Identifying Avatar Aliases in Starcraft 2
This addresses the problem of avatar aliases in esports for analysts or opponents, but appears incremental as it applies an existing method to a new domain.
The authors tackled the problem of identifying when cyberathletes use different avatars to conceal their identity in Starcraft 2, by training a classifier on behavioral data and processing confusion matrices to output label pairs that concentrate confusion, reporting initial results.
In electronic sports, cyberathletes conceal their online training using different avatars (virtual identities), allowing them not being recognized by the opponents they may face in future competitions. In this article, we propose a method to tackle this avatar aliases identification problem. Our method trains a classifier on behavioural data and processes the confusion matrix to output label pairs which concentrate confusion. We experimented with Starcraft 2 and report our first results.