Welfare-oriented Interactive Interface based on the Model of Knowledge, Emotion and Intention

近年来，信息基础设施正在渗透到每个家庭，并且期望我们有效地利用该基础设施来实现智能接口。在这项研究中，我们的目标是实现两个重要的功能，在智能接口。1.不使用键盘、鼠标等，通过身体表情或语言理解用户意图的功能。2.系统侧理解用户情绪（愤怒、痛苦等）的功能。直到去年，我们的研究分为以下（1）和（2）项，并分别进行了研究。（1）从肢体表情或语言中识别、获取和修改命令符号的研究。我们还进行了从简单的身体表情或语言中获取和修改命令符号以执行两个或多个命令的研究。（2）研究了从肢体表情和语言中检测用户的情感和意图，并研究了引导和支持方法，提出了知识、情感和意图的工程模型，以检测用户的情感和意图。此外，还进行了信息系统的指导方法和福利系统的支援方法的研究，今年将上述（1）和（2）进行了整合，构建了实验系统。该系统能够从用户的身体表情中识别出有意义的符号。该系统还能够识别用户的情感和意图，并利用知识、情感和意图的工程模型对用户进行有效的支持。我们能够显示出实现比传统的福利支持系统更积极的支持的可能性。

In recent years, an information infrastructure is permeating each home, and it is desirable that we realize the intelligent interface utilizing the infrastructure effectively. In this research, we aim to realize two important functions in an intelligent interface. 1. Function that the system understands user's intentions with body expression or language, without using a keyboard, a mouse, and so on. 2.Function that system side understands user's emotion (anger, suffering, etc.) and carries out the user support by using the model of knowledge, emotion and intention.Until last year, we divided our research into the following items (1) and (2), and researched them individually.(1)Research about recognition, acquisition and modification of command signs from body expression or language.We carried out research for extracting meaningful signs from user's situations. We also carried outresearch for acquisition and modification of command signs in order to execute two or more commands from simple body expression or language.(2)Research about detection of emotion and intention from body expression and language, and research about method of guidance and support.We advanced research of the engineering model of knowledge, emotion and intention, in order to detect user's emotion and intention. Furthermore, we carried out research of a guidance method on information systems and a support method on welfare systems.This year, we integrated the above-mentioned (1) and (2), and built an experimental system. The system was able to recognize the meaningful signs from user's body expression. The system was also able to recognize user s emotion and intention, and enabled the user to be given the effective support for him by using the engineering model of knowledge, emotion and intention. We were able to show the possibility of realizing more positive support than conventional welfare support system.