Embodied User Interfaces for Really Direct Manipulation
Bibliographic record
Abstract
esearch efforts exploring augmented reality: Hiroshi Ishii's Tangible Bits project at the MIT Media Lab [4], Jun Rekimoto's Augmented Reality project at Sony Research Labs [5], George Fitzmaurice's Graspable User Interface research at Alias|Wavefront and University of Toronto [2], as well as our own work [1, 3]. We also see this direction being pursued in the marketplace in portable computational "appliances," such as handheld devices (PDAs, most notably the Palm series of handhelds) and the recent wave of electronic books or e-books (for example, the SoftBook). Several features of these new devices are noteworthy: . The devices are portable and graspable: they must be held, touched, and carried to be used. . They are designed to best support a limited set of specific tasks. Embodied User Interfaces for Really Direct Manipulation Treating thi body of th h device as part of its user interface. Kenneth P. Fishkin, Anuj Gujar,
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.
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 | 0.000 | 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 | 0.001 |
| 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 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".