A Pilot Study to Assess Designer’s Mental Stress Using Eye Gaze System and Electroencephalogram
Why this work is in the frame
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Bibliographic record
Abstract
The study of mental stress is of great importance to design in that it enhances our understanding of designer’s cognitive model during the creative design process, among others. As the first step of this effort, this paper focuses on the assessment of mental stress based on the analysis of electroencephalogram (EEG) signals and the eye related data. The stress stimuli used is the computer based Stroop test with six difficulty levels. By using different parameters such as EEG power bands, and other eye behavior data, human mental stresses were assessed. Results indicate a strong correlation between the recorded physiological signals and the emotional state of the designers. This study provides a baseline for the further analysis of designer’s and users mental stresses during design-related tasks.
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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