Colour Perception on Optical-See-Through Displays for Ubiquitous Visualization Applications
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
Optical-see-through (OST) displays afford users the ability to view information in augmented reality anywhere and anytime. However, the colours of the rendered content on OST displays, often used to encode information, may conflict with the current environment the user is situated in, leading to usability and perceptual challenges. In this Ph.D. thesis, I propose investigating how human perception of colours rendered on OST displays varies based on visual components of the user’s environment (colour, complexity, and lighting) to inform the design of ubiquitous visualization applications. Specifically, my work will study the effects of colour blending and contrast effects on interpretation performance, and model colour just-noticeable differences through psychophysical experiments. The resulting models will be used to design an automatic colour-adaptation approach for OST displays which preserves colour encodings and achieves adequate interpretability across dynamic viewing conditions. Taken together, my work will inform on perceptual challenges, and on the design of ubiquitous visualizations and colour encodings on OST displays.
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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