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How understanding a scene's meaning guides attention during natural visual search
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Abstract
Meaning accounted for 58% and 63% of the variance in attention during object search tasks in real-world scenes.
- Meaning maps represented the spatial distribution of semantic informativeness in scenes.
- Salience maps represented the spatial distribution of conspicuous image features.
- Meaning explained significantly greater variance in fixation densities than image salience.
- Fast initial eye movements were not more likely to target higher salience regions compared to slower movements.
- Initial eye movements of all latencies were directed toward areas with higher meaning than salience.
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