The speed of attentional shift is similar for exogenous and endogenous cues within anti-cue tasks
Bibliographic record
Abstract
When navigating within complex environments such as a crowded street, our focus of attention often rapidly shifts between objects. Given that attention generally shifts faster when it is triggered involuntarily (e.g., with an exogenous cue near the target) than voluntarily (e.g., with an endogenous cue pointing to the relevant target), we could expect that ignoring an exogenous cue would be more difficult than ignoring an endogenous cue. The current study compared the speed at which attention can be shifted when using exogenous and endogenous cues when having to shift their attention to a location opposite to the cued location (anti-cue). On each trial, eight gabors were simultaneously presented for 600 msec uniformly distributed along an annulus centered on the fixation point and randomly rotated clockwise or counter-clockwise by 30 degrees after 300 msec. Participants were asked to report the motion direction of the cued gabor (pro-cue) or of a target on the opposite location of the cued gabor (anti-cue). The cue was either exogenous (a circle around one of the gabors) or endogenous (an arrow at fixation pointing to a gabor). The time required to shift attention to the target location was measured using a staircase procedure controlling the duration between the presentation of the cue and the occurrence of the motion (i.e., cue onset asynchrony, COA). In the pro-cue conditions, the COA was significantly lower with an exogenous cue than an endogenous cue, as expected. In the anti-cue conditions, the COA was globally significantly higher than pro-cue conditions, but no significant difference between the type of cue (exogenous vs endogenous) was observed. These results suggest that it is similarly demanding to attend to a target located at the opposite side of the cued location when the cue is exogenous or endogenous.
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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 | 0.001 | 0.009 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".