Search asymmetry: a diagnostic for preattentive processing of separable features.

The search rate for a target among distractors may vary dramatically depending on which stimulus plays the role of target and which that of distractors. For example, the time required to find a circle distinguished by an intersecting line is independent of the number of regular circles in the display, whereas the time to find a regular circle among circles with lines increases linearly with the number of distractors. The pattern of performance suggests parallel processing when the target has a unique distinguishing feature and serial self-terminating search when the target is distinguished only by the absence of a feature that is present in all the distractors. The results are consistent with feature-integration theory (Treisman & Gelade, 1980), which predicts that a single feature should be detected by the mere presence of activity in the relevant feature map, whereas tasks that require subjects to locate multiple instances of a feature demand focused attention. Search asymmetries may therefore offer a new diagnostic to identify the primitive features of early vision. Several candidate features are examined in this article: Colors, line ends or terminators, and closure (in the sense of a partly or wholly enclosed area) appear to be functional features; connectedness, intactness (absence of an intersecting line), and acute angles do not.

[1]  C W ERIKSEN,et al.  Object location in a complex perceptual field. , 1953, Journal of experimental psychology.

[2]  U. Neisser.  Decision-time without reaction-time: Experiments in visual scanning. , 1963 .

[3]  S. Sternberg.  High-Speed Scanning in Human Memory , 1966, Science.

[4]  J. Gibson.  The Senses Considered As Perceptual Systems , 1967 .

[5]  P. Rabbitt.  Learning to ignore irrelevant information. , 1967, The American journal of psychology.

[6]  J. Beck.  Perceptual grouping produced by line figures , 1967 .

[7]  I. Gordon.  Interactions between items in visual search. , 1968, Journal of experimental psychology.

[8]  D. Hubel,et al.  Receptive fields and functional architecture of monkey striate cortex , 1968, The Journal of physiology.

[9]  E. Gibson.  Principles of Perceptual Learning and Development , 1969 .

[10]  Robert Fox,et al.  Effects of noise similarity and redundancy on the information processed from brief visual displays , 1970 .

[11]  W. R. Garner,et al.  The Stimulus in Information Processing , 1970 .

[12]  Fred A. Masterson,et al.  Pattern redundancy and detection in very short-term memory , 1972 .

[13]  J. Beck.  Similarity Grouping of Curves , 1973, Perceptual and motor skills.

[14]  D. LaBerge.  Attention and the measurement of perceptual learning , 1973, Memory & cognition.

[15]  William K. Estes,et al.  Redundancy of noise elements and signals in visual detection of letters , 1974 .

[16]  W. R. Garner.  The Processing of Information and Structure , 1974 .

[17]  U. Frith.  Acurious effect with reversed letters explained by a theory of schema , 1974 .

[18]  B Julesz,et al.  Experiments in the visual perception of texture. , 1975, Scientific American.

[19]  E. Rosch.  Cognitive reference points , 1975, Cognitive Psychology.

[20]  Stuart Anstis,et al.  Chapter 9 – What Does Visual Perception Tell Us About Visual Coding? , 1975 .

[21]  Michael S. Gazzaniga,et al.  Handbook of psychobiology , 1975 .

[22]  S. Dornič,et al.  Attention and performance V , 1976 .

[23]  Walter Schneider,et al.  Controlled and Automatic Human Information Processing: 1. Detection, Search, and Attention. , 1977 .

[24]  Lawrence C. Sager,et al.  Perception of wholes and of their component parts: some configural superiority effects. , 1977, Journal of experimental psychology. Human perception and performance.

[25]  A. Tversky.  Features of Similarity , 1977 .

[26]  W. R. Garner,et al.  Selective attention to attributes and to stimuli. , 1978, Journal of experimental psychology. General.

[27]  John T. Richards,et al.  The effect of background familiarity in visual search: An analysis of underlying factors , 1978 .

[28]  A. Cowey.  Cortical Maps and Visual Perception the Grindley Memorial Lecture* , 1979, The Quarterly journal of experimental psychology.

[29]  A. Treisman,et al.  A feature-integration theory of attention , 1980, Cognitive Psychology.

[30]  Dana H. Ballard,et al.  Parameter Networks: Towards a Theory of Low-Level Vision , 1981, IJCAI.

[31]  Taniguchi Kōgyō Shōreikai,et al.  Brain mechanisms of sensation , 1981 .

[32]  B. Julesz.  Textons, the elements of texture perception, and their interactions , 1981, Nature.

[33]  A. Treisman,et al.  Illusory conjunctions in the perception of objects , 1982, Cognitive Psychology.

[34]  J. Beck.  Organization and representation in perception , 1982 .

[35]  A. Treisman.  Perceptual grouping and attention in visual search for features and for objects. , 1982, Journal of experimental psychology. Human perception and performance.

[36]  H. Barlow.  Vision: A computational investigation into the human representation and processing of visual information: David Marr. San Francisco: W. H. Freeman, 1982. pp. xvi + 397 , 1983 .

[37]  Gerald M. Edelman,et al.  Dynamic aspects of neocortical function , 1984 .

[38]  A. Treisman,et al.  Emergent features, attention, and object perception. , 1984, Journal of experimental psychology. Human perception and performance.

[39]  L. Kaufman,et al.  Handbook of perception and human performance , 1986 .