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29 sty 2020 · The question of serial versus parallel search has been extensively investigated by behavioural methods in cognitive psychology, but it is still highly controversial. In this article, we briefly review extant empirical methods and their results and then present and exemplify a new method for distinguishing between serial and parallel visual search.
4 lut 2021 · Several computational models of visual search have been proposed and well-validated, many based upon the original Sternberg (Citation 1966) serial self-terminating search model. This model proposes that, for many search tasks, search time is a linearly increasing function of the number of distractors (N), and this function doubles in slope in a ...
This paper describes Guided Search 6.0 (GS6), a revised model of visual search. When we encounter a scene, we can see something everywhere. However, we cannot recognize more than a few items at a time. Attention is used to select items so that their features can be “bound” into recognizable objects.
3 gru 2015 · We compared the serial Competitive Guided Search model with a parallel model in their ability to account for RT distributions and error rates from a large visual search data-set featuring three classical search tasks: 1) a spatial configuration search (2 vs. 5); 2) a feature-conjunction search; and 3) a unique feature search (Wolfe, Palmer ...
In this paper, we approach this dispute by numerically fitting a serial search model and a parallel search model to reaction time (RT) distributions from three visual search experiments (feature search, conjunction search, spatial configuration search).
It is found that serial search is required when (a) targets and distractors are mirror twins, and (b) when the search elements lack the Gestalt property of intrinsic orientation.
The finding that the facilitation of search for predictable target locations generalized to the subsequent phase of serial search leads to the conclusion that the learned across-trial biases in the pop-out feature search could persist during serial search.
