Postural and emotional changes following repeated exposure to standing at a virtual height
Bibliographic record
Abstract
Postural threat influences standing balance control, yet only some of these changes are attenuated with repeated exposure to the threat (Johnson et al. 2019; Zaback et al. 2019). This study used virtual reality to repeatedly expose subjects to a height-induced postural threat to determine if similar emotional and postural changes are observed. We hypothesized that repeated exposure to a virtual-height would minimize the emotional response, however, most threat-related balance control changes would remain unchanged. Seven healthy young adults (6 females) completed a series of 60-s quiet standing trials while wearing a head-mounted display and immersed in a virtual lab standing on a Low height ( 0.8m above ground, away from the platform edge; 2 trials) and High platform (3.2m above ground, at platform edge; 15 trials). Each trial was followed by a seated rest. Fear of falling, perceived anxiety and confidence, and attentional focus were measured using questionnaires. Electrodermal activity (arousal) and forceplate-derived centre of pressure (COP) measures were recorded for each trial. Fear, anxiety, confidence, arousal, and attentional focus all significantly changed with initial exposure to a virtual-height and were subsequently attenuated following repeated exposure. In contrast, most height-related changes in balance control did not adapt with repeated exposure. These results suggest that some threat-related postural changes are context dependent, and repeated exposure to virtual heights can be used to examine relationships between emotional state, attentional focus, and postural control.Acknowledgments: Funded by NSERC
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".