Head-EyeK: Head-Eye Coordination and Control Learned in Virtual Reality
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
Human head-eye coordination is a complex behavior, shaped by physiological constraints, psychological context, and gaze intent. Current context-specific gaze models in both psychology and graphics fail to produce plausible head-eye coordination for general patterns of human gaze behavior. In this paper, we: 1) propose and validate an experimental protocol to collect head-eye motion data during sequential look-at tasks in Virtual Reality; 2) identify factors influencing head-eye coordination using this data; and 3) introduce a head-eye coordinated Inverse Kinematic gaze model Head-EyeK that integrates these insights. Our evaluation of Head-EyeK is three-fold: we show the impact of algorithmic parameters on gaze behavior; we show a favorable comparison to prior art both quantitatively against ground-truth data, and qualitatively using a perceptual study; and we show multiple scenarios of complex gaze behavior credibly animated using Head-EyeK.
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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 | 0.001 | 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 | 0.000 |
| 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 it