Customized Message Generation and Speech Synthesis in Response to Characteristic Behavioral Patterns of Children.

There is a growing need for a user-friendly human-computer interaction system that can respond to various characteristics of a user in terms of behavioral patterns, mental state, and personalities. In this paper, we present a system that generates appropriate natural language spoken messages with customization for user characteristics, taking into account the fact that human behavioral patterns usually reveal one's mental state or personality subconsciously. The system is targeted at handling various situations for five-year old kindergarteners by giving them caring words during their everyday lives. With the analysis of each case study, we provide a setting for a computational method to identify user behaviroal patterns. We believe that the proposed link between the behavioral patterns and the mental state of a human user can be applied to improve not only user interactivity but also believability of the system. [ABSTRACT FROM AUTHOR]