Extended Realities for Sensorially Diverse Children
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Learning space for children with different sensory needs, nowadays, can be interactive, multisensory experiences, designed collaboratively by 1) specialists in special-needs learning, 2) extended realities (XR) technologists, and 3) sensorial diverse children, to provide the motivation, challenge, and development of key skills. While traditional audio and visual sensors in XR are challenging for XR applications to meet the needs of visually and hearing impaired sensorial-diverse children, our research goes a step ahead by integrating sensory technologies including haptic, tactile, kinaesthetic, and olfactory feedback that was well received by the children. Our research also demonstrates the protocols for 1) development of a suite of XR-applications; 2) methods for experiments and evaluation; and 3) tangible improvements in XR learning experience. Our research considered and is in compliance with the ethical and social implications and has the necessary approval for accessibility, user safety, and privacy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it