Quantitative Analysis of Eye Movements during Singing of Early Childhood Children
Bibliographic record
Abstract
Early childhood children tend to make musical expressions watching other children or the teacher’s piano accompaniment. However, it has not been inspected yet how eye movement is affected by music. To provide the optimized procedure to capture eye movement’s characteristics reflecting music, the statistical technique was used to evaluate effective parameters. In this study, eye trackers (Tobii Glasses 2) were used to acquire data of eye movements during musical expression of early childhood children and to conduct quantitative analysis. 3-year-old, 4-year-old, and 5- year-old children in two early childhood facilities (n=58) participated in eye-tracking while singing multiple songs of major and minor. This paper focuses on saccade (rapid eye movement) and gaze behaviors of early childhood children and mainly conducts, a three-way analysis of variance (ANOVA) on the acquired data (age * facility*tonality). As a result, it was found that the number of occurrences of saccade and the total moving distances of saccade showed a statistical significance between means regarding differences in the tonality of major/minor key of songs, and childcare forms.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".