High-speed visual estimation using preattentive processing

A new method is presented for performing rapid and accurate numerical estimation. The method is derived from an area of human cognitive psychology called preattentive processing. Preattentive processing refers to an initial organization of the visual field based on cognitive operations believed to be rapid, automatic, and spatially parallel. Examples of visual features that can be detected in this way include hue, intensity, orientation, size, and motion. We beleive that studies from preattentive vision should be used to assist in the design of visualization tools, especially those for which high-speed target detection, boundary identification, and region detection are important. In our present study, we investigated two known preattentive features (hue and orientation) in the context of a new task (numerical estimation) in order to see whether preattentive estimation was possible. Our experiments tested displays that were designed to visualize data from salmon migration simulations. The results showed that rapid and accurate estimation was indeed possible using either hue or orientation. Furthermore, random variation in one of these features resulted in no interference when subjects estimated the percentage of the other. To test the generality of our results, we varied two important display parameters—display duration and feature difference—and found boundary conditions for each. Implications of our results for application to real-world data and tasks are discussed.

[1]  A. Treisman,et al.  Illusory words: the roles of attention and of top-down constraints in conjoining letters to form words. , 1986, Journal of experimental psychology. Human perception and performance.

[2]  J. Wolfe,et al.  The role of categorization in visual search for orientation. , 1992, Journal of experimental psychology. Human perception and performance.

[3]  P. Leblond,et al.  Computer Simulations of the Influence of Ocean Currents on Fraser River Sockeye Salmon (Oncorhynchus nerka) Return Times , 1994 .

[4]  David H. Laidlaw,et al.  The application visualization system: a computational environment for scientific visualization , 1989, IEEE Computer Graphics and Applications.

[5]  P. Leblond,et al.  The influence of ocean currents on latitude of landfall and migration speed of sockeye salmon returning to the Fraser River , 1992 .

[6]  James T. Enns,et al.  Real-Time Multivariate Data Visualization Using Preattentive Processing , 1994 .

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

[8]  Z. Pylyshyn,et al.  Why are small and large numbers enumerated differently? A limited-capacity preattentive stage in vision. , 1994, Psychological review.

[9]  R. D. Hurrion.  An interactive visual simulation system for industrial management , 1980 .

[10]  William L. Hibbard,et al.  The VIS-5D system for easy interactive visualization , 1990, Proceedings of the First IEEE Conference on Visualization: Visualization `90.

[11]  J. R. Pomerantz,et al.  Emergent features, attention, and perceptual glue in visual form perception. , 1989, Journal of experimental psychology. Human perception and performance.

[12]  B. Julesz,et al.  Human factors and behavioral science: Textons, the fundamental elements in preattentive vision and perception of textures , 1983, The Bell System Technical Journal.

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

[14]  T. Callaghan.  Dimensional interaction of hue and brightness in preattentive field segregation , 1984, Perception & psychophysics.

[15]  J. Wolfe,et al.  Guided Search 2.0 A revised model of visual search , 1994, Psychonomic bulletin & review.

[16]  W. J. Ingraham,et al.  Tuning of the OSCURS numerical model to ocean surface current measurements in the Gulf of Alaska , 1989 .

[17]  G W Humphreys,et al.  Visual search for targets defined by combinations of color, shape, and size: An examination of the task constraints on feature and conjunction searches , 1987, Perception & psychophysics.

[18]  A Treisman,et al.  Feature analysis in early vision: evidence from search asymmetries. , 1988, Psychological review.

[19]  Thomas A. DeFanti,et al.  Visualization in Scientific Computing-A Synopsis , 1987, IEEE Computer Graphics and Applications.

[20]  Lawrence J. Rosenblum,et al.  Research issues in scientific visualization , 1994, IEEE Computer Graphics and Applications.

[21]  Ken Nakayama,et al.  Serial and parallel processing of visual feature conjunctions , 1986, Nature.

[22]  A. M. Triesman,et al.  Preattentive processing in vision , 1985 .

[23]  A L Nagy,et al.  Visual search for color differences with foveal and peripheral vision. , 1990, Journal of the Optical Society of America. A, Optics and image science.

[24]  Z. Pylyshyn,et al.  Why are small and large numbers enumerated differently? A limited-capacity preattentive stage in vision. , 1994, Psychological review.

[25]  C Ware,et al.  Using Color Dimensions to Display Data Dimensions , 1988, Human factors.

[26]  Georges G. Grinstein,et al.  Iconographic Displays For Visualizing Multidimensional Data , 1988, Proceedings of the 1988 IEEE International Conference on Systems, Man, and Cybernetics.

[27]  Susan L. Franzel,et al.  Binocularity and visual search , 1988, Perception & psychophysics.

[28]  Edward R. Tufte,et al.  Envisioning Information , 1990 .

[29]  James T. Enns,et al.  Visualizing real-time multivariate data using preattentive processing , 1995, TOMC.

[30]  Ronald A. Rensink,et al.  VSearch Color: Full-color visual search experiments on the Macintosh II , 1991, Behavior Research Methods, Instruments, & Computers.

[31]  Georges G. Grinstein,et al.  Exvis: an exploratory visualization environment , 1989 .

[32]  Michael D'Zmura,et al.  Color in visual search , 1991, Vision Research.

[33]  T. Callaghan.  Interference and dominance in texture segregation: Hue, geometric form, and line orientation , 1989, Perception & psychophysics.

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

[35]  W. J. Ingraham,et al.  Ocean Surface Current Simulations in the North Pacific Ocean and the Bering Sea (OSCURS--Numerical model) , 1988 .

[36]  Robert M. O'Keefe,et al.  Visual Interactive Simulation — History, recent developments, and major issues , 1987, Simul..

[37]  James T. Enns,et al.  Three-dimensional features that pop out in visual search. , 1990 .