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Attention and Visual Memory in Visualization and Computer Graphics
July 2012 (vol. 18 no. 7)
pp. 1170-1188
C. G. Healey, Dept. of Comput. Sci., North Carolina State Univ., Raleigh, NC, USA
J. T. Enns, Dept. of Psychol., Univ. of British Columbia, Vancouver, BC, Canada
A fundamental goal of visualization is to produce images of data that support visual analysis, exploration, and discovery of novel insights. An important consideration during visualization design is the role of human visual perception. How we "see” details in an image can directly impact a viewer's efficiency and effectiveness. This paper surveys research on attention and visual perception, with a specific focus on results that have direct relevance to visualization and visual analytics. We discuss theories of low-level visual perception, then show how these findings form a foundation for more recent work on visual memory and visual attention. We conclude with a brief overview of how knowledge of visual attention and visual memory is being applied in visualization and graphics. We also discuss how challenges in visualization are motivating research in psychophysics.

[1] C. Ware, Information Visualization: Perception for Design, second ed. Morgan Kaufmann Publishers, Inc., 2004.
[2] B.H. McCormick, T.A. DeFanti, and M.D. Brown, “Visualization in Scientific Computing,” Computer Graphics, vol. 21, no. 6, pp. 1-14, 1987.
[3] J.J. Thomas and K.A. Cook, Illuminating the Path: Research and Development Agenda for Visual Analytics. IEEE Press, 2005.
[4] A. Yarbus, Eye Movements and Vision. Plenum Press, 1967.
[5] D. Norton and L. Stark, “Scan Paths in Saccadic Eye Movements while Viewing and Recognizing Patterns,” Vision Research, vol. 11, pp. 929-942, 1971.
[6] L. Itti and C. Koch, “Computational Modeling of Visual Attention,” Nature Rev.: Neuroscience, vol. 2, no. 3, pp. 194-203, 2001.
[7] E. Birmingham, W.F. Bischof, and A. Kingstone, “Saliency Does Not Account for Fixations to Eyes within Social Scenes,” Vision Research, vol. 49, no. 24, pp. 2992-3000, 2009.
[8] D.E. Broadbent, Perception and Communication. Oxford Univ. Press, 1958.
[9] H. von Helmholtz, Handbook of Physiological Optics, third ed. Dover Publications, 1962.
[10] A. Treisman, “Monitoring and Storage of Irrelevant Messages in Selective Attention,” J. Verbal Learning and Verbal Behavior, vol. 3, no. 6, pp. 449-459, 1964.
[11] J. Duncan, “The Locus of Interference in the Perception of Simultaneous Stimuli,” Psychological Rev., vol. 87, no. 3, pp. 272-300, 1980.
[12] J.E. Hoffman, “A Two-Stage Model of Visual Search,” Perception & Psychophysics, vol. 25, no. 4, pp. 319-327, 1979.
[13] U. Neisser, Cognitive Psychology. Appleton-Century-Crofts, 1967.
[14] E.J. Gibson, Principles of Perceptual Learning and Development. Prentice-Hall, Inc., 1980.
[15] D. Kahneman, Attention and Effort. Prentice-Hall, Inc., 1973.
[16] B. Julész and J.R. Bergen, “Textons, the Fundamental Elements in Preattentive Vision and Perception of Textures,” The Bell System Technical J., vol. 62, no. 6, pp. 1619-1645, 1983.
[17] D. Sagi and B. Julész, “Detection versus Discrimination of Visual Orientation,” Perception, vol. 14, pp. 619-628, 1985.
[18] J.M. Wolfe, S.R. Friedman-Hill, M.I. Stewart, and K.M. O'Connell, “The Role of Categorization in Visual Search for Orientation,” J. Experimental Psychology: Human Perception and Performance, vol. 18, no. 1, pp. 34-49, 1992.
[19] C. Weigle, W.G. Emigh, G. Liu, R.M. Taylor, J.T. Enns, and C.G. Healey, “Oriented Texture Slivers: A Technique for Local Value Estimation of Multiple Scalar Fields,” Proc. Graphics Interface, pp. 163-170, 2000.
[20] D. Sagi and B. Julész, “The “Where” and “What” in Vision,” Science, vol. 228, pp. 1217-1219, 1985.
[21] A. Treisman and S. Gormican, “Feature Analysis in Early Vision: Evidence from Search Asymmetries,” Psychological Rev., vol. 95, no. 1, pp. 15-48, 1988.
