Effects of inverted vision on hand-pointing performance in altered gravity during parabolic flight
Bibliographic record
Abstract
An accurate perception of the body and the environment is important for programming pointing accuracy and controlling motor action. The objective of this research effort was to assess the influence of gravity on these cognitive and sensorimotor processes. The integration of vestibular, visual, proprioceptive, and cognitive cues was investigated during a pointing task that required eye-hand coordination. Parabolic flights provide a unique environment to understand the specific role of gravity since both vestibular and proprioceptive inputs, as well as the gravitational reference, are altered during the various gravity levels obtained. Additionally, visual input can be altered using prisms that invert the visual scene. Six subjects participated in a within-subject experiment during the 61st ESA and 112th CNES parabolic flight campaigns. Seated subjects performed hand-pointing motions at randomly appearing dots on a 22-inch tactile display during 15 parabolas under three different gravity levels (0G, 1G, 1.8G) and two different visual conditions (normal, up-down inverted). Pointing latency (i.e. reaction time and duration of movement) and pointing accuracy (i.e. error between the target position and the actual hit) were recorded using custom-built software. Results show a statistically significant increase in reaction time and action time (i.e. decrease in performance), and a statistically significant upward shifting in the vertical pointing direction during up-down inverted vision with respect to normal vision. However, data did not reveal statistical significant differences in pointing performance between gravity levels. We discuss the significance of these results regarding the mechanisms of sensory integration for eye-hand coordination and briefly propose future research directions in this area.
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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 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".