The dark side of the interface: examining the influence of different background modes on cognitive performance
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
With the pivotal role that dark mode plays in user interface design, its widespread adoption across various applications and operating systems is evident. This study aims to investigate the potential effects of different background modes (light and dark) using cognitive ability tests and collect demographic variables for analysis. A total of 173 participants from diverse geographic regions worldwide completed an online survey comprising cognitive tests. The experimental results demonstrate that cognitive scores were higher in light mode compared to dark mode. Additionally, younger adults performed significantly better than older adults in light mode, while participants with academic education scored higher than those without in dark mode. In both modes, men outperformed women. A majority of females prefer light mode, while a higher proportion of males feel comfortable with both modes. These findings address the gap in understanding the impact of dark mode, offering practical insights in inclusive design practices.
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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