Sledovat
Ming Yin
Název
Citace
Citace
Rok
Understanding the effect of accuracy on trust in machine learning models
M Yin, J Wortman Vaughan, H Wallach
Proceedings of the 2019 chi conference on human factors in computing systems …, 2019
4632019
Are explanations helpful? a comparative study of the effects of explanations in ai-assisted decision-making
X Wang, M Yin
26th international conference on intelligent user interfaces, 318-328, 2021
2132021
The communication network within the crowd
M Yin, ML Gray, S Suri, JW Vaughan
Proceedings of the 25th International Conference on World Wide Web, 1293-1303, 2016
1382016
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
1162016
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
862021
The effects of performance-contingent financial incentives in online labor markets
M Yin, Y Chen, YA Sun
Proceedings of the AAAI Conference on Artificial Intelligence 27 (1), 1191-1197, 2013
752013
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
592022
Task complexity moderates group synergy
A Almaatouq, M Alsobay, M Yin, DJ Watts
Proceedings of the National Academy of Sciences 118 (36), e2101062118, 2021
542021
Bonus or not? learn to reward in crowdsourcing.
M Yin, Y Chen
IJCAI, 201-208, 2015
542015
Running out of time: The impact and value of flexibility in on-demand crowdwork
M Yin, S Suri, ML Gray
Proceedings of the 2018 CHI conference on human factors in computing systems …, 2018
422018
Monetary interventions in crowdsourcing task switching
M Yin, Y Chen, YA Sun
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 2 …, 2014
422014
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
382021
Understanding the skill provision in gig economy from a network perspective: A case study of fiverr
K Huang, J Yao, M Yin
Proceedings of the ACM on Human-Computer Interaction 3 (CSCW), 1-23, 2019
362019
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
342023
Exploring the effects of machine learning literacy interventions on laypeople’s reliance on machine learning models
CW Chiang, M Yin
27th International Conference on Intelligent User Interfaces, 148-161, 2022
252022
Leveraging peer communication to enhance crowdsourcing
W Tang, M Yin, CJ Ho
The World Wide Web Conference, 1794-1805, 2019
252019
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
242022
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
232022
A holistic framework for analyzing the COVID-19 vaccine debate
ML Pacheco, T Islam, M Mahajan, A Shor, M Yin, L Ungar, D Goldwasser
arXiv preprint arXiv:2205.01817, 2022
202022
Synthetic data generation with large language models for text classification: Potential and limitations
Z Li, H Zhu, Z Lu, M Yin
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
192023
Systém momentálně nemůže danou operaci provést. Zkuste to znovu později.
Články 1–20