Design an empathic virtual human to encourage and persuade learners in e-learning systems

Studies indicate that making learners feel good is important only minor to clear knowledge transformation. Many studies have tried to use virtual humans as a part of interface in learning systems to increase the effect of instructions. Based on social interaction and pedagogical theories, many e-learning systems use animated films or virtual reality to boost human-computer engagement and ease their negative emotions. However, affective learning systems still need much research to improve their functionalities and usability. This study proposed a convenient approach to develop an emotionally interactive learning system; learners can express their emotions by mouse-clicking while learning. A virtual human was created to empathically react to learners in proactive and reactive ways to encourage and persuade them into persistent learning and help achieve their goals. Experimental results show that, averagely, subjects can tell virtual human's emotions and agree to its empathic reactions. Persuasion conducted by virtual human could not increase subjects' learning time, but could significantly increase their completion rate of exercises.

[1]  James C. Lester,et al.  Animated Pedagogical Agents: Face-to-Face Interaction in Interactive Learning Environments , 2000 .

[2]  Patricia D. Mautone,et al.  Social cues in multimedia learning: Role of speaker's voice. , 2003 .

[3]  Scotty D. Craig,et al.  AutoTutor Detects and Responds to Learners Affective and Cognitive States , 2008 .

[4]  Ning Wang,et al.  The politeness effect: Pedagogical agents and learning outcomes , 2008, Int. J. Hum. Comput. Stud..

[5]  James C. Lester,et al.  The persona effect: affective impact of animated pedagogical agents , 1997, CHI.

[6]  James C. Lester,et al.  Modeling and evaluating empathy in embodied companion agents , 2007, Int. J. Hum. Comput. Stud..

[7]  Julita Vassileva,et al.  Affective pedagogical agents and user persuasion , 2001, HCI.

[8]  Chih-Wei Chang,et al.  Building an Interactive Caring Agent for Students in Computer-based Learning Environments , 2007, Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007).

[9]  B. J. Fogg,et al.  Persuasive technology: using computers to change what we think and do , 2002, UBIQ.

[10]  Soyoung Kim,et al.  Designing nonverbal communication for pedagogical agents: When less is more , 2009, Comput. Hum. Behav..

[11]  Mark H. Davis Empathy: A Social Psychological Approach , 1994 .

[12]  Jonathan Klein,et al.  This computer responds to user frustration: Theory, design, and results , 2002, Interact. Comput..

[13]  R. Mayer,et al.  Fostering social agency in multimedia learning: Examining the impact of an animated agent’s voice ☆ , 2005 .

[14]  R. Atkinson Optimizing learning from examples using animated pedagogical agents. , 2002 .

[15]  James C. Lester,et al.  Animated pedagogical agents and problem-solving effectiveness: a large-scale empirical evaluation , 1997 .

[16]  Yanghee Kim,et al.  Pedagogical agents as learning companions: the impact of agent emotion and gender , 2007, J. Comput. Assist. Learn..

[17]  James C. Lester,et al.  The Case for Social Agency in Computer-Based Teaching: Do Students Learn More Deeply When They Interact With Animated Pedagogical Agents? , 2001 .

[18]  S Tzvetanova,et al.  Affect assessment in educational system using outSite factors , 2005 .

[19]  P. Ekman,et al.  Facial action coding system: a technique for the measurement of facial movement , 1978 .

[20]  John F. Canny,et al.  More than face-to-face: empathy effects of video framing , 2009, CHI.