Talks and Poster Presentations (with Proceedings-Entry):
G. Wallner, S. Kriglstein:
"PLATO: Understanding Gameplay Data Through Visualization";
Talk: CHI Games User Research Workshop,
2013-04-27; in: "CHI Games User Research Workshop",
With the increasing popularity of instrumentation to automatically collect gameplay data the need for adequate analysis tools to fully capitalize on the data has arisen.
This includes techniques to visually explore the usually large multivariate data sets. In this paper we describe ongoing work on our spatiotemporal visual analytics system - called PLATO - which currently focuses on providing different representations and methods in order to support analytical reasoning.
Game Metrics, Gameplay Visualization, Visual Analytics
Created from the Publication Database of the Vienna University of Technology.