Electrophysiological correlates of inattentional deafness: \nno hearing without listening
Bibliographic record
Abstract
The analysis of airplane accidents reveals that pilots sometimes purely fail to notice yet critical auditory alerts. This inability of an auditory stimulus to reach consciousness has been recently coined under the term of inattentional deafness. Recent data from literature tend to show that tasks involving high perceptual load consume most of attentional capacity, leaving little for processing any taskirrelevant information. In addition, there is a growing body of evidence for a shared attentional capacity between vision and hearing. In this context, the numerous displays in cockpits are likely to produce inattentional deafness. A simplified piloting task was conceived, in which participants were required to make decisions based on complex visual indicators while continuous electroencephalographic(EEG) measurements were performed. During the task, a tone was played, either standard, which participants were told to ignore, or deviant (“the alarm”, probability = 0.10) which participants were told to report. Preliminary behavioural results showed that up to 30% of deviant sounds were not detected. The analysis of EEG showed that a drastic diminution of the auditory P300 amplitude was concomitant with the occurrence of the inattentional deafness phenomenon. Applications concern integrative online prevention of alarms omission, mental workload measurements and enhanced warning designs.
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How this classification was reachedexpand
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.000 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".