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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-review

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Original language

English

Publication milestones

  • Published - 2008

Publication status

Published - 2008

Publisher

AAAI Press, United States
978-1-57735-391-1

ISBN (Electronic)

978-1-57735-392-8

Publication 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

Conference

Date

22/10/2008 - 24/10/2008

Location

StanfordUnited States