Eye-Tracking in Immersive Environments: A General Methodology to Analyze Affordance-Based Interactions from Oculomotor Dynamics
Why this work is in the frame
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Bibliographic record
Abstract
This paper aims at presenting a new methodology to study how perceptual and motor processes organized themselves in order to achieve invariant visual information picking-up in virtual immersions. From a head-mounted display, head and eye movements were recorded using tracking devices (magnetic and infrared) that render the six degrees-of-freedom associated with the position and orientation of head movements, and two degrees-of-freedom from one eye. We measured the continuous line of sight's deviation from a pre-selected area on a virtual stimulus. Some preliminary analyses of the dynamical properties of the emergent perceptual and motor patterns are presented as they are considered to be representative of the process of affordance extraction.
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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 | 0.000 | 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 | 0.000 | 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) | 0.002 | 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