Towards Modeling of Virtual Reality Welding Simulators to promote Accessible and Scalable Training

要旨

The US manufacturing industry is currently facing a welding workforce shortage which is largely due to inadequacy of widespread welding training. To address this challenge, we present a Virtual Reality (VR)-based training system aimed at transforming state-of-the-art-welding simulations and in-person instruction into a widely accessible and engaging platform. We applied backward design principles to design a low-cost welding simulator in the form of modularized units through active consulting with welding training experts. Using a minimum viable prototype, we conducted a user study with 24 novices to test the system’s usability. Our findings show (1) greater effectiveness of the system in transferring skills to real-world environments as compared to accessible video-based alternatives and, (2) the visuo-haptic guidance during virtual welding enhances performance and provides a realistic learning experience to users. Using the solution, we expect inexperienced users to achieve competencies faster and be better prepared to enter actual work environments.

著者
Ananya Ipsita
Purdue University, West Lafayette, Indiana, United States
Levi Erickson
Purdue University, West Lafayette, Indiana, United States
Yangzi Dong
Purdue University, West Lafayette, Indiana, United States
Joey Huang
University of California, Irvine , Irvine, California, United States
Alexa K. Bushinski
Purdue University, West Lafayette, Indiana, United States
Sraven Saradhi
Purdue University, West Lafayette, Indiana, United States
Ana M. Villanueva
Purdue University, West Lafayette, Indiana, United States
Kylie A. Peppler
University of California, Irvine, Irvine, California, United States
Thomas S. Redick
Purdue University, West Lafayette, Indiana, United States
Karthik Ramani
Purdue University, West Lafayette, Indiana, United States
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3517696

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: VR, AR, and 3D for Learning

386
5 件の発表
2022-05-04 01:15:00
2022-05-04 02:30:00