Admux Communication Protrocol for Real-Time Multimodal Intreaction
Bibliographic record
Abstract
In our previous work [1], we proposed an adaptive application layer communication framework, named Admux, for multimedia applications incorporating hap tic, video, auditory, and graphics information for non-dedicated networks such as the Internet. In this paper, the contribution is two-fold: first, we present a thorough description of Admux communication protocol and content access/communication management. Second, the evaluation of Admux, using an interactive multimodal 3D Office Slingshot game, is described. The 3D Office Slingshot game involves the communication of synchronous hap tic-audio-video media â" with both tactile and kinesthetic hap tic feedback. The performance evaluation shows that Admux is capable of delivering synchronous hap tic-video data while adapting to network conditions by allocating proportional resources to various media channels. The usability testing with 20 subjects has shown that players have expressed positive feedback about the game.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.010 | 0.001 |
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".