The EventTable technique
Bibliographic record
Abstract
The EventTable technique is a tangible object tracking technique implemented on a camera vision based tabletop platform. The technique supports an event-driven -- rather than object centric -- tracking technique. Fiducial markers are distributed between objects. When objects are brought into a proximal or connected relationship, a whole marker is formed and recognized by the tracking system. Thus, rather than tracking each individual object, the system tracks user-driven events that occur when two or more objects are proximal. The technique can be used in addition to individual object tracking and touch tracking. This approach provides a reliable and flexible approach to tabletop object tracking for a wide variety of tabletop activities. We describe three prototype applications to illustrate how the distributed marker technique can be applied. We describe the advantages and limitations of this approach. We conclude with a brief discussion of how the EventTable technique enables a shift in human computer interaction research from an information-centric to an action-centric epistemological view on how users' create meaning.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.061 | 0.013 |
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".