入侵类电子竞技项目的表现诊断：电子竞技表现筛查（EPS）框架
Diagnosing Performance in Invasion-Based Esports: The Esports Performance Screening (EPS) Framework
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中文总结 AI 辅助
本文针对现有电子竞技表现分析工具无法区分心理与运动失误的问题，提出EPS框架，将表现分为五个层级，支持诊断与实时筛查模式，助力入侵类电子竞技的表现分析与教学开发。
中文摘要 AI 辅助
电子竞技中的教练指导日益普遍，但用于教练分析电子竞技表现故障的概念工具仍然有限。现有方法无法区分心理错误（即与战略和战术相关的失误）和身体失误（即运动执行层面的失误）。本文提出了电子竞技表现筛查（Esports Performance Screening，EPS）框架，该框架整合了体育科学与计算机科学中的多个框架和模型，可用于分析电子竞技中的心理表现和运动表现。EPS框架将表现划分为五个相互关联的层级：战略、战术、任务、动作和操作。在这些层级中，战队追求的优势形式会影响入侵类电子竞技比赛中稳定与不稳定状态之间的转换。该框架支持两种互补的筛查使用模式：用于反思性复盘的诊断模式，以及用于直播赛事中的实时筛查模式。通过示例电子竞技场景，我们展示了不稳定性如何源于不同的层级，以及对失败的错误归因如何掩盖根本原因。EPS框架的目的是帮助教练系统地诊断表现故障，并作为启发式方法辅助比赛中的游戏分析。本文贡献了一个基于理论、与具体项目无关的电子竞技框架，以支持入侵类电子竞技中的系统表现分析和教学开发。
英文摘要
Coaching in esports continues to become more common, yet conceptual tools for coaches to analyse performance breakdowns in esports remain limited. Existing approaches lack a way to distinguish between mental errors (i.e., mistakes relate to strategy and tactics), and physical slips (i.e., motor execution). This paper introduces the Esports Performance Screening (EPS) framework, that integrates several frameworks and models from sport and computing science which can be used to analyse mental and motor performance in esports. The EPS framework organises performance into five interconnected levels: strategy, tactics, tasks, actions and operations. Across these levels, teams pursue forms of superiority that influence transitions between stability and instability during invasion-based esports competition. The framework supports two complementary modes of screening use: diagnostic during reflective review and real-time screening during live play. Through illustrative esports scenarios, we demonstrate how instability can originate at different hierarchical layers and how misattribution of failure can obscure underlying causes. The purpose of the EPS framework is to help coaches systematically diagnose performance breakdowns, and act as heuristics to aid gameplay analysis during a match. The paper contributes a theoretically grounded, title-agnostic esports framework to support systematic performance analysis and pedagogical development in invasion-based esports.
