Looks can be deceiving: Investigating change blindness in an online setting.
Bibliographic record
Abstract
= 134), participants engaged in an online video chat with a confederate, with two levels of visual clutter (none, a lot) and three levels of interaction (none, light conversations about weather/TV, deeper conversations about goals/greatest regrets). We found no modulation of change blindness rates across perceptual clutter. Curiously, we found a large discrepancy in change blindness rates in Experiment 1 (79%; 52/66) versus Experiment 2 (16%; 11/68) that we explored, leading to some evidence that increasing the level of interaction led to greater change blindness rates, but only for pairs who identified as belonging to different ethnicities. Taken together, our work suggests that we may pay attention to people differently in virtual settings compared to in-person, that in-group and out-group biases may have an effect on change blindness rates, and that while clutter does not seem to affect change blindness rates, one's level of interaction just might. (PsycInfo Database Record (c) 2024 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".