Information Needs of Deaf Welders: Improving the Accessibility of Middle-Skill Work

Katherine, Hill,; Kota, Rakshita; Giuntoli, Rebecca D.; Fleischmann, Kenneth R.

doi:10.5281/zenodo.7767692

Cited by 1 publication

(2 citation statements)

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“…Researchers from the School of Information, the LBJ School of Public Affairs, the Walker Department of Mechanical Engineering, and the Chandra Family Department of Electrical and Computer Engineering are collaborating to develop solutions that can leverage AI to enhance skilled trades by upskilling workers and improving their work conditions instead of replacing them. This study about welding training builds on prior studies by our team focusing on engineering students who build race cars (Hill et al, 2022) and deaf welders (Hill et al, 2023) The first two authors conducted the interviews via Zoom Audio, with each interview lasting 25-55 minutes. They recorded the interviews through Zoom and transcribed them using an online transcription service (Rev.com).…”

Section: Methodsmentioning

confidence: 99%

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Welding Instructors' Perspectives on Using AI Technology in Welding Training

Lassiter,

Collier,

Fleischmann

et al. 2023

Proceedings of the Association for Information Science and Tech

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The welding industry in the U.S. faces a serious shortage of skilled welders. The goal of this paper is to explore welding instructors' attitudes toward applications of Augmented Reality (AR) and Virtual Reality (VR) as well as artificial intelligence (AI) in welding training. Such approaches could allow future welders to acquire welding skills faster and in a safer work environment. Also, the welding industry could attract a more diverse group of workers. This paper builds on previous literature and studies researching the use of AR, VR, and AI in welding and in other comparable industries. The paper reports findings from interviews with eight welding instructors at a community college to obtain insights regarding how they believe AR, VR, and AI could be used in welding training. The paper provides implications for using AR, VR, and AI to attract and retain the next generation of welders.

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Section: Methodsmentioning

confidence: 99%

“…The article explicitly mentions training and skills acquisition as a benefit of technology for ageing workers. The most relevant study for our research is a study of how accessibility can be improved for deaf welders (Hill et al, 2023).…”

Section: Accessibilitymentioning

confidence: 99%