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EmotionChat: A Web Chatroom with Emotion Regulation For E-Learners
Zheng Deli 1,Tian Feng 2 *,Liu Jun 1,Zheng Qinghua 1,Qin Jiwei 1
1.MOE KLINNS Lab and SKLMS Lab, Department of Computer Science and Technology, Xi\'an Jiaotong University
2.SKLMSE and SKLMS Lab, Systems Engineering Institute, Xi\'an Jiaotong University
*Correspondence author
#Submitted by
Subject:
Funding: NationalKeyTechnologiesR&DProgramofChinaunderGrant(No.2006BAK11B02,2006BAJ07B06,2008BAH26B02,2009BAH51B00), theNationalHigh-TechR&DProgramofChinaunderGrant(No.2008AA01Z131), doctoralfundofministryofeducationofchina(No.20090201110060), NationalScienceFoundationofChinaunderGrant(No.60825202,60803079,60921003,60633020,61070072)
Opened online:15 March 2011
Accepted by: none
Citation: Zheng Deli,Tian Feng,Liu Jun.EmotionChat: A Web Chatroom with Emotion Regulation For E-Learners[OL]. [15 March 2011] http://en.paper.edu.cn/en_releasepaper/content/4415081
 
 
In order to compensate for lack of emotion communication between teachers and students in e-learning systems, we have designed and implemented the EmotionChat -- a web chatroom with emotion regulation. EmotionChat perceives e-learners' emotional states based on interactive text. And it recommends resources such as music, cartoons, and mottos to an e-learner when it detects negative emotional states. Meanwhile, it recommends emotion regulation cases to the e-learner's listeners and teachers. The result of our initial experiment shows that EmotionChat can recommend valuable emotion regulation policies for e-learners.
Keywords:e-learning, emotion regulation, emotion regulation recommendation, collaborative filtering, Slope One
 
 
 

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