Towards Understanding of eSports Athletes' Potentialities: The Sensing System for Data Collection and Analysis
This addresses the problem of data scarcity for eSports researchers and teams, but it is incremental as it focuses on building a system rather than novel insights.
The authors tackled the lack of data collection platforms for eSports athletes by developing a sensing system and conducted a case study comparing gaze data between amateur and professional CS:GO players, with results aimed at scouting and assessment.
eSports is a developing multidisciplinary research area. At present, there is a lack of relevant data collected from real eSports athletes and lack of platforms which could be used for the data collection and further analysis. In this paper, we present a sensing system for enabling the data collection from professional athletes. Also, we report on the case study about collecting and analyzing the gaze data from Monolith professional eSports team specializing in Counter-Strike: Global Offensive (CS:GO) discipline. We perform a comparative study on assessing the gaze of amateur players and professional athletes. The results of our work are vital for ensuring eSports data collection and the following analysis in the scope of scouting or assessing the eSports players and athletes.