COMPUTERISED GYMNASTICS JUDGING SCORING SYSTEM IMPLEMENTATION – AN EXPLORATION OF STAKEHOLDERS’ PERCEPTIONS

IF 0.7 Q4 SPORT SCIENCES
Elizabeth Allen, A. Fenton, K. Parry
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引用次数: 4

Abstract

Gymnastics is one of the original Olympic sports, subjectively judged by humans. Judging errors and bias can occur, resulting in medals being incorrectly awarded. The International Gymnastics Federation (FIG) with Fujitsu are introducing a computerised gymnastics judging support system (CGJSS), a technology aimed to enhance fairness and accuracy but there is very little literature evaluating this technology and perceptions. This project aimed to explore stakeholders’ reactions at this critical time. Therefore, interviews were conducted with coaches, judges, media, former and current international gymnasts. The findings concurred with the literature review of judging problems with the current system, including bias and subjectivity. New findings show, among other things, that gymnasts’ scores can differ depending on which round they compete in. The findings also suggest that the CGJSS would be a great innovation for gymnastics to improve credibility by removing bias and helping to make the sport more objective. However, the majority of the participants believed it could not judge the artistry element of the sport. Close monitoring of the effectiveness of the CGJSS is therefore required to identify enhancement and to ensure the investment produces fairer, more reliable and credible results. Successful implementation of the CGJSS could also allow it to be introduced into other subjectively judged sports.
体操计算机评判评分系统的实施&利益相关者认知的探索
体操是奥林匹克最初的运动项目之一,由人类主观评判。可能会出现判断错误和偏见,导致奖牌被错误授予。国际体操联合会(FIG)和富士通正在引入一种计算机体操裁判支持系统(CGJSS),这是一种旨在提高公平性和准确性的技术,但很少有文献评估这项技术和看法。该项目旨在探讨利益相关者在这一关键时刻的反应。因此,对教练、裁判、媒体、前任和现任国际体操运动员进行了采访。研究结果与文献综述一致,文献综述了现行制度下的判断问题,包括偏见和主观性。新的研究结果表明,体操运动员的成绩可能因参加哪一轮比赛而有所不同。研究结果还表明,CGJSS将是体操的一项伟大创新,可以通过消除偏见和帮助使这项运动更加客观来提高可信度。然而,大多数参与者认为它无法判断这项运动的艺术元素。因此,需要密切监测CGJSS的有效性,以确定改进措施,并确保投资产生更公平、更可靠和可信的结果。CGJSS的成功实施也可以将其引入其他主观判断的体育项目。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.30
自引率
33.30%
发文量
48
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