Life-span study of visually driven postural reactivity: A fully immersive virtual reality approach
Bibliographic record
Abstract
The objective of this study was to assess the development of visuo-motor integration across life-span by measuring the postural reactivity in response to an immersive moving virtual tunnel. Seventy participants whose ages ranged from 5 to 75 years old were tested. They had a normal or corrected to normal visual acuity and a normal stereoscopic vision. Each participant was placed in a virtual tunnel that oscillated in an anterior-posterior fashion at 0.125 Hz, 0.25 Hz and 0.5 Hz. Participants' Body Sway (BS) and Instability Index (II) were measured with a magnetic motion sensor located at the head level. The same two measures were also taken during the fixation of the static tunnel condition and during the eyes closed condition (no visual cues available). A significant main effect of age was found for both BS and II, where children (5 to 16 year-old) and the elderly (65 year-old onward) were more reactive to the stimulation than were the adults (17 to 60 year-old) for all dynamic conditions. Our results suggest that visuo-motor integration, as defined by postural reactivity is not fully developed until 16 to 19 years old as indicated by younger than 16 year-old children's over-reliance on vision to control their posture. This over-reliance on vision disappears during adulthood but seems to come back at an advanced age (65 years onward). Possible explanations are that children over-rely on vision because the primary elements for postural control are not fully developed; whereas in aging it might be explained by a degradation of these systems forcing observers to “spread the load” across alternate sensory systems.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".