Computationally augmenting traditional embroidery practices: an autobiographical design process with first-person patient experience for amblyopia follow up treatment activity
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
Amblyopia is a common neurodevelopmental condition affecting people's vision and quality of life. Follow up treatment plays an essential role in improving amblyopia, and experts have proposed embroidery as a potential activity many times. The low compliance of amblyopia patients is one of the impediments. However, there are currently no targeted embroidery activities designed for patients. Designing embroidery activities to meet the needs of amblyopia patients in human-computer interaction and increasing patient compliance has become a design challenge in the current research field. In this research, we present an autobiographical design process to explore the augmentation of traditional embroidery activities with computationally generated patterns based on the stitching preferences of the user. We propose two design considerations for future research: Design with technology to assist traditional handcrafting and personalized design for long-term follow-up treatment through lived experience.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| 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