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BESIDE: Body Experience and Sense of Immersion in Digital Paleontological Environment

Authors:

Hiroshi MizoguchiAuthors Info & Claims

CHI EA '15: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems

Pages 1283 - 1288

https://doi.org/10.1145/2702613.2732824

Published: 18 April 2015 Publication History

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Abstract

We are developing an immersive learning support system for a paleontological environment within a museum. The system measures the physical movement of the learner using a Kinect sensor, and provides a sense of immersion in the paleontological environment by adapting the surroundings according to these movements. As the first stage of this project, we have developed a prototype system that allows learners to experience the paleontological environment. Here, we evaluate the operability of the system, degree of learning support, and sense of immersion for primary schoolchildren. This paper summarizes the current system and describes the evaluation results.

References

[1]

Falk, J, H., and Dierking, L,D. Museum Experience Revisited 2nd ed. Left Coast Press, Walnut Creek California, USA, 2012.

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[2]

Stocklmayer, S, M., Rennie, L, J., Gilbert, J, K. The roles of the provision of effective science education, Studies in Science Education, 46(1), Routledge Journals, TAYLOR & FRANCIS LTD (2010), 1--44.

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[3]

Adachi, T., Goseki,M., Muratsu, K., Mizoguchi, M., Namatame, M., Sugimoto, M., Kusunoki, F., Yamaguchi, E., Imagaki, I., Takeda, Y. Human SUGOROKU: Full-body Interaction System for Students to Learn Vegetation Succession. Interaction Design and Children 2013 (2013), 364--367.

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[4]

Shotton, J., Fitzgibbon, A., Cook, M., Sharp, T., Finocchio, M., Moore, R., Kipman, A., Blake, A. Real-Time Human Pose Recognition in Parts from a Single Depth Image. 2011 IEEE International Conf. CVPR (2011), 1297--1304.

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Cited By

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Tokuoka MKomiya NMizoguchi HEgusa RInagaki SKusunoki F(2019)Implementation and Evaluation of a Wide-Range Human-Sensing System Based on Cooperating Multiple Range Image SensorsSensors10.3390/s1905117219:5(1172)Online publication date: 7-Mar-2019
https://doi.org/10.3390/s19051172
Brulé EBailly GMandryk RHancock MPerry MCox A(2018)Taking into Account Sensory KnowledgeProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173810(1-14)Online publication date: 21-Apr-2018
https://dl.acm.org/doi/10.1145/3173574.3173810

Index Terms

BESIDE: Body Experience and Sense of Immersion in Digital Paleontological Environment
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

CHI EA '15: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems

April 2015

2546 pages

ISBN:9781450331463

DOI:10.1145/2702613

General Chairs:
Bo Begole
Huawei, USA
,
Jinwoo Kim
Yonsei University, Korea
,
Program Chairs:
Kori Inkpen
Microsoft Research, USA
,
Woontack Woo
KAIST, Korea

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2015

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CHI '15

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SIGCHI

CHI '15: CHI Conference on Human Factors in Computing Systems

April 18 - 23, 2015

Seoul, Republic of Korea

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CHI EA '15 Paper Acceptance Rate 379 of 1,520 submissions, 25%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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CHI 2025

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ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

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Cited By

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Tokuoka MKomiya NMizoguchi HEgusa RInagaki SKusunoki F(2019)Implementation and Evaluation of a Wide-Range Human-Sensing System Based on Cooperating Multiple Range Image SensorsSensors10.3390/s1905117219:5(1172)Online publication date: 7-Mar-2019
https://doi.org/10.3390/s19051172
Brulé EBailly GMandryk RHancock MPerry MCox A(2018)Taking into Account Sensory KnowledgeProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173810(1-14)Online publication date: 21-Apr-2018
https://dl.acm.org/doi/10.1145/3173574.3173810

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Recommendations

Experience-based learning support system to enhance child learning in a museum: touching real fossils and "experiencing" paleontological environment

Science Education Enhancement within a Museum using Computer-human Interaction Technology

Visiting a virtual graveyard: designing virtual reality cultural heritage experiences