Segmented episode control system for interactive narrative entertainment

We propose the massive action control system (MACS) for interactive narrative entertainment. MACS determines the action priorities for characters based in part on their own internal states, such as the motivation behind the action, feeling, and personality. MACS selects a behavior control module, called an episode tree, of about 1000 events, which is divided into action types based on these internal states and external situations. We demonstrate the effectiveness of the system with the Spilant World interactive animation contents at the National Museum of Emerging Science and Innovation in Japan, NAMCO amusement park, and SIGGRAPH ASIA 2008.

Research highlights
► We propose Massive Action Control System (MACS).
► MACS’ features: Structuring Actions, Prioritizing Actions, Interpolating Actions.
► MACS controls about 1000 events of various actions and makes the characters lifelike.
► In addition, we implement an episode tree editing GUI for users.