Visually Exploring Team Communication and Gameplay Events in League of Legends

David Glombik; Fabian Beck; Shivam Agarwal; Günter Wallner

doi:10.2312/eurova.20251103

Visually Exploring Team Communication and Gameplay Events in League of Legends

David Glombik
, Fabian Beck
, Shivam Agarwal
, Günter Wallner

Institute of Computer Graphics

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

Popular team-based esport games such as League of Legends rely on effective verbal team communication. Analyzing and reflecting on the own communication behavior is hence a relevant optimization strategy for a team, but needs to be sufficiently contextualized through game events. In this work, we present an analysis approach to investigate both communication and game events in an integrated visual analytics system. Aside to providing overview statistics, this novel blend builds on timeline and word cloud representations to show the rich data from League of Legends game sessions, visually comparing the opposing teams. We demonstrate the approach through analyzing relevant communication patterns in an application example.

Original language	English
Title of host publication	EuroVis Workshop on Visual Analytics (2025)
Editors	H.-J. Schulz, A. Vilanova
Publisher	The Eurographics Association
Edition	1
ISBN (Electronic)	9783038682837
DOIs	https://doi.org/10.2312/eurova.20251103
Publication status	Published - 02 Jun 2025

Fields of science

102013 Human-computer interaction

JKU Focus areas

Digital Transformation

Access to Document

10.2312/eurova.20251103

Cite this

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title = "Visually Exploring Team Communication and Gameplay Events in League of Legends",

abstract = "Popular team-based esport games such as League of Legends rely on effective verbal team communication. Analyzing and reflecting on the own communication behavior is hence a relevant optimization strategy for a team, but needs to be sufficiently contextualized through game events. In this work, we present an analysis approach to investigate both communication and game events in an integrated visual analytics system. Aside to providing overview statistics, this novel blend builds on timeline and word cloud representations to show the rich data from League of Legends game sessions, visually comparing the opposing teams. We demonstrate the approach through analyzing relevant communication patterns in an application example.",

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AU - Beck, Fabian

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Y1 - 2025/6/2

N2 - Popular team-based esport games such as League of Legends rely on effective verbal team communication. Analyzing and reflecting on the own communication behavior is hence a relevant optimization strategy for a team, but needs to be sufficiently contextualized through game events. In this work, we present an analysis approach to investigate both communication and game events in an integrated visual analytics system. Aside to providing overview statistics, this novel blend builds on timeline and word cloud representations to show the rich data from League of Legends game sessions, visually comparing the opposing teams. We demonstrate the approach through analyzing relevant communication patterns in an application example.

AB - Popular team-based esport games such as League of Legends rely on effective verbal team communication. Analyzing and reflecting on the own communication behavior is hence a relevant optimization strategy for a team, but needs to be sufficiently contextualized through game events. In this work, we present an analysis approach to investigate both communication and game events in an integrated visual analytics system. Aside to providing overview statistics, this novel blend builds on timeline and word cloud representations to show the rich data from League of Legends game sessions, visually comparing the opposing teams. We demonstrate the approach through analyzing relevant communication patterns in an application example.

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U2 - 10.2312/eurova.20251103

DO - 10.2312/eurova.20251103

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A2 - Schulz, H.-J.

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PB - The Eurographics Association

ER -

Visually Exploring Team Communication and Gameplay Events in League of Legends

Abstract

Fields of science

JKU Focus areas

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