Decoding the Connection: Viewer Experience and Video Quality through Human-Centered Constructs
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
This research explores the impact of video quality on viewer experience (VX) in the digital age. Videos are ubiquitous in our lives, yet our understanding of how quality variations affect satisfaction and engagement remains limited. By introducing a one-to-many relationship between Quality of Service (QoS) and Quality of Experience (QoE), the study aims to provide practical and deeper insights for content creators and streaming platforms that contemporary subjective metrics cannot provide. It introduces the concept of VX, a novel extension of the QoE, to better capture the complexities of human response to multimedia content. The research combines qualitative and quantitative methods, utilizing established quality assessment frameworks like SSIMplus. Through a combination of statistical and thematic explorations, we provide the basis of a novel framework that has real-world implications for enhancing user satisfaction and the overall quality of video-based content in an increasingly digital world.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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