User-Centered Evaluation Framework for Telerobot Interface and Interaction factors -- A Case Study on Medical Device Manufacturing
Bibliographic record
Abstract
The use of telerobots for surgery, military missions or rescue activities are increasingly commonplace, and so are guidelines to achieve an ergonomic design and optimal system-operator performance.However, in medical device manufacturing, in particular for fine-manipulation and highly precise operations, the existing human-machine interface and interaction (HMII) design standards to date are insufficient to ensure a cost-effective ergonomic teleoperation solution, that complies with the learnability, usability, dependability and efficiency required for this case-study.We analyze the most relevant human-system interface and interaction requirements for telerobotic systems applied to medical device manufacturing, and expand on the current standards with knowledge from recent research results in this field.We further our contribution by proposing a use-case-based telerobotic system architecture and experimental setup for human-centered evaluation of the telerobotic system HMII design.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".