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Proceedings of

10th International Conference On Advances In Computing, Control And Networking ACCN 2020

"AUTOMATIC DETECTION OF STACKING IN TASK USING VR SPACE"

Fumiko Harada Hiromitsu Shimakawa Shota Hashimura
DOI
10.15224/978-1-63248-184-9-03
Pages
11 - 15
Authors
3
ISBN
978-1-63248-184-9

Abstract: “Lessons tailored to the situation of understanding have a high learning effect, but it is difficult to keep track of students' understanding. In this paper, we propose a method that use VR to estimate whether students in a task have outlooks for the answer from body movements. As a result of the experiment, we succeeded in estimating the outlook of the answer with 75% accuracy but cannot found that the prospect itself was correct or not. This makes it possible to detect a state that the student is stuck in the task and the understanding is stagnant, and it is possible to provide a lesson tailored to the student's understanding state.”

Keywords: Education, Virtual Reality

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