The Influence of Line Length: A Pilot Study
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
The aim of this work is to understand the impact of typography on humans in terms of reading.Several tests were carried out to achieve the proposed objective of understanding the influence of different visual variables to ensure a more precise reading process.Four variables were studied using various sensors, such as the Brain Computer Interaction (BCI) device, to measure brain activity (active, neutral, and calm) and heart rate activity (HRA).The reading time and the number of errors were also considered.The results show that the visual variables have a different impact considering the type of text (scientific and children's text) as well as the reading medium (paper or screen).In addition, the results show that preferences vary according to the type of visual variables as predicted and as confirmed by the measurements taken during the reading process.However, oddly enough, the participants when questioned during the survey, their answers were not coincident by the measurement results.For this reason, this empirical study in interaction design is important as a future reference approach to the perceptibility and readability of text.On the other hand, the use of BCI and HRA parameters is not widely described in the literature.So, this paper allowed to perceive and identify the most adaptable typographic parameters both in the type of text and in the reading medium.
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