Stressing the feedback: attention and cardiac vagal tone during a cognitive stress task
Bibliographic record
Abstract
OBJECTIVES: The present study examined relationships among gaze behaviour and cardiac vagal tone using a novel stress-inducing task. METHODS: Participants' (N = 40) eye movements and heart rate variability (HRV) were measured during an unsolvable computer-based task randomly presenting feedback of "Right" and "Wrong" answers distinctly onscreen after each trial. Subgroups were created on the basis of more frequent eye movements to the right ("Correct"-Attenders; n = 23) or wrong ("Incorrect"-Attenders; n = 17) areas onscreen. RESULTS: Correct-Attenders maintained HRV from baseline to the stress task. In contrast, Incorrect-Attenders spent significantly more time viewing "Wrong" feedback, exhibited a reduction in HRV during the stress condition (p < .01), and were more likely to negatively self-evaluate performance. CONCLUSIONS: Results demonstrate that pervasive attention to negative feedback ("Wrong") elicits perseverative stress and negative self-evaluations among university students. This study highlights the potential for studying attentional biases and emotional distress through combined measures of gaze behaviour and cardiac vagal tone.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| 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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".