Modeling motivations and emotions as a basis for intelligent behavior
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Designing Autonomous Agents: Theory and Practice from Biology to Engineering and Back
Designing Autonomous Agents: Theory and Practice from Biology to Engineering and Back
A hierarchical architecture for behavior-based robots
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Applying Inexpensive AI Techniques to Computer Games
IEEE Intelligent Systems
Mobile phones for the next generation: device designs for teenagers
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
SenSay: A Context-Aware Mobile Phone
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
AniDiary: Daily Cartoon-Style Diary Exploits Bayesian Networks
IEEE Pervasive Computing
Managing Context Information in Mobile Devices
IEEE Pervasive Computing
Building a believable character for real-time virtual environments
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
| Hi-index | 12.05 |
As cell phones have become more common, personalized intelligent services in smartphones have become more highly desired. The mobile intelligent synthetic character is an example of one of these desired services. It is hard to apply an intelligent synthetic character to the smartphone environment because of its dynamism and complexity. This paper proposes a method for generating behaviors of a smart synthetic character that infers user contexts with Bayesian networks. In order to generate more realistic behaviors, the OCC model is utilized to create the character's emotion. Behaviors are produced through large-scale modular behavior networks with inferred contexts. A working progress is the mobile log collected with a Samsung SPH-M4650 smartphone that is used to verify the naturalness and flexibility of the generated behaviors.