International Journal of Computer Theory and Engineering

Editor-In-Chief: Prof. Mehmet Sahinoglu
Frequency: Quarterly
ISSN: 1793-8201 (Print), 2972-4511 (Online)
Publisher:IACSIT Press
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IJCTE 2014 Vol.6(5): 396-400 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2014.V6.897

Multi-Viewpoint Smartphone AR-Based Learning System for Astronomical Observation

Ke Tian, Mamoru Endo, Mayu Urata, Katsuhiro Mouri, and Takami Yasuda

Abstract—Observational-based learning (OBL) can improve learners’ understanding of astronomical phenomena, such as the lunar phases or solar diurnal motion. This paper introduces the multi-viewpoint smartphone AR-based (M-VSAR) learning system for constructing an OBL environment for astronomical observation. We apply this concept to two learning systems: a solar observation system and a lunar observation system. We illustrate how an M-VSAR system can enhance a learner’s interest in and learning of astronomical phenomena.

Index Terms—Smartphone augmented reality, astronomy observation, lunar phases, solar motion, multi-viewpoint.

K. Tian and T. Yasuda are with the Graduate School of Information Science, Nagoya University, Nagoya, 464-8601 Japan (e-mail: tianke0711@gmail.com, yasuda@is.nagoya-u.ac.jp).
M. Endo is with the School of Engineer, Chukyo University, Toyota, 470-0393 Japan (e-mail: endo@om.sist.chukyo-u.ac.jp).
M. Urata is with the Graduate School of International Development, Nagoya University, Nagoya, 464-8601 Japan (e-mail: mayu@nagoya-u.jp).
K. Mouri is with the Astronomy Section, Nagoya City Science Museum, Nagoya, 460-0008 Japan (e-mail: mouri@nagoya-p.jp).

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Cite:Ke Tian, Mamoru Endo, Mayu Urata, Katsuhiro Mouri, and Takami Yasuda, "Multi-Viewpoint Smartphone AR-Based Learning System for Astronomical Observation," International Journal of Computer Theory and Engineering vol. 6, no. 5, pp. 396-400, 2014.

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