Attention promotes accurate impression formation
Bibliographic record
Abstract
OBJECTIVE: An ability to form accurate impressions of others is vital for adaptive social behavior in humans. Here, we examined if attending to persons more is associated with greater accuracy in personality impressions. METHOD: We asked 42 observers (36 females; mean age = 21 years, age range = 18-28; expected power = 0.96) to form personality impressions of unacquainted individuals (i.e., targets) from video interviews while their attentional behavior was assessed using eye tracking. We examined whether (a) attending more to targets benefited accuracy, (b) attending to specific body parts (e.g., face vs. body) drove this association, and (c) targets' ease of personality readability modulated these effects. RESULTS: Paying more attention to a target was associated with forming more accurate personality impressions. Attention to the whole person contributed to this effect, with this association occurring independently of targets' ease of readability. CONCLUSIONS: These findings show that attending more to a person is associated with increased accuracy and thus suggest that attention promotes social adaption by supporting accurate social perception.
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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 | 0.006 |
| 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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".