[22] A. Treisman and G. Gelade, “A Feature-Integration Theory of Attention,” Cognitive Psychology, vol. 12, pp. 97-136, 1980.
[23] C.G. Healey and J.T. Enns, “Large Data Sets at a Glance: Combining Textures and Colors in Scientific Visualization,” IEEE Trans. Visualization and Computer Graphics, vol. 5, no. 2, pp. 145-167, Apr.-June 1999.
[24] C.G. Healey, K.S. Booth, and J.T. Enns, “Harnessing Preattentive Processes for Multivariate Data Visualization,” Proc. Graphics Interface '93, pp. 107-117, 1993.
[25] L. Trick and Z. Pylyshyn, “Why Are Small and Large Numbers Enumerated Differently? A Limited Capacity Preattentive Stage in Vision,” Psychology Rev., vol. 101, pp. 80-102, 1994.
[26] A.L. Nagy and R.R. Sanchez, “Critical Color Differences Determined with a Visual Search Task,” J. Optical Soc. of Am., vol. 7, no. 7, pp. 1209-1217, 1990.
[27] M. D'Zmura, “Color in Visual Search,” Vision Research, vol. 31, no. 6, pp. 951-966, 1991.
[28] M. Kawai, K. Uchikawa, and H. Ujike, “Influence of Color Category on Visual Search,” Proc. Ann. Meeting of the Assoc. for Research in Vision and Ophthalmology, p. #2991, 1995.
[29] B. Bauer, P. Jolicoeur, and W.B. Cowan, “Visual Search for Colour Targets that Are or Are Not Linearly-Separable from Distractors,” Vision Research, vol. 36, pp. 1439-1446, 1996.
[30] J. Beck, K. Prazdny, and A. Rosenfeld, “A Theory of Textural Segmentation,” Human and Machine Vision, J. Beck, K. Prazdny, and A. Rosenfeld, eds., Academic Press, pp. 1-39, Academic Press, 1983.
[31] J.M. Wolfe and S.L. Franzel, “Binocularity and Visual Search,” Perception & Psychophysics, vol. 44, pp. 81-93, 1988.
[32] J.T. Enns and R.A. Rensink, “Influence of Scene-Based Properties on Visual Search,” Science, vol. 247, pp. 721-723, 1990.
[33] K. Nakayama and G.H. Silverman, “Serial and Parallel Processing of Visual Feature Conjunctions,” Nature, vol. 320, pp. 264-265, 1986.
[34] J.W. Gebhard, G.H. Mowbray, and C.L. Byham, “Difference Lumens for Photic Intermittence,” Quarterly J. Experimental Psychology, vol. 7, pp. 49-55, 1955.
[35] G.H. Mowbray and J.W. Gebhard, “Differential Sensitivity of the Eye to Intermittent White Light,” Science, vol. 121, pp. 137-175, 1955.
[36] J.L. Brown, “Flicker and Intermittent Stimulation,” Vision and Visual Perception, C.H. Graham, ed., pp. 251-320, John Wiley & Sons, Inc., 1965.
[37] B. Julész, Foundations of Cyclopean Perception. Univ. of Chicago Press, 1971.
[38] D.E. Huber and C.G. Healey, “Visualizing Data with Motion,” Proc. 16th IEEE Visualization Conf. (Vis '05), pp. 527-534, 2005.
[39] J. Driver, P. McLeod, and Z. Dienes, “Motion Coherence and Conjunction Search: Implications for Guided Search Theory,” Perception & Psychophysics, vol. 51, no. 1, pp. 79-85, 1992.
[40] P.D. Tynan and R. Sekuler, “Motion Processing in Peripheral Vision: Reaction Time and Perceived Velocity,” Vision Research, vol. 22, no. 1, pp. 61-68, 1982.
[41] J. Hohnsbein and S. Mateeff, “The Time It Takes to Detect Changes in Speed and Direction of Visual Motion,” Vision Research, vol. 38, no. 17, pp. 2569-2573, 1998.
[42] J.T. Enns and R.A. Rensink, “Sensitivity to Three-Dimensional Orientation in Visual Search,” Psychology Science, vol. 1, no. 5, pp. 323-326, 1990.
[43] Y. Ostrovsky, P. Cavanagh, and P. Sinha, “Perceiving Illumination Inconsistencies in Scenes,” Perception, vol. 34, no. 11, pp. 1301-1314, 2005.
[44] M.I. Posner and S.E. Petersen, “The Attention System of the Human Brain,” Ann. Rev. of Neuroscience, vol. 13, pp. 25-42, 1990.
