Type
Text
Type
Thesis
Advisor
Richard McKenna | Mueller, Klaus | Kevin T. McDonnell.
Date
2010-12-01
Keywords
Computer Science -- Information Technology | Gaming, Information Visualization, Interactive Visualization, Simulation, Video Game, Visual Analytics
Department
Department of Computer Science
Language
en_US
Source
This work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree.
Identifier
http://hdl.handle.net/11401/72572
Publisher
The Graduate School, Stony Brook University: Stony Brook, NY.
Format
application/pdf
Abstract
Game development is a rapidly evolving area of study that blends together a broad spectrum of technical and creative influences. Through their systematic use of rules, mechanics and multimedia assets, games can be thought of as an increasingly complex set of multivariate state data. Often, the interactions between these variable sets and their affect on game behavior are not readily apparent to the system architects at the time of development. These details can easily be overlooked until much later in the development cycle, when the refactoring of their implementations can result in significant overhead. To combat this problem project managers often employ iterative development, early prototyping, playability heuristics, and user studies. Here, an analytic approach is applied towards parameter tuning by visually modeling games as multi-dimensional datasets with respect to other salient game aspects, such as player preference. The motivation behind this research is to explore the use of interactive visual analytics as a tool that can assist game designers in modifying and discovering underlying relationships in their products. It is also hoped that through the use of interactive visualizations, the cost normally associated with quality assurance and play testing in games will be reduced.
Recommended Citation
Lacay, Markus Elliot, "Visual Game Tuning: Integrating Interactive Visualizations into Game Development" (2010). Stony Brook Theses and Dissertations Collection, 2006-2020 (closed to submissions). 1776.
https://commons.library.stonybrook.edu/stony-brook-theses-and-dissertations-collection/1776