Top-Down Attentional Guidance Based On Implicit Learning of Visual Covariation

@article{citeulike:1285263, abstract = {The visual environment is extremely rich and complex, producing information overload for the visual system. But the environment also embodies structure in the form of redundancies and regularities that may serve to reduce complexity. How do perceivers internalize this complex informational structure? We present new evidence of visual learning that illustrates how observers learn how objects and events covary in the visual world. This information serves to guide visual processes such as object recognition and search. Our first experiment demonstrates that search and object recognition are facilitated by learned associations (covariation) between novel visual shapes. Our second experiment shows that regularities in dynamic visual environments can also be learned to guide search behavior. In both experiments, learning occurred incidentally and the memory representations were implicit. These experiments show how top-down visual knowledge, acquired through implicit learning, constrains what to expect and guides where to attend and look.}, author = {Chun, Marvin M. and Jiang, Yuhong }, citeulike-article-id = {1285263}, doi = {10.1111/1467-9280.00168}, journal = {Psychological Science}, keywords = {attention, contextual\_cueing, implicit\_learning, memory, objects, vision}, number = {4}, pages = {360--365}, posted-at = {2007-05-09 14:52:24}, priority = {2}, title = {Top-Down Attentional Guidance Based On Implicit Learning of Visual Covariation}, url = {http://www.blackwell-synergy.com/doi/abs/10.1111/1467-9280.00168}, volume = {10}, year = {1999} }

TY - JOUR ID - citeulike:1285263 L3 - citeulike-article-id:1285263 TI - Top-Down Attentional Guidance Based On Implicit Learning of Visual Covariation JF - Psychological Science VL - 10 IS - 4 SP - 360 EP - 365 N2 - The visual environment is extremely rich and complex, producing information overload for the visual system. But the environment also embodies structure in the form of redundancies and regularities that may serve to reduce complexity. How do perceivers internalize this complex informational structure? We present new evidence of visual learning that illustrates how observers learn how objects and events covary in the visual world. This information serves to guide visual processes such as object recognition and search. Our first experiment demonstrates that search and object recognition are facilitated by learned associations (covariation) between novel visual shapes. Our second experiment shows that regularities in dynamic visual environments can also be learned to guide search behavior. In both experiments, learning occurred incidentally and the memory representations were implicit. These experiments show how top-down visual knowledge, acquired through implicit learning, constrains what to expect and guides where to attend and look. KW - attention KW - contextual_cueing KW - implicit_learning KW - memory KW - objects KW - vision AU - Chun, Marvin AU - Jiang, Yuhong PY - 1999/// UR - http://www.blackwell-synergy.com/doi/abs/10.1111/1467-9280.00168 ER -