Files and links (1)
PDFOpen Access (License Unspecified), Open Access
Thesis
How do we use interactive visualization to facilitate game designers to understand and design with machine learning
Master of Science (M.S.), Drexel University
Jun 2018
DOI:
https://doi.org/10.17918/D8GD4D
Abstract
Machine learning has recently reached a level of maturity sufficient for being useful to make game design. For example, work exists on automatic analysis of game designs, which could lead to significant reduction of design and production time. The recent successes of implementing machine learning have led to a wave of interest from game designers. Obtaining an understanding of machine learning, however, is difficult. We propose a web-based interactive visualization tool to offer a direct manipulation solution to facilitate game designers to understand and design with machine learning. Evaluation of our application through a panel of experts indicated that the interactive visualization is well-suited for helping designers gaining an intuition of the machine learning process. While a successful initial step towards assisting level design, further research is needed to make machine learning more understandable and useful to game designers.
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Details
- Title
- How do we use interactive visualization to facilitate game designers to understand and design with machine learning
- Creators
- Jiachi Xie - DU
- Contributors
- Jichen Zhu (Advisor) - Drexel University (1970-)
- Awarding Institution
- Drexel University
- Degree Awarded
- Master of Science (M.S.)
- Publisher
- Drexel University; Philadelphia, Pennsylvania
- Number of pages
- vi, 41 pages
- Resource Type
- Thesis
- Language
- English
- Academic Unit
- Digital Media; Drexel University; Antoinette Westphal College of Media Arts and Design
- Other Identifier
- 8108; 991014632692304721