Towards multi-modal stress response modelling in competitive league of legends

Paris Mavromoustakos Blom, Sander Bakkes, Pieter Spronck

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

With the constant rise in popularity of competitive video gaming (also known as Esports), Esports analytics has been a field of growing scientific interest in the recent years. Studies discussing player behaviour, skill learning and team performance have been conducted through Multiplayer Online Battle Arena games such as League of Legends. In this paper, we propose a multi-modal approach towards stress response modeling in competitive LoL games. We collect wearable physiological sensor data, mouse & keyboard logs and in-game data in order to study the relationship between player stress responses and in-game behaviour. We discuss the design criteria and propose future studies using the collected dataset.
Original languageEnglish
Title of host publication2019 IEEE Conference on Games (CoG)
PublisherIEEE
Pages1-4
Number of pages4
ISBN (Electronic)978-1-7281-1884-0
DOIs
Publication statusPublished - 2019

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