abstract

Evaluating the influence of interaction technology on procedural learning using Virtual Reality

Authors:

Sylvain Noblecourt,

Geoffrey Bourgoin,

Vincent Havard,

David BaudryAuthors Info & Claims

VRST '21: Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology

Article No.: 68, Pages 1 - 3

https://doi.org/10.1145/3489849.3489918

Published: 08 December 2021 Publication History

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Abstract

Within the context of industry 4.0, this paper studies the influence of interaction technology (Vive controller and Knuckles) on manufacturing assembly procedural training using Virtual Reality. To do so, an experiment with 24 volunteers have been conducted and these participants have been separated in two groups: one using Vive controller and the other using Knuckles. Our conclusions are based on two indicators: Time to realize all tasks and the number of manipulations. This study shows that, after get used to, volunteers using Knuckles are faster than the other group but for some very delicate tasks, they need more manipulations to succeed.

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Delgado CMayer R(2024)Implementing Pretraining to Optimise Learning in Immersive Virtual RealityJournal of Computer Assisted Learning10.1111/jcal.1309941:1Online publication date: 23-Dec-2024
https://doi.org/10.1111/jcal.13099
Dallel MHavard VDupuis YBaudry D(2023)Digital twin of an industrial workstationEngineering Applications of Artificial Intelligence10.1016/j.engappai.2022.105655118:COnline publication date: 1-Feb-2023
https://dl.acm.org/doi/10.1016/j.engappai.2022.105655

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Information

Published In

VRST '21: Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology

December 2021

563 pages

ISBN:9781450390927

DOI:10.1145/3489849

Editors:
Yuichi Itoh
Aoyama Gakuin University, Japan
,
Kazuki Takashima
Tohoku University, Japan
,
Parinya Punpongsanon
Osaka University, Japan
,
Misha Sra
University of California, Santa Barbara, USA
,
Kazuyuki Fujita
Tohoku University, Japan
,
Shigeo Yoshida
The University of Tokyo, Japan
,
Tham Piumsomboon
University of Canterbury, New Zealand

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

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Published: 08 December 2021

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VRST '21: 27th ACM Symposium on Virtual Reality Software and Technology

December 8 - 10, 2021

Osaka, Japan

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Delgado CMayer R(2024)Implementing Pretraining to Optimise Learning in Immersive Virtual RealityJournal of Computer Assisted Learning10.1111/jcal.1309941:1Online publication date: 23-Dec-2024
https://doi.org/10.1111/jcal.13099
Dallel MHavard VDupuis YBaudry D(2023)Digital twin of an industrial workstationEngineering Applications of Artificial Intelligence10.1016/j.engappai.2022.105655118:COnline publication date: 1-Feb-2023
https://dl.acm.org/doi/10.1016/j.engappai.2022.105655

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Extending Virtual Reality Display Wall Environments Using Augmented Reality

Multi-sensorial virtual reality and augmented human food interaction

Virtual Fieldwork: Designing Augmented Reality Applications Using Virtual Reality Worlds

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