Situational visual impairments on mobile devices - modeling the effects of bright outdoor 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
Mobile device users frequently experience Situational Visual Impairments (SVIs) when viewing screen content in bright outdoor environments. Designers could help alleviate SVIs if they had design tools that illustrated the effects that bright outdoor environments have on screen content. However, the exact nature of the underlying factors that lead to bright environment SVIs is poorly understood. To address this, we build on previous work by exploring the effects of bright environmental lighting on display content visibility using in-lab studies. In particular, we measured the differentiability of achromatic colours under a variety of realistic screen content and environmental brightnesses. Surprisingly, we found that environmental brightness makes a significant but relatively small contribution to reducing screen content visibility, with screen content brightness having a larger effect. As such, we conclude that non-glare ambient light reflecting off a screen has little influence on the visibility of that screen’s content, and make recommendations for future research to help map the true factors underlying SVIs.
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