[45] A. Treisman, “Search, Similarity, and Integration of Features between and within Dimensions,” J. Experimental Psychology: Human Perception and Performance, vol. 17, no. 3, pp. 652-676, 1991.
[46] A. Treisman and J. Souther, “Illusory Words: The Roles of Attention and Top-Down Constraints in Conjoining Letters to form Words,” J. Experimental Psychology: Human Perception and Performance, vol. 14, pp. 107-141, 1986.
[47] A. Treisman, “Preattentive Processing in Vision,” Computer Vision, Graphics and Image Processing, vol. 31, pp. 156-177, 1985.
[48] J.M. Wolfe, K.R. Cave, and S.L. Franzel, “Guided Search: An Alternative to the Feature Integration Model for Visual Search,” J. Experimental Psychology: Human Perception and Performance, vol. 15, no. 3, pp. 419-433, 1989.
[49] B. Julész, “A Theory of Preattentive Texture Discrimination Based on First-Order Statistics of Textons,” Biological Cybernetics, vol. 41, pp. 131-138, 1981.
[50] B. Julész, “Experiments in the Visual Perception of Texture,” Scientific Am., vol. 232, pp. 34-43, 1975.
[51] B. Julész, “Textons, the Elements of Texture Perception, and Their Interactions,” Nature, vol. 290, pp. 91-97, 1981.
[52] B. Julész, “A Brief Outline of the Texton Theory of Human Vision,” Trends in Neuroscience, vol. 7, no. 2, pp. 41-45, 1984.
[53] P.T. Quinlan and G.W. Humphreys, “Visual Search for Targets Defined by Combinations of Color, Shape, and Size: An Examination of Task Constraints on Feature and Conjunction Searches,” Perception & Psychophysics, vol. 41, no. 5, pp. 455-472, 1987.
[54] J. Duncan, “Boundary Conditions on Parallel Search in Human Vision,” Perception, vol. 18, pp. 457-469, 1989.
[55] J. Duncan and G.W. Humphreys, “Visual Search and Stimulus Similarity,” Psychological Rev., vol. 96, no. 3, pp. 433-458, 1989.
[56] H.J. Müller, G.W. Humphreys, P.T. Quinlan, and M.J. Riddoch, “Combined-Feature Coding in the Form Domain,” Visual Search, D. Brogan, ed., pp. 47-55, Taylor & Francis, 1990.
[57] Z.J. He and K. Nakayama, “Visual Attention to Surfaces in Three-Dimensional Space,” Proc. Nat'l Academy of Sciences, vol. 92, no. 24, pp. 11155-11159, 1995.
[58] K. O'Craven, P. Downing, and N. Kanwisher, “fMRI Evidence for Objects as the Units of Attentional Selection,” Nature, vol. 401, no. 6753, pp. 548-587, 1999.
[59] M.P. Eckstein, J.P. Thomas, J. Palmer, and S.S. Shimozaki, “A Signal Detection Model Predicts the Effects of Set Size on Visual Search Accuracy for Feature, Conjunction, Triple Conjunction, and Disjunction Displays,” Perception & Psychophysics, vol. 62, no. 3, pp. 425-451, 2000.
[60] J.T. Townsend, “Serial versus Parallel Processing: Sometimes they Look Like Tweedledum and Tweedledee but They Can (and Should) Be Distinguished,” Psychological Science, vol. 1, no. 1, pp. 46-54, 1990.
[61] J.M. Wolfe, “Guided Search 2.0: A Revised Model of Visual Search,” Psychonomic Bull. and Rev., vol. 1, no. 2, pp. 202-238, 1994.
[62] J.M. Wolfe and K.R. Cave, “Deploying Visual Attention: The Guided Search Model,” AI and the Eye, T. Troscianko and A. Blake, eds., pp. 79-103, John Wiley & Sons, Inc., 1989.
[63] J.M. Wolfe, K.P. Yu, M.I. Stewart, A.D. Shorter, S.R. Friedman-Hill, and K.R. Cave, “Limitations on the Parallel Guidance of Visual Search: Color $\times$ Color and Orientation $\times$ Orientation Conjunctions,” J. Experimental Psychology: Human Perception and Performance, vol. 16, no. 4, pp. 879-892, 1990.
[64] L. Huang and H. Pashler, “A boolean Map Theory of Visual Attention,” Psychological Rev., vol. 114, no. 3, pp. 599-631, 2007.
