Extensions of Exercise and Performance Learning Assistant System for Usability Improvements

IF 1.7 4区计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Journal of Software-Evolution and Process Pub Date : 2023-11-01 DOI:10.17706/jsw.18.4.218-227

Irin Tri Anggraini, Nobuo Funabiki, Wan-Chia Huang, Cheng-Liang Shih, Chih-Peng Fan

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Abstract

: To support exercise or performance learning at home, we have developed an Exercise and Performance Learning Assistant System (EPLAS) as a web application system using Node.js. EPLAS provides the model performance video from the instructor to be followed, and the feedback function of rating the user performance using OpenPose . Currently, Yoga performances are implemented in EPLAS as a popular exercise. However, the current implementation of EPLAS is not sufficient in making the user immersed in practicing the performance. Besides, it is not friendly for a user to control the exercise from a distant place. In this paper, we implement two extensions of EPLAS for improving usability by adopting the mood-elevating background using scenery videos of tourist spots and the remote-control function using Quick Response (QR) code . For evaluations, we prepared 10 Yoga videos and 10 tourist videos for the extended EPLAS and asked 20 students in Okayama University, Japan, to use them. We confirmed the effectiveness of the questionnaire results.

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