Introducing the VIMSSQ: Measuring susceptibility to visually induced motion sickness
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Visually induced motion sickness (VIMS) is a specific form of motion sickness caused by dynamic visual content such as Virtual Reality applications. Predicting individual susceptibility to VIMS has proven to be difficult and a reliable method has yet to emerge. Here, we introduce the Visually Induced Motion Sickness Susceptibility Questionnaire (VIMSSQ), a modification of the Motion Sickness Susceptibility Questionnaire uniquely designed to predict the susceptibility to VIMS specifically. Scores on the VIMSSQ are based on incidences of nausea, headache, fatigue, dizziness, and eyestrain during the past use of visual devices. In this proof-of-concept study, 71 adult participants (34 younger, 37 older) engaged in a simulated driving task and VIMS was measured using the Fast Motion Sickness Scale. Strong correlations with the reported level of VIMS were found for the nausea aspects of the VIMSSQ, suggesting that the VIMSSQ may be a useful tool to estimate individuals’ susceptibility to VIMS.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it