Individual-difference factors in visually induced motion sickness and vection: Findings from multiple studies on field dependence, age, and biological sex
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
The illusion of self-motion provoked by dynamic visual stimulation is known as vection and is a common phenomenon when using visual displays such as virtual reality, video games, or movie theatres. Vection has been historically linked to visually induced motion sickness (VIMS), a phenomenon similar to traditional motion sickness characterized by various symptoms including nausea, fatigue, or eyestrain. Many factors are associated with an individual's susceptibility to VIMS and vection, but their impact is not well understood. Here, we investigated how field dependence, biological sex, and age are linked to the occurrence of VIMS and vection. To achieve this, we combined the datasets from four independent experimental studies with a pooled sample size of N = 336, including 237 younger and 99 older adults. Our results demonstrated that younger adults experienced significantly more VIMS compared to older adults and that women reported more VIMS than men (although this effect was rather weak). Additionally, field dependence was positively correlated with vection in younger adults, but no relationship between field dependence and VIMS was found. Overall, the findings from this study suggest that field dependence is not a relevant factor related to VIMS. Interestingly, older adults seem to be at lower risk of experiencing VIMS, which is encouraging considering that many novel applications are tailored towards an ageing population for rehabilitation or training purposes.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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