[65] L. Huang, A. Treisman, and H. Pashler, “Characterizing the Limits of Human Visual Awareness,” Science, vol. 317, pp. 823-825, 2007.
[66] D. Ariely, “Seeing Sets: Representation by Statistical Properties,” Psychological Science, vol. 12, no. 2, pp. 157-162, 2001.
[67] L. Parkes, J. Lund, A. Angelucci, J.A. Solomon, and M. Mogan, “Compulsory Averaging of Crowded Orientation Signals in Human Vision,” Nature Neuroscience, vol. 4, no. 7, pp. 739-744, 2001.
[68] S.C. Chong and A. Treisman, “Statistical Processing: Computing the Average Size in Perceptual Groups,” Vision Research, vol. 45, no. 7, pp. 891-900, 2005.
[69] J. Haberman and D. Whitney, “Seeing the Mean: Ensemble Coding for Sets of Faces,” J. Experimental Psychology: Human Perception and Performance, vol. 35, no. 3, pp. 718-734, 2009.
[70] S.C. Chong and A. Treisman, “Representation of Statistical Properties,” Vision Research, vol. 43, no. 4, pp. 393-404, 2003.
[71] C.G. Healey, K.S. Booth, and J.T. Enns, “Real-Time Multivariate Data Visualization Using Preattentive Processing,” ACM Trans. Modeling and Computer Simulation, vol. 5, no. 3, pp. 190-221, 1995.
[72] T.C. Callaghan, “Interference and Dominance in Texture Segregation,” Visual Search, D. Brogan, ed., pp. 81-87, Taylor & Francis, 1990.
[73] T.C. Callaghan, “Dimensional Interaction of Hue and Brightness in Preattentive Field Segregation,” Perception & Psychophysics, vol. 36, no. 1, pp. 25-34, 1984.
[74] T.C. Callaghan, “Interference and Domination in Texture Segregation: Hue, Geometric Form, and Line Orientation,” Perception & Psychophysics, vol. 46, no. 4, pp. 299-311, 1989.
[75] R.J. Snowden, “Texture Segregation and Visual Search: A Comparison of the Effects of Random Variations along Irrelevant Dimensions,” J. Experimental Psychology: Human Perception and Performance, vol. 24, no. 5, pp. 1354-1367, 1998.
[76] F.A.A. Kingdom, “Lightness, Brightness and Transparency: A Quarter Century of New Ideas, Captivating Demonstrations and Unrelenting Controversy,” Vision Research, vol. 51, no. 7, pp. 652-673, 2011.
[77] T.V. Papathomas, A. Gorea, and B. Julész, “Two Carriers for Motion Perception: Color and Luminance,” Vision Research, vol. 31, no. 1, pp. 1883-1891, 1991.
[78] T.V. Papathomas, I. Kovacs, A. Gorea, and B. Julész, “A Unifed Approach to the Perception of Motion, Stereo, and Static Flow Patterns,” Behavior Research Methods, Instruments, and Computers, vol. 27, no. 4, pp. 419-432, 1995.
[79] J. Pomerantz and E.A. Pristach, “Emergent Features, Attention, and Perceptual Glue in Visual Form Perception,” J. Experimental Psychology: Human Perception and Performance, vol. 15, no. 4, pp. 635-649, 1989.
[80] J.M. Wolfe, N. Klempen, and K. Dahlen, “Post Attentive Vision,” J. Experimental Psychology: Human Perception and Performance, vol. 26, no. 2, pp. 693-716, 2000.
[81] E. Birmingham, W.F. Bischof, and A. Kingstone, “Get Real! Resolving the Debate about Equivalent Social Stimuli,” Visual Cognition, vol. 17, nos. 6/7, pp. 904-924, 2009.
[82] K. Rayner and M.S. Castelhano, “Eye Movements,” Scholarpedia, vol. 2, no. 10, p. 3649, 2007.
[83] J.M. Henderson and M.S. Castelhano, “Eye Movements and Visual Memory for Scenes,” Cognitive Processes in Eye Guidance, G. Underwood, ed., pp. 213-235, Oxford Univ. Press, 2005.
[84] J.M. Henderson and F. Ferreira, “Scene Perception for Psycholinguistics,” The Interface of Language, Vision and Action: Eye Movements and the Visual World, J. M. Henderson and F. Ferreira, eds., pp. 1-58, Psychology Press, 2004.
