The roles of cortical image separation and size in active visual search performance.

Our previous research examined the effects of target eccentricity and global stimulus density on target detection during active visual search in monkey. Here, eye movement data collected from three human subjects on a standard single-color Ts and Ls task with varying set sizes were used to analyze the probability of target detection as a function of local stimulus density. Search performance was found to exhibit a systematic dependence on local stimulus density around the target and as a function of target eccentricity when density is calculated with respect to cortical space, in accordance with a model of the retinocortical geometrical transformation of image data onto the surface of V1. Density as measured by nearest neighbor separation and target image size as calculated from target eccentricity were found to contribute independently to search performance when measured with respect to cortical space but not with standard visual space. Density relationships to performance did not differ when target and nearest neighbor were on opposite sides of the vertical meridian, underscoring the hypothesis that such interactions were occurring within higher visual areas. The cortical separation of items appears to be the major determinant of array set size effects in active visual search.

[1]  Stefano Cappa,et al.  The integration of parallel and serial processing mechanisms in visual search: evidence from eye movement recording , 2001, The European journal of neuroscience.

[2]  F. L. Engel Visual conspicuity, visual search and fixation tendencies of the eye , 1977, Vision Research.

[3]  W. Geisler,et al.  Separation of low-level and high-level factors in complex tasks: visual search. , 1995, Psychological review.

[4]  J. Findlay,et al.  Eye guidance and visual search , 1998 .

[5]  Niall McLoughlin,et al.  Optical imaging of the retinotopic organization of V1 in the common marmoset , 2003, NeuroImage.

[6]  B. C. Motter,et al.  The zone of focal attention during active visual search , 1998, Vision Research.

[7]  G. Blasdel,et al.  Functional Retinotopy of Monkey Visual Cortex , 2001, The Journal of Neuroscience.

[8]  MARISA CARRASCO,et al.  Cortical Magnification Neutralizes the Eccentricity Effect in Visual Search , 1997, Vision Research.

[9]  J. Findlay,et al.  Saccade target selection in visual search: the effect of information from the previous fixation , 2001, Vision Research.

[10]  M. Carrasco,et al.  The eccentricity effect: Target eccentricity affects performance on conjunction searches , 1995, Perception & psychophysics.

[11]  J. Rovamo,et al.  Isotropy of cortical magnification and topography of striate cortex , 1984, Vision Research.

[12]  Eyal M. Reingold,et al.  Chapter 4 – Saccadic Selectivity During Visual Search: The Influence of Central Processing Difficulty , 2003 .

[13]  K. Nakayama,et al.  Stimulus discriminability in visual search , 1994, Vision Research.

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

[15]  Rajesh P. N. Rao,et al.  PSYCHOLOGICAL SCIENCE Research Article EYE MOVEMENTS REVEAL THE SPATIOTEMPORAL DYNAMICS OE VISUAL SEARCH , 2022 .

[16]  J. P. Thomas,et al.  A signal detection model predicts the effects of set size on visual search accuracy for feature, conjunction, triple conjunction, and disjunction displays , 2000, Perception & psychophysics.

[17]  S. Klein,et al.  Vernier acuity, crowding and cortical magnification , 1985, Vision Research.

[18]  M. Carrasco,et al.  Signal detection theory applied to three visual search tasks--identification, yes/no detection and localization. , 2004, Spatial vision.

[19]  D. Levi,et al.  The two-dimensional shape of spatial interaction zones in the parafovea , 1992, Vision Research.

[20]  J. Wolfe,et al.  Why are there eccentricity effects in visual search? Visual and attentional hypotheses , 1998, Perception & psychophysics.

[21]  J. Duncan,et al.  Visual search and stimulus similarity. , 1989, Psychological review.

[22]  Susan L. Franzel,et al.  Guided search: an alternative to the feature integration model for visual search. , 1989, Journal of experimental psychology. Human perception and performance.

[23]  H Strasburger,et al.  Cortical Magnification Theory Fails to Predict Visual Recognition , 1994, The European journal of neuroscience.

[24]  A. Treisman Features and Objects: The Fourteenth Bartlett Memorial Lecture , 1988, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[25]  Marisa Carrasco,et al.  Attention improves or impairs visual performance by enhancing spatial resolution , 1998, Nature.

[26]  Robert O. Duncan,et al.  Cortical Magnification within Human Primary Visual Cortex Correlates with Acuity Thresholds , 2003, Neuron.

[27]  H. BOUMA,et al.  Interaction Effects in Parafoveal Letter Recognition , 1970, Nature.

[28]  Preeti Verghese,et al.  The psychophysics of visual search , 2000, Vision Research.

[29]  D. Whitteridge,et al.  The representation of the visual field on the cerebral cortex in monkeys , 1961, The Journal of physiology.

[30]  Joel L. Davis,et al.  Visual attention and cortical circuits , 2001 .

[31]  H. Basford,et al.  Optimal eye movement strategies in visual search , 2005 .

[32]  Heiner Deubel,et al.  The mind's eye : cognitive and applied aspects of eye movement research , 2003 .

[33]  B. C. Motter,et al.  Cortical image density determines the probability of target discovery during active search , 2000, Vision Research.

[34]  D. Pelli,et al.  Crowding is unlike ordinary masking: distinguishing feature integration from detection. , 2004, Journal of vision.

[35]  B. C. Motter,et al.  The guidance of eye movements during active visual search , 1998, Vision Research.

[36]  I. Rentschler,et al.  Contrast thresholds for identification of numeric characters in direct and eccentric view , 1991, Perception & psychophysics.