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Spatial enhancement due to statistical learning tracks the estimated spatial probability
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Orientador(es)
Resumo(s)
It is well known that attentional selection is sensitive to the regularities presented in the display. In the current study we employed
the additional singleton paradigm and systematically manipulated the probability that the target would be presented in one
particular location within the display (probabilities of 30%, 40%, 50%, 60%, 70%, 80%, and 90%). The results showed the
higher the target probability, the larger the performance benefit for high- relative to low-probability locations both when a
distractor was present and when it was absent. We also showed that when the difference between high- and low-probability
conditions was relatively small (30%) participants were not able to learn the contingencies. The distractor presented at a highprobability target location caused more interference than when presented at a low-probability target location. Overall, the results
suggest that attentional biases are optimized to the regularities presented in the display tracking the experienced probabilities of
the locations that were most likely to contain a target. We argue that this effect is not strategic in nature nor the result of repetition
priming. Instead, we assume that through statistical learning the weights within the spatial priority map are adjusted optimally,
generating the efficient selection priorities.
Descrição
Palavras-chave
Attentional capture Target probability learning Statistical learning
Contexto Educativo
Citação
Zhang, Y., Yang, Y., Wang, B., & Theeuwes, J. (2022). Spatial enhancement due to statistical learning tracks the estimated spatial probability. Attention, Perception & Psychophysics, 84(4), 1077–1086. https://doi.org/10.3758/s13414-022-02489-0
Editora
Springer