Empathic Multiple Tutoring Agents for Multiple Learner Interface
Abstract
This paper describes a multiple user e-learning interface with multiple tutoring character agents. The character agents use eye movement information to facilitate empathy-relevant reasoning and behavior. Eye Information is used to monitor user's attention and interests, to personalize the agent behaviors, and for exchanging information of different learners. The system reacts to multiple users' eye information in real-time and the empathic character agents owned by each learner exchange learner's information to help to form the online learning community. Based on these measures, the interface infers the focus of attention of the learner and responds accordingly with affective and instructional behaviors. The paper also reports on some preliminary usability test results concerning how users respond to the empathic functions and interact with other learners using the character agents
Authors: Hua Wang, Jie Chi Yang, Mark Chignell, Mitsuru Ishizuka