The Journal of Korea Robotics Society (로봇학회논문지)

Korea Robotics Society (한국로봇학회)
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A Method to Resolve the Cold Start Problem and Mesa Effect Using Humanoid Robots in E-Learning

휴머노이드 로봇을 활용한 이러닝 시스템에서 Mesa Effect와 Cold Start Problem 해소 방안

  • Kim, Eunji (The school of management, Kyung Hee University) ;
  • Park, Philip (The school of management, Kyung Hee University) ;
  • Kwon, Ohbyung (The school of management, Kyung Hee University)
  • Received : 2015.04.10
  • Accepted : 2015.04.29
  • Published : 2015.05.31
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Abstract

The main goal of e-learning systems is just-in-time knowledge acquisition. Rule-based e-learning systems, however, suffer from the mesa effect and the cold start problem, which both result in low user acceptance. E-learning systems suffer a further drawback in rendering the implementation of a natural interface in humanoids difficult. To address these concerns, even exceptional questions of the learner must be answerable. This paper aims to propose a method that can understand the learner's verbal cues and then intelligently explore additional domains of knowledge based on crowd data sources such as Wikipedia and social media, ultimately allowing for better answers in real-time. A prototype system was implemented using the NAO platform.

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References

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