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<div class="csl-entry">Hoelbling, D., Salmhofer, A., Gencoglu, C., Baranyi, R., Pinter, K., Özbay, S., Ulupinar, S., Ozkara, A. B., & Grechenig, T. (2023). JudgED: comparison between kickboxing referee performance at a novel serious game for judging improvement and at world championships. <i>Applied Sciences</i>, <i>13</i>(17), Article 9549. https://doi.org/10.3390/app13179549</div>
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dc.identifier.issn
2076-3417
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/190684
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dc.description
This article belongs to the Special Issue Analytics in Sports Sciences: State of the Art and Future Directions
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dc.description.abstract
The particular responsibility of referees in combat sports lies in their decision-making to enforce the rules of the sport, which requires considerable experience and a multitude of skills, including perception, categorization, memory processing, and information integration. As a cost-effective alternative to in-tournament training, this research aims to evaluate the novel video-based serious game called “JudgED” to train martial arts referees’ decision-making processes through immediate feedback. The effectiveness of the JudgED game was assessed by (a) measuring decision accuracy and specific reaction time, (b) calculating a theoretical probability of correct scoring, and (c) comparing these results with real competition judging agreement data. A field study was conducted to analyze the performance of 16 kickboxing referees. The study involved two video-based tests in the serious game. The performance data for JudgED were obtained via a procedure that compares the players’ inputs in the serious game with expert-defined decisions. The results were compared to real-competition data gathered through qualitative analysis of kickboxing fights (n = 400 fights/1200 bouts) at the WAKO World Championships 2021. The findings showed an average decision accuracy of 43.011% and an average reaction time of 1.022 s. For further comparison, binominal distribution for the probability of correct final decisions (between 15.3% and 67.2%) in JudgED and Fleiss’ Kappa interrater reliability for JudgED (Ring: (Formula presented.) = 0.371; Tatami: (Formula presented.) = 0.398; p < 0.001) and tournament decisions (by bout: (Formula presented.) = 0.114; by fight (Formula presented.) = 0.063; by outcome (Formula presented.) = 0.166; p < 0.001) were calculated. The results suggest that more training is required to improve referee decision accuracy, and JudgED bears the potential to work as a suitable supporting system.
en
dc.language.iso
en
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dc.publisher
MDPI
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dc.relation.ispartof
Applied Sciences
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
decision-making training
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dc.subject
digital-game-based learning
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dc.subject
judges
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dc.subject
kickboxing
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dc.subject
martial arts
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dc.subject
match analysis
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dc.subject
referees
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dc.subject
serious game
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dc.title
JudgED: comparison between kickboxing referee performance at a novel serious game for judging improvement and at world championships