Perceptual impact of gesture control of spatialization
Bibliographic record
Abstract
In two experiments, visual cues from gesture control of spatialization were found to affect auditory movement perception depending on the identifiability of auditory motion trajectories, the congruency of audiovisual stimulation, the sensory focus of attention, and the attentional process involved. Visibility of the performer’s gestures improved spatial audio trajectory identification, but it shifted the listeners’ attention to vision, impairing auditory motion encoding in the case of incongruent stimulation. On the other hand, selectively directing attention to audition resulted in interference from the visual cues for acoustically ambiguous trajectories. Auditory motion information was poorly preserved when dividing attention between auditory and visual movement feedback from performance gestures. An auditory focus of attention is a listener strategy that maximizes performance, due to the improvement caused by congruent visual stimulation and its robustness to interference from incongruent stimulation for acoustically unambiguous trajectories. Attentional strategy and auditory motion calibration are two aspects that need to be considered when employing gesture control of spatialization.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".