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Human SUGOROKU: full-body interaction system for students to learn vegetation succession

Authors:

Yoshiaki TakedaAuthors Info & Claims

IDC '13: Proceedings of the 12th International Conference on Interaction Design and Children

Pages 364 - 367

https://doi.org/10.1145/2485760.2485830

Published: 24 June 2013 Publication History

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Abstract

In this study, we developed a simulation game called "Human SUGOROKU" that consists of a full-body interaction system to enable elementary school students to enjoy and learn vegetation succession. The students' sense of immersion is improved by enabling them to play this game using their body movements. We conducted an experiment with the students and investigated the affects of the full-body interaction through interviews. The results showed that the full-body interaction promotes a sense of immersion in the game. This paper describes the structure of this system and the interview results.

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Yu JXu TKelley CRuppert JRoque R(2024)Leveraging Physical Activities to Support Learning for Young People via Technologies: An Examination of Educational Practices Across the FieldReview of Educational Research10.3102/00346543241248464Online publication date: 18-May-2024
https://doi.org/10.3102/00346543241248464
Sharma KGiannakos M(2024)Carry-forward effect: providing proactive scaffolding to learning processesBehaviour & Information Technology10.1080/0144929X.2024.2411592(1-40)Online publication date: 16-Oct-2024
https://doi.org/10.1080/0144929X.2024.2411592
Shido HNishi HIshii H(2023)Proposal of a New Performance Partner: “Soft Flying Robot”2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)10.1109/RO-MAN57019.2023.10309393(153-158)Online publication date: 28-Aug-2023
https://doi.org/10.1109/RO-MAN57019.2023.10309393
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Index Terms

Human SUGOROKU: full-body interaction system for students to learn vegetation succession
1. Human-centered computing
  1. Human computer interaction (HCI)

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Information & Contributors

Information

Published In

IDC '13: Proceedings of the 12th International Conference on Interaction Design and Children

June 2013

687 pages

ISBN:9781450319188

DOI:10.1145/2485760

Co-chair:
Juan Pablo Hourcade
University of Iowa
,
Conference Chairs:
Nitin Sawhney
The New School
,
Emily Reardon
Sesame Workshop

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 June 2013

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Short-paper

Funding Sources

Japan Society for the Promotion of Science

Conference

IDC '13

Sponsor:

The New School
ACM
Sesame Workshop

IDC '13: Interaction Design and Children 2013

June 24 - 27, 2013

New York, New York, USA

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Overall Acceptance Rate 172 of 578 submissions, 30%

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Cited By

View all

Yu JXu TKelley CRuppert JRoque R(2024)Leveraging Physical Activities to Support Learning for Young People via Technologies: An Examination of Educational Practices Across the FieldReview of Educational Research10.3102/00346543241248464Online publication date: 18-May-2024
https://doi.org/10.3102/00346543241248464
Sharma KGiannakos M(2024)Carry-forward effect: providing proactive scaffolding to learning processesBehaviour & Information Technology10.1080/0144929X.2024.2411592(1-40)Online publication date: 16-Oct-2024
https://doi.org/10.1080/0144929X.2024.2411592
Shido HNishi HIshii H(2023)Proposal of a New Performance Partner: “Soft Flying Robot”2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)10.1109/RO-MAN57019.2023.10309393(153-158)Online publication date: 28-Aug-2023
https://doi.org/10.1109/RO-MAN57019.2023.10309393
Vasalou AGauthier A(2023)The role of CCI in supporting children’s engagement with environmental sustainability at a time of climate crisisInternational Journal of Child-Computer Interaction10.1016/j.ijcci.2023.10060538(100605)Online publication date: Dec-2023
https://doi.org/10.1016/j.ijcci.2023.100605
Rosenbaum L(2023)Move with whom? A framework for analyzing collaboration within embodied learning activitiesLearning Environments Research10.1007/s10984-023-09483-927:2(353-372)Online publication date: 27-Oct-2023
https://doi.org/10.1007/s10984-023-09483-9
Ale MSturdee MRubegni E(2022)A systematic survey on embodied cognitionInternational Journal of Child-Computer Interaction10.1016/j.ijcci.2022.10047833:COnline publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1016/j.ijcci.2022.100478
Xu XLi JYuan THe LLiu XYan YWang YShi YMankoff JDey AKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)HulaMove: Using Commodity IMU for Waist InteractionProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445182(1-16)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445182
Lee-Cultura SSharma KPapavlasopoulou SRetalis SGiannakos MRubegni EVasalou AParés NSawhney N(2020)Using sensing technologies to explain children's self-representation in motion-based educational gamesProceedings of the Interaction Design and Children Conference10.1145/3392063.3394419(541-555)Online publication date: 21-Jun-2020
https://dl.acm.org/doi/10.1145/3392063.3394419
Gelsomini MLeonardi GGarzotto FBernhaupt RMueller FVerweij DAndres JMcGrenere JCockburn AAvellino IGoguey ABjørn PZhao SSamson BKocielnik R(2020)Embodied Learning in Immersive Smart SpacesProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376667(1-14)Online publication date: 21-Apr-2020
https://dl.acm.org/doi/10.1145/3313831.3376667
Lee-Cultura SSharma KPapavlasopoulou SGiannakos M(2020)Motion-Based Educational Games: Using Multi-Modal Data to Predict Player’s Performance2020 IEEE Conference on Games (CoG)10.1109/CoG47356.2020.9231892(17-24)Online publication date: Aug-2020
https://doi.org/10.1109/CoG47356.2020.9231892
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Human SUGOROKU: learning support system of vegetation succession with full-body interaction interface

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