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Authors: Mikihiro Tokuoka 1 ; Haruya Tamaki 1 ; Tsugunosuke Sakai 1 ; Hiroshi Mizoguchi 1 ; Ryohei Egusa 2 ; Shigenori Inagaki 3 ; Mirei Kawabata 4 ; Fusako Kusunoki 4 and Masanori Sugimoto 5

Affiliations: 1 Tokyo University of Science, Japan ; 2 JSPS Research Fellow and Kobe University, Japan ; 3 Kobe University, Japan ; 4 Tama Art University, Japan ; 5 Hokkaido University, Japan

ISBN: 978-989-758-239-4

ISSN: 2184-5026

Keyword(s): Kinect V2 Sensor, Immersive, Learning Support System, Body Movements.

Related Ontology Subjects/Areas/Topics: Active Learning ; Collaboration and e-Services ; Computer-Supported Education ; e-Business ; e-Learning ; Enterprise Information Systems ; Immersive Learning ; Information Technologies Supporting Learning ; Learning/Teaching Methodologies and Assessment ; Pattern Recognition ; Theory and Methods ; Virtual Learning Environments

Abstract: As the first step toward realizing an immersive learning support system for museums, Yoshida et al. developed and evaluated a prototype system. However, this system was problematic in that it could only be operated by using simple body movements. Moreover, the other problem was that learning about paleontology itself cannot be performed only by learning about a paleontological environment. Therefore, we developed an immersive learning support system "BELONG" as an upgraded version of the above-mentioned system. Using a recognizer capable of gesture recognition, the system can be operated using complicated body movements. The improved system enables learners to enhance their sense of immersion in a paleontological environment and learn about the fossil itself and its paleontology. This paper summarizes the prototype of "BELONG" and describes the experiments that were performed to evaluate its ability to achieve learning support and immersion.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Tokuoka, M.; Tamaki, H.; Sakai, T.; Mizoguchi, H.; Egusa, R.; Inagaki, S.; Kawabata, M.; Kusunoki, F. and Sugimoto, M. (2017). BELONG: Body Experienced Learning Support System based on Gesture Recognition - Enhancing the Sense of Immersion in a Dinosaurian Environment. In Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-239-4; ISSN 2184-5026, pages 487-492. DOI: 10.5220/0006357104870492

@conference{csedu17,
author={Mikihiro Tokuoka. and Haruya Tamaki. and Tsugunosuke Sakai. and Hiroshi Mizoguchi. and Ryohei Egusa. and Shigenori Inagaki. and Mirei Kawabata. and Fusako Kusunoki. and Masanori Sugimoto.},
title={BELONG: Body Experienced Learning Support System based on Gesture Recognition - Enhancing the Sense of Immersion in a Dinosaurian Environment},
booktitle={Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2017},
pages={487-492},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006357104870492},
isbn={978-989-758-239-4},
issn={2184-5026},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - BELONG: Body Experienced Learning Support System based on Gesture Recognition - Enhancing the Sense of Immersion in a Dinosaurian Environment
SN - 978-989-758-239-4
IS - 2184-5026
AU - Tokuoka, M.
AU - Tamaki, H.
AU - Sakai, T.
AU - Mizoguchi, H.
AU - Egusa, R.
AU - Inagaki, S.
AU - Kawabata, M.
AU - Kusunoki, F.
AU - Sugimoto, M.
PY - 2017
SP - 487
EP - 492
DO - 10.5220/0006357104870492

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