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Chun-Wei Chiang
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2020 – today
- 2024
- [c11]Chun-Wei Chiang, Zhuoran Lu, Zhuoyan Li, Ming Yin:
Enhancing AI-Assisted Group Decision Making through LLM-Powered Devil's Advocate. IUI 2024: 103-119 - 2023
- [c10]Chun-Wei Chiang, Zhuoran Lu, Zhuoyan Li, Ming Yin:
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. CHI 2023: 348:1-348:18 - [c9]Zhuoran Lu, Zhuoyan Li, Chun-Wei Chiang, Ming Yin:
Strategic Adversarial Attacks in AI-assisted Decision Making to Reduce Human Trust and Reliance. IJCAI 2023: 3020-3028 - 2022
- [j3]Wei-Han Chen, Chun-Wei Chiang, Nicholas J. Fiolo, Philip X. Fuchs, Tzyy-Yuang Shiang:
Ideal Combinations of Acceleration-Based Intensity Metrics and Sensor Positions to Monitor Exercise Intensity under Different Types of Sports. Sensors 22(7): 2583 (2022) - [c8]Chun-Wei Chiang, Ming Yin:
Exploring the Effects of Machine Learning Literacy Interventions on Laypeople's Reliance on Machine Learning Models. IUI 2022: 148-161 - 2021
- [c7]Chun-Wei Chiang, Ming Yin:
You'd Better Stop! Understanding Human Reliance on Machine Learning Models under Covariate Shift. WebSci 2021: 120-129 - 2020
- [c6]Saiph Savage, Chun-Wei Chiang, Susumu Saito, Carlos Toxtli, Jeffrey P. Bigham:
Becoming the Super Turker: Increasing Wages via a Strategy from High Earning Workers. WWW 2020: 1241-1252 - [i6]Saiph Savage, Chun-Wei Chiang, Susumu Saito, Carlos Toxtli, Jeffrey P. Bigham:
Becoming the Super Turker: Increasing Wages via a Strategy from High Earning Workers. CoRR abs/2005.06021 (2020)
2010 – 2019
- 2019
- [j2]Susumu Saito, Chun-Wei Chiang, Saiph Savage, Teppei Nakano, Tetsunori Kobayashi, Jeffrey P. Bigham:
Predicting the Working Time of Microtasks Based on Workers' Perception of Prediction Errors. Hum. Comput. 6: 192-219 (2019) - [c5]Anna Kasunic, Chun-Wei Chiang, Geoff Kaufman, Saiph Savage:
Turker Tales: Integrating Tangential Play into Crowd Work. Conference on Designing Interactive Systems 2019: 21-34 - [c4]Susumu Saito, Chun-Wei Chiang, Saiph Savage, Teppei Nakano, Tetsunori Kobayashi, Jeffrey P. Bigham:
TurkScanner: Predicting the Hourly Wage of Microtasks. WWW 2019: 3187-3193 - [i5]Anna Kasunic, Chun-Wei Chiang, Geoff Kaufman, Saiph Savage:
Crowd Work on a CV? Understanding How AMT Fits into Turkers' Career Goals and Professional Profiles. CoRR abs/1902.05361 (2019) - [i4]Susumu Saito, Chun-Wei Chiang, Saiph Savage, Teppei Nakano, Tetsunori Kobayashi, Jeffrey P. Bigham:
TurkScanner: Predicting the Hourly Wage of Microtasks. CoRR abs/1903.07032 (2019) - 2018
- [j1]Chun-Wei Chiang, Anna Kasunic, Saiph Savage:
Crowd Coach: Peer Coaching for Crowd Workers' Skill Growth. Proc. ACM Hum. Comput. Interact. 2(CSCW): 37:1-37:17 (2018) - [c3]Chun-Wei Chiang, Eber Betanzos, Saiph Savage:
Exploring Blockchain for Trustful Collaborations between Immigrants and Governments. CHI Extended Abstracts 2018 - [i3]Chun-Wei Chiang, Caroline Anderson, Claudia Flores-Saviaga, Eduardo Jr Arenas, Felipe Colin, Mario Romero, Cuauhtémoc Rivera Loaiza, Norma Elva Chávez-Rodríguez, Saiph Savage:
Understanding Interface Design and Mobile Money Perceptions in Latin America. CoRR abs/1803.05032 (2018) - [i2]Chun-Wei Chiang, Eber Betanzos, Saiph Savage:
Blockchain for Trustful Collaborations between Immigrants and Governments. CoRR abs/1805.01512 (2018) - [i1]Chun-Wei Chiang, Anna Kasunic, Saiph Savage:
Crowd Coach: Peer Coaching for Crowd Workers' Skill Growth. CoRR abs/1811.05364 (2018) - 2017
- [c2]Chun-Wei Chiang, Caroline Anderson, Claudia Flores-Saviaga, Eduardo Jr Arenas, Felipe Colin, Mario Romero, Cuauhtémoc Rivera Loaiza, Norma Elva Chávez-Rodríguez, Saiph Savage:
Understanding Interface Design and Mobile Money Perceptions in Latin America. CLIHC 2017: 5:1-5:8
2000 – 2009
- 2006
- [c1]Kuei-Ping Shih, Yen-Da Chen, Chun-Wei Chiang, Bo-Jun Liu:
A Distributed Active Sensor Selection Scheme for Wireless Sensor Networks. ISCC 2006: 923-928
Coauthor Index
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