Neurophysiological experimental facility for Quality of Experience (QoE) assessment
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
The human brain is the epicenter of every human action, thus neurophysiology will pave the way for understanding human behavior and cognition and their interplay with Quality of Experience (QoE). Recent advances in neurophysiological monitoring tools have allowed useful QoE constructs to be measured in real-time, such as human cognition, attention, emotion, fatigue, perception and task performance. In this paper, we describe a multimodal neurophysiological experimental facility recently implemented for QoE evaluation. A description of the facility and the available equipment is presented. Results of three recent studies are also presented, thus showing that neurophysiological correlates can be obtained for i) natural speech and ii) synthesized speech QoE perception, as well as iii) image preference characterization for multimedia QoE evaluation.
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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) | 0.000 | 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