Automatically Generating Summary Visualizations from Game Logs
Yun-Gyung Cheong, Arnav H. Jhala, Byung-Chull Bae, Robert Young · Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment · 2008
In this paper we describe a system called ViGLS (Visualization of Game Log Summaries) that generates summaries of gameplay sessions from game logs. ViGLS automatically produces visualization of the summarized actions that are extracted based on cognitive models of summarization. ViGLS is implemented using a service-oriented architecture, de-coupling the summarization methods from any particular game engine being used. The camera code libraries used in visualization are based on constraint based camera control approaches and, in our implementation, make use of the scripting layer of the Unreal game engine.