HKiss: Real world based haptic interaction with virtual 3D avatars
Bibliographic record
Abstract
Many researchers around the world are aiming to leverage the sense of touch in the communication medium between multiuser 3D virtual world and real environment. In this paper we propose a system that brings 3D avatar centric virtual interpersonal communication events as a form of haptic stimulation to the real world users. In order to render the haptic stimulations, we considered a neck piece (tactile haptic device) that the real users can wear in a scarf-like suit. Further, we enhanced the Linden Lab's multiuser online 3D virtual world, Second Life in order to facilitate the haptic communications. In our model when one of the virtual avatars kisses the other in Second Life, an event is triggered. The event is decoded by our system to send haptic based kiss to the real user via the Bluetooth-enabled neck piece hardware. Some of the potential applications of the proposed approach includes distant lover's communication, remote child caring, and stress recovery.
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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 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 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".