Multiple Dynamic Pivots Rig for 3D Biped Character Designed along Human-Computer Interaction Principles
Bibliographic record
Abstract
This thesis is addressing the design, implementation and usability testing of a modular extensible animator-centric authoring tool-independent 3D Multiple Dynamic Pivots (MDP) biped character rig.An objective of the thesis is to show that the design of the character rig must be independent of its platform, cater to the needs of the animation workflow based on HCI principles (particularly that of Direct Manipulation) and be modular and extensible in order to build and grow as needed within the production pipeline.In the thesis, the proposed rig design is implemented in Maya, the most widely used and taught commercial 3D animation authoring tool.Another thesis objective is to perform usability testing of the MDP rig with animation students and professionals, in order to gauge the new design's intuitiveness for those relatively new to the trade and those already steeped in its decades of accumulated technical idiosyncrasies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".