Chun-Wei Chiang

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 19

Top Topics

Learning Models

Decision Making

Covariate Shift

Top Venues

Publications

Chun-Wei Chiang, Zhuoran Lu, Zhuoyan Li, Ming Yin
Enhancing AI-Assisted Group Decision Making through LLM-Powered Devil's Advocate. IUI (2024)
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)
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)
Chun-Wei Chiang, Ming Yin
Exploring the Effects of Machine Learning Literacy Interventions on Laypeople's Reliance on Machine Learning Models. IUI (2022)
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) (2022)
Chun-Wei Chiang, Ming Yin
You'd Better Stop! Understanding Human Reliance on Machine Learning Models under Covariate Shift. WebSci (2021)
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 (2020)
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)
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 (2019)
Susumu Saito, Chun-Wei Chiang, Saiph Savage, Teppei Nakano, Tetsunori Kobayashi, Jeffrey P. Bigham
TurkScanner: Predicting the Hourly Wage of Microtasks. WWW (2019)
Susumu Saito, Chun-Wei Chiang, Saiph Savage, Teppei Nakano, Tetsunori Kobayashi, Jeffrey P. Bigham
TurkScanner: Predicting the Hourly Wage of Microtasks. CoRR (2019)
Anna Kasunic, Chun-Wei Chiang, Geoff Kaufman, Saiph Savage
Turker Tales: Integrating Tangential Play into Crowd Work. Conference on Designing Interactive Systems (2019)
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 (2019)
Chun-Wei Chiang, Eber Betanzos, Saiph Savage
Blockchain for Trustful Collaborations between Immigrants and Governments. CoRR (2018)
Chun-Wei Chiang, Anna Kasunic, Saiph Savage
Crowd Coach: Peer Coaching for Crowd Workers' Skill Growth. CoRR (2018)
Chun-Wei Chiang, Eber Betanzos, Saiph Savage
Exploring Blockchain for Trustful Collaborations between Immigrants and Governments. CHI Extended Abstracts (2018)
Chun-Wei Chiang, Anna Kasunic, Saiph Savage
Crowd Coach: Peer Coaching for Crowd Workers' Skill Growth. Proc. ACM Hum. Comput. Interact. 2 (CSCW) (2018)
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 (2018)
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)
Kuei-Ping Shih, Yen-Da Chen, Chun-Wei Chiang, Bo-Jun Liu
A Distributed Active Sensor Selection Scheme for Wireless Sensor Networks. ISCC (2006)