This article presents a theory of selective attention that is intended to account for the identification of a visual shape in a cluttered display. The selected area of attention is assumed to be controlled by a filter that operates on the location information in a display. The location information selected by the filter in turn determines the feature information that is to be identified. Changes in location of the selected area are assumed to be governed by a gradient of processing resources. Data from three new experiments are fit more parsimoniously by a gradient model than by a moving-spotlight model. The theory is applied to experiments in the recent literature concerned with precuing locations in the visual field, and to the issue of attentional and automatic processing in the identification of words. Finally, data from neuroanatomical experiments are reviewed to suggest ways that the theory might be realized in the primate brain. The identification of shapes and objects in the environment plays an important adaptive role in our daily, moment-to-moment activities. A typical visual scene contains many objects, but there is a limit on the number of objects that we can process at one time. This limitation implies that, at some stage or stages in the information flow through the system, the information arising from some objects must be momentarily excluded from processing. This exclusion from processing may occur by operations that either enhance the information from a target object, or by operations that suppress the information from the distractor objects, or by operations that do both. Described in this manner, exclusion from processing closely resembles what traditionally has been termed selective attention. The notion of selective attention gained a foothold in the mainstream of psychology in the late 1950s, particularly through the influence of Broadbent's (1958) filter theory and Guthrie's (1959) revision of his learning theory ("what is being noticed becomes the signal for what is being done"). Soon aRerward, a controversy arose concerning whether the selection process occurs early (Broadbent, 1958) or late (Deutsch & Deutsch, 1963; Norman, 1968) in the flow of information. The two contrasting views of the locus of selection can be seen in theoretical issues raised two decades later (for reviews, cf. Broadbent, 1982; Johnston & Dark, 1986; Kahneman & Treisman, 1984; Shiffrin, 1988). A strong form of the late-selection theories assumes that all objects in a visual display (falling on an effective area of the receptor surface) are identified and that the selection process chooses the identified object that will be processed fur-We thank E. G. Jones for his helpful comments concerning neuroanatomy, and we thank Ryozo Yoshino for his suggestions in mathematical matters. We also thank Marc Carter, Jan I.awry, and Dale McNulty for reading the manuscript and making valuable comments and criticisms.
The spatial extent of attention to visually presented letters and words was investigated using a probe technique. The primary task required subjects to categorize (a) five-letter words, or to categorize the middle letter of (b) five-letter words or (c) five-letter nonwords. The probe task required the subjects to respond when the digit 7 appeared in one of the five letter positions. Probe trials were inserted at the onset of letter and word processing in Experiment 1 and 500 msec after letter and word processing in Experiment 2. In both experiments, probe trials produced a V-shaped function of reaction times across probe positions for the letter-categorization task for word and nonword stimulus conditions. In contrast, a relatively flat reaction time function was found for the word-categorization tasks. An analysis of the data based on a quantitative model of attentional spotlight distributions suggests that the spotlight width in the letter tasks is one letter space, and the spotlight width in the word task is typically five spaces.
Positron emission tomographic scans were recorded from human subjects following an object-identification task, one version of which required attentional selection and the other version of which did not. In one experimental session, the attention-demanding displays were presented in the left visual field and the nonattention displays were presented in the right visual field. In a second session, the sides of the displays were reversed. Analysis of the scans indicated that, averaged across the 2 sessions, the pulvinar showed greater glucose uptake when it was contralateral to the display of the selective attention task than when it was contralateral to the display of the nonattention task. The pattern of the data indicated that the degree of the attention task effect on pulvinar glucose uptake may differ between the hemispheres. In view of known connections between the pulvinar and cortical areas that mediate object identification, the present finding suggests that the pulvinar operates interactively with these cortical structures when an identification process demands selective attention.
In Experiment 1, subjects responded with a buttonpress to a target letter 0 embedded in a pair of vertical lines. A flanker control method was used to constrain the location and size of the initial attentional focus. The target could appear in one of five locations within a particular horizontal range. There were five ranges, varying from 1.7 0 to 8.6 0 in visual angle. Reaction time measures to the target exhibited V-shaped curves, with the lowest reaction time corresponding to the location of the initial focus of attention. The slopes of the curves decreased monotonically with target ranges. Reaction time measures at the extreme locations ofthe five ranges showed no significant increase with eccentricity, indicating that the influence of retinal sensitivity is negligible in this identification task as compared with the influence of other, presumably attentional, processes. Experiment 2 indicated that within a given range the slopes of the reaction time curves are independent ofthe number oflocations probed. Additional evidence for the attentional range effect was given in Experiments 3 and 4, in which the tasks were detection of an asterisk both with and without flanking vertical lines and identification of the letter 0 with and without flanking lines. These results do not conform to predictions of a shifting focus theory of attention with the velocity of the focus assumed to be constant, or to the predictions of a gradient theory with total processing capacity assumed to be fixed.One way of indicating the involvement of attention in visual processing is to require a subject first to detect an object at one location in the visual field (e.g., a plus sign at the center) and then to detect a second object located at varying distances from the first object (e.g., Eriksen & Hoffman, 1973;Hoffman, 1975;LaBerge, 1983;Posner, Nissen, & Ogden, 1978). The subject's reaction times typically increase with distance between the first and second objects, and this increase has been regarded as a marker of attentional processing, barring possible confounding influences of retinal sensitivity.For example, in one study (LaBerge, 1983), subjects were instructed first to identify the center letter of a horizontal five-letter string and then, when a second string of characters replaced the first string, to identify a specific target located in one of the five positions in the second string. The reaction times for this double-identification task showed a characteristic V shape as a function of target location in the second string, with subjects responding most quickly to the center target.The attentional mechanism that gives rise to such a reaction-time curve may be characterized as a shifting focus or as a gradient of processing capacity. Following the assumptions of current versions of a shifting-focus theory (e.g., Bergen
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
334 Leonard St
Brooklyn, NY 11211
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.