Recent developments and results of ASC-Inclusion: An Integrated Internet-Based Environment for Social Inclusion of Children with Autism Spectrum Conditions
Bibliographic record
Abstract
Individuals with Autism Spectrum Conditions (ASC) have \nmarked difficulties using verbal and non-verbal communication for social interaction. The ASC-Inclusion project helps \nchildren with ASC by allowing them to learn how emotions \ncan be expressed and recognised via playing games in a virtual \nworld. The platform assists children with ASC to understand \nand express emotions through facial expressions, tone-of-voice \nand body gestures. In fact, the platform combines several stateof-the art technologies in one comprehensive virtual world, \nincluding analysis of users’ gestures, facial, and vocal expressions using standard microphone and web-cam, training \nthrough games, text communication with peers and smart \nagents, animation, video and audio clips. We present the recent findings and evaluations of such a serious game platform \nand provide results for the different modalities.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".