Abstract
Since smart phones have become popular, intelligent adaptive services were more highly demanded. The intelligent synthetic character on a mobile phone is one of the promising services. It is difficult to develop an intelligent synthetic character on the mobile environment due to its dynamism and complexity. This paper proposes a method to generate a synthetic character's behaviors using contexts inferred with Bayesian networks. To make more realistic character, the OCC model creates the character's emotion. Large-scale modular behavior networks generate the character's behaviors with inferred contexts. In order to verify the naturalness and flexibility of the generated behaviors, a simulation is conducted with the mobile log collected with a Samsung SPH-M4650 smart phone.
Original language | English |
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Pages | 94-97 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2012 |
Event | 32nd IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2012 - Macau, China Duration: 2012 Jun 18 → 2012 Jun 21 |
Other
Other | 32nd IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2012 |
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Country/Territory | China |
City | Macau |
Period | 12/6/18 → 12/6/21 |
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Control and Systems Engineering