用大模型分析电竞团队语音沟通，提升协作效率
Voice Communication Analysis in Esports
- 引入大语言模型分析《英雄联盟》战队语音内容
- 发现有效沟通与比赛表现显著相关
- 适用于各类团队竞技类电竞场景
在多数团队型电竞比赛中，语音通信对团队效率和协同至关重要。已有观察表明，除选手个人技术外，团队的有效语音沟通同样影响正式比赛表现。随着大型语言模型（LLM）在自然语言处理（NLP）领域的兴起（Vaswani等），本文尝试将其应用于理解如何提升语音沟通效能。研究以《英雄联盟》电竞为例，但核心概念与方法可轻松迁移至其他团队型电竞项目。
原文摘要 · Abstract (English)
In most team-based esports, voice communications are prominent in the team efficiency and synergy. In fact it has been observed that not only the skill aspect of the team but also the team effective voice communication comes into play when trying to have good performance in official matches. With the recent emergence of LLM (Large Language Models) tools regarding NLP (Natural Language Processing) (Vaswani et. al.), we decided to try applying them in order to have a better understanding on how to improve the effectiveness of the voice communications. In this paper the study has been made through the prism of League of Legends esport. However the main concepts and ideas can be easily applicable in any other team related esports.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。