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http://dx.doi.org/10.7746/jkros.2015.10.2.090

A Method to Resolve the Cold Start Problem and Mesa Effect Using Humanoid Robots in E-Learning  

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)
Publication Information
The Journal of Korea Robotics Society / v.10, no.2, 2015 , pp. 90-95 More about this Journal
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.
Keywords
Humanoid; Robot Based Learning; Mesa effect; Cold Start Problem; Crowd Knowledge;
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Times Cited By KSCI : 2  (Citation Analysis)
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