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The aim of this study was designing an (AI) model for smartphone to detect
the user's mood state and generate adaptive behaviors via an animated artificial
companion with internal mood state. The internal mood state of the agent could
also come from another smartphone user. The AI model was developed based
by fusion of a novel DBNs and Behavior network model. The system was tested
by users, and the fitness of the generated behaviors were confirmed.
Acknowledgement. This research is supported by the Singapore National Re-
search Foundation under its International Research Center Keio-NUS CUTE
Center @ Singapore Funding Initiative and administered by the IDM Program
Oce.
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