Fundamental Research of Intelligent Mentoring Function for Intelligent Tutoring System based on Low Level Interaction

在本研究中，我们为开发智能教学系统的智能辅导功能进行了基础研究，该功能是基于学习者与系统之间的低层交互的附加功能。因此，根据学习者的行为信息，如鼠标操作的日志数据、网络摄像头观察的姿势和眼球跟踪数据，可以推断出学习者的心理状态。此外，还提出了学习者行为日志数据与其心理状态之间一般关系的本体描述，作为智能辅导系统的知识模型。

In this study we carried out fundamental research for development the intelligent mentoring function for intelligent tutoring systems as additional function based on Low Level Interaction between learners and systems. As a result, some inference methods of learners' mental states from information on learners' behavior i.e., log data of mouse operations, postures investigated via Web camera and eye tracking tracing data. Additionally, ontological description on general relationship between some log data on learners' behavior and their mental states are proposed as a knowledge model for the intelligent mentoring system.