Assessing Student Visual Fatigue in Virtual Semiconductor Labs via Head-Mounted Displays: A Computer Vision Syndrome Questionnaire (CVS-Q)
Journal
Proceeding - 2023 IEEE 3rd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering, MI-STA 2023
Date Issued
2023-01-01
Author(s)
Alnagrat A.J.A.
Akeel A.A.A.
Salem A.A.M.A.
Khalefah S.E.A.S.
DOI
10.1109/MI-STA57575.2023.10169673
Abstract
This paper evaluates visual fatigue among students in a virtual semiconductor lab using HMDs - the HP Reverb G2 and Oculus Quest 2 - and the CVS-Q questionnaire. The study measures the frequency of visual fatigue symptoms (never, occasionally, or always) and aims to determine the effects of HMD usage on visual fatigue and eye strain, providing insight into the benefits and drawbacks of using HMDs in virtual labs. The study was conducted during the COVID-19 pandemic and aims to determine the effects of HMD usage on visual fatigue and eye strain among students in a virtual semiconductor laboratory learning environment. The results of this evaluation will provide insight into the potential benefits and drawbacks of HMD usage in virtual laboratory environments and inform the development of strategies to mitigate visual fatigue.
Subjects
File(s)