACM Web Science Conference 2021, 120-129, 2021
Mandates: US National Science Foundation
Exploring the effects of machine learning literacy interventions on laypeople’s reliance on machine learning models
CW Chiang, M Yin
Proceedings of the 27th International Conference on Intelligent User …, 2022
Mandates: US National Science Foundation
Effects of explanations in ai-assisted decision making: Principles and comparisons
X Wang, M Yin
ACM Transactions on Interactive Intelligent Systems 12 (4), 1-36, 2022
Mandates: US National Science Foundation
Will you accept the ai recommendation? predicting human behavior in ai-assisted decision making
X Wang, Z Lu, M Yin
Proceedings of the ACM web conference 2022, 1697-1708, 2022
Mandates: US National Science Foundation
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
CW Chiang, Z Lu, Z Li, M Yin
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023
Mandates: US National Science Foundation
The effects of AI-based credibility indicators on the detection and spread of misinformation under social influence
Z Lu, P Li, W Wang, M Yin
Proceedings of the ACM on Human-Computer Interaction 6 (CSCW2), 1-27, 2022
Mandates: US National Science Foundation
Watch out for updates: Understanding the effects of model explanation updates in ai-assisted decision making
X Wang, M Yin
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023
Mandates: US National Science Foundation
The influences of task design on crowdsourced judgement: A case study of recidivism risk evaluation
X Duan, CJ Ho, M Yin
Proceedings of the ACM Web Conference 2022, 1685-1696, 2022
Mandates: US National Science Foundation, US Department of Defense
Understanding Decision Subjects' Fairness Perceptions and Retention in Repeated Interactions with AI-Based Decision Systems
MA Gemalmaz, M Yin
Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 295-306, 2022
Mandates: US National Science Foundation
How does Value Similarity affect Human Reliance in AI-Assisted Ethical Decision Making?
S Narayanan, G Yu, CJ Ho, M Yin
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 49-57, 2023
Mandates: US National Science Foundation, US Department of Defense
The Effects of AI Biases and Explanations on Human Decision Fairness: A Case Study of Bidding in Rental Housing Markets
X Wang, C Liang, M Yin
Proceedings of the 32nd International Joint Conference on Artificial …, 2023
Mandates: US National Science Foundation
Modeling Human Trust and Reliance in AI-Assisted Decision Making: A Markovian Approach
Z Li, Z Lu, M Yin
Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023
Mandates: US National Science Foundation
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