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

Ananya Ipsita, L. J. Erickson, Yangzi Dong, Joey Huang, Alexa K. Bushinski, Sraven Saradhi, Ana Villanueva, Kylie Peppler, Thomas S. Redick, Karthik Ramani

2022CHI Conference on Human Factors in Computing Systems47 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Virtual realityComputer scienceScalabilityHuman–computer interactionTraining (meteorology)Solid modelingWeldingSimulationMultimediaArtificial intelligenceEngineeringOperating systemMechanical engineeringPhysicsMeteorologyAugmented Reality ApplicationsVirtual Reality Applications and ImpactsHuman-Automation Interaction and Safety
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