Is banner blindness genuine? Eye tracking internet text advertising
Bibliographic record
Abstract
Abstract Over the last decade or so, the Internet has become a privileged media for advertisement. Despite this increase in popularity, several studies suggested that Internet users ‘avoid’ looking at ads (what is often referred to as the banner blindness phenomena). This conclusion, however, rests mostly on indirect evidence that participants do not remember the ad content. Therefore, it is unclear whether participants actually fixated the ads and how their gaze behaviour is related to memory for the ad. In the present study, we investigated whether Internet users avoid looking at ads inserted on a non‐search website using an analysis of eye movements, and if the ad content is kept in memory. Our results show that most participants fixate the ads at least once during their website visit. Moreover, even though the congruency between the ad and the editorial content had no effect on fixation duration on the ad, congruent ads were better memorised than incongruent ads. This study provides a novel and systematic method for assessing the processing and retention of advertisements during a website visit. Copyright © 2010 John Wiley & Sons, Ltd.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".