title: Visual search for positional relationships between pattern elements.
abstract: The purpose of these experiments was to illustrate how a search for positional relationships between the elements in a stimulus pattern is effortful and serial, whereas a search for pattern elements (without requiring any positional information) takes place rapidly and in parallel. In all three experiments of this study, the target and distractor patterns consisted of two vertical line segments. In the experiment concerning the search for positional relationships between pattern elements, one of the line segments in a line pair had a gap, and the observer's task was to indicate whether the positional order of the two lines was identical in all the line pairs of the display, or whether the line segments were in a mirror-image order in one line pair (the target). In the two experiments concerning the search for pattern elements (no positional information was required), the observer's task was to look for a line pair with one gap line (the target) among line pairs containing two broken lines or among line pairs with unbroken lines. In all three tasks, the reaction time for a correct target detection was measured. The results showed that the search in the first task was highly serial, and in the second and third tasks of "feature" searches, the search time was nearly independent of the number of distractor pairs. It is suggested that this dissociation may be interpreted in the context of the quality of information processing in extrafoveal vision, i.e. the elements of a stimulus pattern can be clearly visible outside the fovca, but it is not possible to perceive accurately the positional relationships between them.
authors.affiliation: Department of Psychology, University of Helsinki, Finland.
authors.forename: J
authors.initials: J
authors.lastname: Saarinen
mesh_terms: D001288:Attention; D004193:Discrimination Learning; D006801:Humans; D009949:Orientation; D010364:Pattern Recognition, Visual; D011340:Problem Solving; D011601:Psychophysics; D012691:Serial Learning; D014794:Visual Fields