Automatically Generating Summary Visualizations from Game Logs
- Cheong Yun-Gyung,
- Arnav Jhala,
- Byung-Chull Bae,
- R. Michael Young
- Samsung,
- North Carolina State University
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewPublication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPublication milestones
- Published - 2008
Publication status
Published - 2008
Publisher
AAAI Press, United StatesISBN (Print)
978-1-57735-391-1ISBN (Electronic)
978-1-57735-392-8Publication IDs
- Scopus: 84858960339
Host publication title
Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment International Conference (AIIDE 2008)Host publication editors
- Michael Mateas
- Chris Darken
Abstract
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.
Publication metrics
PlumX
Citations
29
Related Event
Title
4th Conference on Artificial Intelligence and Interactive Digital Entertainment
Event type
ConferenceDate
22/10/2008 - 24/10/2008Location
StanfordUnited States
