IoT Avatars: Mixed Reality Hybrid Objects for CoRe Ambient Intelligent Environments
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
The Internet of Things (IoT) continues its growth, adoption, toward ubiquitous usage but is not without the inevitable communication bandwidth challenge. Human-computer-interaction in this space must account for the multiple facets of human-in-the-loop considerations in IoT, yet current mechanisms are at present limited by display dimensions and unclear indicators. Mixed Reality (MR) may be a solution to this human communication bandwidth problem, as smart glasses and other head mounted displays could provide an ideal interface platform for IoT human-computer interaction, while handheld mobile MR can be used as a testbed. To bring MR interfaces to the IoT, this work contributes; i) a new IoT-Avatar architectural framework; ii) a bi-directional communication approach between an IoT system and a virtual avatar character representation; and iii) an early descriptive exploration of how such systems could be explored in future applications toward MR interfaces in ambient intelligent environments.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.004 | 0.002 |
| 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