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  • 标题:Emotional Intelligence Robotics to Motivate Interaction in E-Learning: An Algorithm
  • 本地全文:下载
  • 作者:Dalia khairy ; Salem Alkhalaf ; M. F. Areed
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2021
  • 卷号:12
  • 期号:6
  • 页码:173
  • DOI:10.14569/IJACSA.2021.0120619
  • 出版社:Science and Information Society (SAI)
  • 摘要:The development of emotional intelligence robotics in the learning environment plays valuable support for social interaction among students. Emotional intelligence robots should be scalable to recognize emotions, appear empathetic in learning situations, and enrich the confidence with students for active interaction. This paper presents some related issues about integrating emotional intelligence robotics in E-learning such as its role and outcomes to motivate interaction during education and discover the main aspects of the emotional intelligence between humans and robots. This paper aims to determine the design requirements of emotional robots. Besides, this paper proposed a framework of educational Robotics with Emotional Intelligence in Learning(EREIL). EREIL consists of three main units; student emotions discovery, student emotions representation, and EREIL-Student Communication (RSC). In addition, it introduces a perception of EREIL working. In the future, this paper tries to merge more sensor devices and machine learning algorithms to integrate face analysis with speech recognition. Besides, it can add a persuasion unit in the EREIL robot to convince students with better learning choices to their abilities.
  • 关键词:Robotics; emotional intelligence; interaction; E-learning; motivation; robot with emotional intelligence; machine learning algorithms; face analysis; speech recognition
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