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Analyzing and Interpreting a Referee's Actions Using Gaze Data

机译:使用注视数据分析和解释裁判员的行为

摘要

Systems, methods, and computer-readable media are disclosed for capturing gaze data for a referee over the course of a sports match, identifying a key performance indicator (KPI) corresponding to a sports domain with which the sports match is associated, and generating KPI data corresponding to the KPI. The KPI data may be analyzed to assess a likelihood that an officiating decision made by the referee during the sports match is accurate as well as to assess the likelihood that referee bias contributed to the officiating decision. KPI data for a referee may also be aggregated across multiple sports domain KPIs and multiple sports matches and categorized into different decision categories. A bias/confidence pattern may then be determined for the referee based at least in part on the categorization, and a profile may be determined for the referee based at least in part on the bias/confidence pattern.
机译:公开了用于在运动比赛的过程中捕获裁判的注视数据,识别与运动比赛相关联的运动领域相对应的关键绩效指标(KPI)并生成KPI的系统,方法和计算机可读介质。与KPI对应的数据。可以分析KPI数据以评估在体育比赛期间裁判员做出的裁判决定准确的可能性,以及评估裁判员偏见有助于裁判决定的可能性。裁判的KPI数据也可以跨多个体育领域KPI和多个体育比赛进行汇总,并分为不同的决策类别。然后可以至少部分地基于分类为裁判确定偏见/信心模式,并且可以至少部分地基于偏见/信心模式为裁判确定概况。

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