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Analysis of cybersickness in virtual nursing simulation: a German longitudinal study
Maria Biniok1, Theresa A Forbrig2, Paul Gellert3
1Department II - Health, Education and Pedagogy, Alice Salomon Hochschule Berlin University of Applied Science, Alice-Salomon-Platz 5, 12627, Berlin, Germany. biniok@ash-berlin.eu.
Virtual reality (VR) sickness symptoms in nursing students are associated with age, with older students experiencing more symptoms initially. The German Virtual Reality Sickness Questionnaire (VRSQ_G) is a reliable tool for measuring these effects in VR simulations.
Area of Science:
- Nursing Education
- Human-Computer Interaction
- Medical Simulation
Background:
- Virtual reality (VR) offers innovative simulation-based education for nursing.
- Head-mounted displays (HMDs) in VR may cause health-related side effects.
- Data on VR side effects, specifically cybersickness, in nursing education is limited.
Purpose of the Study:
- Validate the German version of the Virtual Reality Sickness Questionnaire (VRSQ_G).
- Assess the association of VRSQ_G scores with sex and age in nursing students.
- Evaluate changes in cybersickness symptoms over time during VR simulation.
Main Methods:
- Longitudinal-sectional study involving 38 nursing students.
- Participants completed the VRSQ_G pre-, post-, and 20-minutes post-VR blood draw simulation.
- Confirmatory factor analysis (CFA) and generalized linear models (GLMs) were used for data analysis.
Main Results:
- The VRSQ_G demonstrated a valid structure with sufficient internal consistency for disorientation and total scores.
- Older nursing students reported higher initial cybersickness scores (VRSQ_G total, oculomotor, disorientation).
- Cybersickness symptoms converged across age groups over time; no association with sex was found.
Conclusions:
- The VRSQ_G is a reliable and valid tool for measuring cybersickness in VR nursing simulations.
- Cybersickness symptoms in VR simulations are positively associated with age.
- Further research is needed on age-related cybersickness and establishing clinical relevance thresholds.
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