Re-examining attention capture at irrelevant (ignored?) locations.
Bibliographic record
Abstract
In 2018, Ruthruff and Gaspelin used a modified spatial cuing paradigm in which targets were presented at two locations while abrupt-onset cues could be presented at four locations. They found that performance following cues presented at irrelevant locations was no worse than following no cue or following a centrally presented cue. They concluded, as conveyed by the title of their article (Immunity to Attentional Capture at Ignored Locations) that a spatial attentional control setting had eliminated capture of attention. This conclusion was reached by comparing response time to targets on cue-absent versus irrelevant cues condition. We administered the exact same task in Experiment 1 and observed that responses on irrelevant trials were faster compared with cue absent trials providing support for the "immunity to attention capture claim" made by Ruthruff and Gaspelin (2018). However, cue absent trials may not be the most appropriate baseline condition as they lack the alerting benefit provided by cue-present trials. Thus, equivalent response times (RTs) on trials with absent cues and irrelevant cues observed in Ruthruff and Gaspelin (2018) could have been due to the lack of this alerting benefit. We tested this in Experiment 2 by additionally including a warning beep on every trial as an alerting signal. With this methodological change, we observed that responses were slower on irrelevant trials compared with the cue absent trials suggesting interference from cues at irrelevant locations. This study underscores the importance of using the appropriate baseline while testing attention capture. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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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) | 0.000 | 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 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".