Collaborator(s): Prof. Wen-Wei Hsieh, Prof. Ying-Chen Chen
This research focuses on performance analysis and intelligent management for basketball officiating systems, integrating data analytics with practical system design. Using machine learning to analyze referee data from Taiwan’s Super Basketball League, we found that teamwork has a greater impact on overall officiating performance than individual ability. Building on these findings, we developed RefBot, a chatbot system that automates referee management workflows and improves the efficiency of game assignments and league administration.
| [C04] | W.Y. Kuo, Y.C. Lin, S.W. Wang, W.W. Hsieh, and Y.C. Chen, "RefBot: A Chatbot System for Basketball Referees," in IEEE International Conference On Consumer Electronics - Taiwan (IEEE ICCE-TW 2024), Taichung, Taiwan, July 9-11, 2024. | ||||||
| [C03] | S.W. Wang and W.W. Hsieh, "An Approach to Analyze the Relationships between Basketball Referees and Team Performance," in 22nd European College of Sport Science Congress, MetropolisRuhr, Germany, July 5-8, 2017. | ||||||
| [C02] | S.W. Wang and W.W. Hsieh, "Performance Analysis of Basketball Referees by Machine Learning Techniques," in The 4th International Congress on Sport Sciences Research and Technology Support (icSports2016), Porto, Portugal, November 7-9, , vol. 2, 2016. | ||||||
| [C01] | S.W. Wang, "Maximizing the number of qualified work teams based on social network relationships," in 2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN2016), Vienna, Austria, July 5-8, 2016. |