VR Users Are More Relaxed and Optimistic during COVID Lockdown than Others
Bibliographic record
Abstract
Numerous studies have shown how the confinement period linked to the health situation of COVID-19 (SARS-CoV2) has been psychologically destructive for many people. These psychological disorders are generally linked to confinement and isolation. At the same time, virtual reality tools are becoming more popular, the level of immersion in cheap HMD (Head Mounted Display) helmets today allows access to a satisfactory level of presence. Our theory, widely supported by substantial literature, is that the regular use of immersive Virtual Reality during periods of confinement could allow users to better endure the psychological constraints. We observed the correlation between the weekly use of HMD Virtual Reality headsets, during the COVID-19 confinement period and the levels of well-being of users. Our study involved n = 56 participants divided into two groups of users and non-users of HMD headset. They answered 2 SWEMWBS and ONS questionnaires plus a social trust question. The results show a significant correlation between the use of virtual reality headset during COVID-19 lockdown and the level of relaxation and optimistic feeling but also a correlation between this use of VR (Virtual Reality) HMD and the feeling of being less close to others during the same period.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".