RESC: A Rubric-Guided Error–Score Consistency Framework for Action Quality Assessment in Vocational Fitter Training
Wenfeng Mu, Shigang Wang, Jiajia Huang · 2026
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Description
Wenfeng Mu, Shigang Wang, and Jiajia Huang wrote a study from 2026 on grading hands-on skill in trade training with a computer. The test case is filing, a basic task for fitter trainees. Human grading takes expert time, and photo sets with expert grades are small. A plain score from a model also tells the trainee little about what went wrong.
Their method turns the teacher's grading sheet into rules the model must obey. It reads the trainee's body pose from video and names the faults it finds. It then gives a score that can be split into the points lost for each fault. They built a set of filing videos from twenty-five trainees and tested the method by leaving one person out at a time. Its scores tracked expert grades closely, and its fault calls were right most of the time.
Catalog record
| CREATOR | Wenfeng Mu, Shigang Wang, Jiajia Huang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 53 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |