The creation of interactive computer-controlled characters in interactive media is a challenging and multi-faceted task requiring the skills and effort of professionals from many fields. This work addresses authoring the interactive aspect of these characters’ behaviors – how characters act automatically in response to a dynamic user-controlled character. We present PaintBoard, a system that enables users to prototype and test discrete, real-time, interactive movements in a 2D grid environment simply by digitally painting a storyboard. We designed and developed a novel authoring technique for creating behaviors (painting storyboards) and a novel algorithm based on machine-learning, that analyzes a storyboard to create a behavior that works beyond situations provided in the input storyboard. We conducted two exploratory studies that grounded the prototype design, and present the results of a proof-of-concept workshop with game developers. Finally, we performed a comparison of machine learning algorithms’ performance on our storyboard data.
| Identifer | oai:union.ndltd.org:MANITOBA/oai:mspace.lib.umanitoba.ca:1993/30249 |
| Date | 03 February 2015 |
| Creators | Rea, Daniel J. |
| Contributors | Young, James E. (Computer Science), Bunt, Andrea (Computer Science) Corne, Jonah (English, Film, and Theatre) |
| Source Sets | University of Manitoba Canada |
| Detected Language | English |
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