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A System for Augmenting Humans’ ability to Learn Kendama Tricks through Virtual Reality Training

Authors:

Hitoshi Kawasaki,

Sohei Wakisaka,

Atsushi Hiyama,

Masahiko InamiAuthors Info & Claims

AHs '22: Proceedings of the Augmented Humans International Conference 2022

Pages 152 - 161

https://doi.org/10.1145/3519391.3519404

Published: 18 April 2022 Publication History

Abstract

We developed a system for augmenting humans’ ability to learn Kendama tricks through virtual reality (VR) training. It is often considered to be difficult to play because the ball moves fast, and it is difficult to understand the factors that lead to the success or failure. With this system, we reduced the difficulty of Kendama by slowing down the speed of the ball within a VR space. In addition, this system used the results of detailed measurements of the factors that lead to the success or failure and presented its information to users in an easy-to-understand manner. As a result of the experiment, we confirmed that VR training which used the proposed method has the potential to increase the proficiency of the users in both physical and VR spaces as well as their confidence in succeeding, as compared to VR training which did not.

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Cited By

Monnai YMuramoto GYazaki TNaitou RSaito HMaekawa AInami M(2024)共進化するテラヘルツ無線技術と人間拡張工学IEICE Communications Society Magazine10.1587/bplus.18.14518:2(145-157)Online publication date: 2024
https://doi.org/10.1587/bplus.18.145
Matsumoto TWu ELiao CKoike H(2024)ARpenSki: Augmenting Ski Training with Direct and Indirect Postural Visualization2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)10.1109/VR58804.2024.00024(1-9)Online publication date: 16-Mar-2024
https://doi.org/10.1109/VR58804.2024.00024
Inamura TNagata KTakahashi N(2024)Implementation of a Virtual Success Experience System with Difficulty Adjustment for Enhancing Self-Efficacy2024 IEEE/SICE International Symposium on System Integration (SII)10.1109/SII58957.2024.10417317(259-265)Online publication date: 8-Jan-2024
https://doi.org/10.1109/SII58957.2024.10417317
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cover image ACM Other conferences

AHs '22: Proceedings of the Augmented Humans International Conference 2022

March 2022

350 pages

ISBN:9781450396325

DOI:10.1145/3519391

Copyright © 2022 ACM.

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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Publication History

Published: 18 April 2022

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JSPS KAKENHI (#JP19H01129)

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AHs 2022

AHs 2022: Augmented Humans 2022

March 13 - 15, 2022

Kashiwa, Chiba, Japan

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Cited By

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https://doi.org/10.1587/bplus.18.145
Matsumoto TWu ELiao CKoike H(2024)ARpenSki: Augmenting Ski Training with Direct and Indirect Postural Visualization2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)10.1109/VR58804.2024.00024(1-9)Online publication date: 16-Mar-2024
https://doi.org/10.1109/VR58804.2024.00024
Inamura TNagata KTakahashi N(2024)Implementation of a Virtual Success Experience System with Difficulty Adjustment for Enhancing Self-Efficacy2024 IEEE/SICE International Symposium on System Integration (SII)10.1109/SII58957.2024.10417317(259-265)Online publication date: 8-Jan-2024
https://doi.org/10.1109/SII58957.2024.10417317
Goutsu YInamura T(2024)Instant Difficulty Adjustment using User Skill Model Based on GPDM in VR Kendama Task2024 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR)10.1109/AIxVR59861.2024.00026(138-146)Online publication date: 17-Jan-2024
https://doi.org/10.1109/AIxVR59861.2024.00026
Inamura T(2023)Digital Twin of Experience for Human–Robot Collaboration Through Virtual RealityInternational Journal of Automation Technology10.20965/ijat.2023.p028417:3(284-291)Online publication date: 5-May-2023
https://doi.org/10.20965/ijat.2023.p0284
Liu RWu ELiao CNishioka HFuruya SKoike H(2023)PianoSyncAR: Enhancing Piano Learning through Visualizing Synchronized Hand Pose Discrepancies in Augmented Reality2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)10.1109/ISMAR59233.2023.00101(859-868)Online publication date: 16-Oct-2023
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Suzuki YSakamoto DOno T(2023)Gino .Aiki: Mixed Reality-based Physical Motor Skill Training in Aikido2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)10.1109/ISMAR-Adjunct60411.2023.00112(519-524)Online publication date: 16-Oct-2023
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Okada YSeo CMiyakawa STaniguchi MKanosue KOgata HOhya J(2023)Virtual Ski Training System that Allows Beginners to Acquire Ski Skills Based on Physical and Visual Feedbacks2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)10.1109/IROS55552.2023.10342020(1268-1275)Online publication date: 1-Oct-2023
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Ghonasgi KMirsky RBhargava NHaith AStone PDeshpande A(2023)Kinematic coordinations capture learning during human–exoskeleton interactionScientific Reports10.1038/s41598-023-35231-313:1Online publication date: 26-Jun-2023
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Masai KKajiyama TMuramatsu TSugimoto MKimura T(2022)Virtual Reality Sonification Training System Can Improve a Novice's Forehand Return of Serve in Tennis2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)10.1109/ISMAR-Adjunct57072.2022.00182(845-849)Online publication date: Oct-2022
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