Voice Communication Analysis in Esports

TL;DR

This paper explores how NLP tools, especially Large Language Models, can analyze and improve voice communication effectiveness in team-based esports, with a focus on League of Legends.

Contribution

It introduces a novel application of NLP and LLMs to analyze voice communication in esports, aiming to enhance team performance and synergy.

Findings

NLP tools can identify communication patterns affecting team success

Application of LLMs reveals insights into voice communication dynamics

Potential improvements in team communication strategies

Abstract

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.