Exploring Haptic Colour Identification Aids
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
Colour identification is an important component of perception, but people with Colour Vision Deficiency (CVD) have trouble with colour identification tasks. Haptic colour identification aids exist but are slow to learn. To address this, we developed two new colour identification aids - ColourWrist and ColourVest. Colour-Wrist is a wrist-based aid that maps any single RGB input to 16 unique colour category patterns displayed on the wrist using four solenoids and a vibration motor. ColourVest is a back-based aid that uses a back-mounted 10 x 8 2D vibrotactile array to notify the user of the general location of a user-selected colour category (of 16 possible choices). We compared both tools to a control condition with two participants with CVD, and show that participants found ColourWrist and ColourVest "intuitive" and "useful". Based on participants' feedback, we next plan improvements for ColourWrist and ColourVest, as well as plan to study how they perform in real-world applications.
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) | 0.031 | 0.016 |
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