Baltimore , Maryland
June 25, 2023
June 25, 2023
June 28, 2023
Virtual and Augmented Reality Applications in Manufacturing Education
Manufacturing Division (MFG)
19
10.18260/1-2--43621
https://peer.asee.org/43621
349
Haedong Kim is currently a Ph.D. candidate at the Department of Industrial and Manufacturing Engineering, the Pennsylvania State University. His research interests include systems analytics, health informatics, and behavioral modeling.
Dr. Richard Zhao is an Assistant Professor in the Department of Computer Science at the University of Calgary. He leads the Serious Games Research Group, focusing on games for training and education where he utilizes artificial intelligence, virtual reality, and eye-tracking technologies. He received his M.Sc. and Ph.D. in Computing Science from the University of Alberta. Dr. Zhao has served as a program committee member on academic conferences such as the International Conference on the Foundations of Digital Games (FDG), the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), and the ACM Special Interest Group on Computer Science Education (SIGCSE) Technical Symposium, and as a reviewer for the ASEE Annual Conference.
Dr. Faisal Aqlan is an Associate Professor of Industrial Engineering at The University of Louisville. He received his Ph.D. in Industrial and Systems Engineering form The State University of New York at Binghamton.
Dr. Hui Yang is a Professor in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at The Pennsylvania State University, University Park, PA. Dr. Yang's research interests focus on sensor-based modeling and analysis of comple
A hands-on curriculum that blends theory and practical skills is essential to teach manufacturing. An integral part of such a curriculum is a learning factory, which allows engineering students to experience the entire manufacturing cycle of a product in a realistic factory environment. In addition to learning the required technical skills, students can practice their collaborative skills and communication via teamwork in a learning factory. With virtual reality (VR), environments can be made using game engines that simulate their real-world equivalents, providing realistic experiences. Compared to traditional remote learning, VR-based learning together with online remote learning is experiential, allows for natural interaction, and is only limited by the capabilities of the hardware running the virtual environments. The cost of VR devices has dramatically reduced with standalone VR devices such as Meta Quest 2, making these devices a compelling option for specialized educational simulations. A VR Learning Factory should support synchronous collaboration of multiple learners in the same environment. This is a critical advantage of using VR, since collaboration is an essential skill for engineers. To maximize this benefit, it is imperative to develop an appropriate VR interaction mode, because it can greatly influence the effectiveness of collaborations. In this research, we explore multi-user interaction within the context of the VR Learning Factory and compare two modes of virtual user interaction that we call natural and magic. Magic interactions include three additional tools: object container, holographic representation, and multi-object selection. We conduct an analysis of the two modes of VR interaction in a craft production task and show increased performance of using magic interactions.
Hartleb, T., & Kim, H., & Zhao, R., & Aqlan, F., & Yang, H. (2023, June), Exploring Magic Interactions for Collaboration in Virtual Reality Learning Factory Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--43621
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