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Visual and cognitive processes contribute to age-related improvements in visual selective attention.

Andrew LynnJohn MauleDima Amso
Published in: Child development (2023)
Children (N = 103, 4-9 years, 59 females, 84% White, c. 2019) completed visual processing, visual feature integration (color, luminance, motion), and visual search tasks. Contrast sensitivity and feature search improved with age similarly for luminance and color-defined targets. Incidental feature integration improved more with age for color-motion than luminance-motion. Individual differences in feature search ( β $$ \beta $$  = .11) and incidental feature integration ( β $$ \beta $$  = .06) mediated age-related changes in conjunction visual search, an index of visual selective attention. These findings suggest that visual selective attention is best conceptualized as a series of developmental trajectories, within an individual, that vary by an object's defining features. These data have implications for design of educational and interventional strategies intended to maximize attention for learning and memory.
Keyphrases
  • working memory
  • machine learning
  • deep learning
  • magnetic resonance
  • computed tomography
  • high resolution
  • big data