QUT ePrints

The gameplay visualization manifesto: a framework for logging and visualization of online gameplay data

Joslin, Simon S., Brown, Ross A., & Drennan, Penny (2007) The gameplay visualization manifesto: a framework for logging and visualization of online gameplay data. ACM Computers in Entertainment, 5(3).

View at publisher

Abstract

As massively multiplayer online games gain popularity, there has been a concomitant increase in their size and complexity, both technically and in terms of player usage. Quality assurance for such games takes up a major component of the development budget due to the painstaking work required to ensure the best possible gameplay. This article presents a new framework for the process of visualizing online game-play data. Major components such as an event model and data acquisition infrastructure are derived. Interface and implementation factors are also explored, including in-situ game interface approaches. We also expect that this framework can be modified for all genres of gaming that require an understanding of complex game-play.

Impact and interest:

4 citations in Scopus
Search Google Scholar™

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 12713
Item Type: Journal Article
Additional Information: For more information, please refer to the journal’s website (see hypertext link) or contact the author.
Keywords: Games Usability, Gameplay Visualisation, MMORPG
DOI: 10.1145/1316511.1316517
ISSN: 1544-3574
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Information Systems not elsewhere classified (080699)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Decision Support and Group Support Systems (080605)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Virtual Reality and Related Simulation (080111)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Graphics (080103)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2007 ACM Press
Deposited On: 28 Feb 2008
Last Modified: 29 Feb 2012 23:35

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page