[85] M.F. Land, N. Mennie, and J. Rusted, “The Roles of Vision and Eye Movements in the Control of Activities of Daily Living,” Perception, vol. 28, no. 11, pp. 1311-1328, 1999.
[86] N.J. Wade and B.W. Tatler, The Moving Tablet of the Eye: The Origins of Modern Eye Movement Research. Oxford Univ. Press, 2005.
[87] D. Norton and L. Stark, “Scan Paths in Eye Movements during Pattern Perception,” Science, vol. 171, pp. 308-311, 1971.
[88] L. Stark and S.R. Ellis, “Scanpaths Revisited: Cognitive Models Direct Active Looking,” Eye Movements: Cognition and Visual Perception, D.E. Fisher, R.A. Monty, and J.W. Senders, eds., pp. 193-226, Lawrence Erlbaum and Assoc., 1981.
[89] W.H. Zangemeister, K. Sherman, and L. Stark, “Evidence for a Global Scanpath Strategy in Viewing Abstract Compared with Realistic Images,” Neuropsychologia, vol. 33, no. 8, pp. 1009-1024, 1995.
[90] K. Rayner, “Eye Movements in Reading and Information Processing: 20 Years of Research,” Psychological Bull., vol. 85, pp. 618-660, 1998.
[91] J. Grimes, “On the Failure to Detect Changes in Scenes across Saccades,” Vancouver Studies in Cognitive Science: Vol. 5. Perception, K. Akins, ed., pp. 89-110, Oxford Univ. Press, 1996.
[92] M.M. Chun and Y. Jiang, “Contextual Cueing: Implicit Learning and Memory of Visual Context Guides Spatial Attention,” Cognitive Psychology, vol. 36, no. 1, pp. 28-71, 1998.
[93] M.M. Chun, “Contextual Cueing of Visual Attention,” Trends in Cognitive Science, vol. 4, no. 5, pp. 170-178, 2000.
[94] M.I. Posner and Y. Cohen, “Components of Visual Orienting,” Attention and Performance X, H. Bouma and D. Bouwhuis, eds., pp. 531-556, Lawrence Erlbaum and Assoc., 1984.
[95] R.M. Klein, “Inhibition of Return,” Trends in Cognitive Science, vol. 4, no. 4, pp. 138-147, 2000.
[96] J.T. Enns and A. Lleras, “What's Next? New Evidence for Prediction in Human Vision,” Trends in Cognitive Science, vol. 12, no. 9, pp. 327-333, 2008.
[97] A. Lleras, R.A. Rensink, and J.T. Enns, “Rapid Resumption of an Interrupted Search: New Insights on Interactions of Vision and Memory,” Psychological Science, vol. 16, no. 9, pp. 684-688, 2005.
[98] A. Lleras, R.A. Rensink, and J.T. Enns, “Consequences of Display Changes during Interrupted Visual Search: Rapid Resumption Is Target-Specific,” Perception & Psychophysics, vol. 69, pp. 980-993, 2007.
[99] J.A. Jungé, T.F. Brady, and M.M. Chun, “The Contents of Perceptual Hypotheses: Evidence from Rapid Resumption of Interrupted Visual Search,” Attention, Perception and Psychophysics, vol. 71, no. 4, pp. 681-689, 2009.
[100] H.E. Egeth and S. Yantis, “Visual Attention: Control, Representation, and Time Course,” Ann. Rev. of Psychology, vol. 48, pp. 269-297, 1997.
[101] A. Mack and I. Rock, Inattentional Blindness. MIT Press, 2000.
[102] R.A. Rensink, “Seeing, Sensing, and Scrutinizing,” Vision Research, vol. 40, nos. 10-12, pp. 1469-1487, 2000.
[103] D.J. Simons, “Current Approaches to Change Blindness,” Visual Cognition, vol. 7, nos. 1-3, pp. 1-15, 2000.
[104] R.A. Rensink, J.K. O'Regan, and J.J. Clark, “To See or Not to See: The Need for Attention to Perceive Changes in Scenes,” Psychological Science, vol. 8, pp. 368-373, 1997.
[105] D.T. Levin and D.J. Simons, “Failure to Detect Changes to Attended Objects in Motion Pictures,” Psychonomic Bull. and Rev., vol. 4, no. 4, pp. 501-506, 1997.
[106] D.J. Simons, “In Sight, Out of Mind: When Object Representations Fail,” Psychological Science, vol. 7, no. 5, pp. 301-305, 1996.
[107] D.J. Simons and R.A. Rensink, “Change Blindness: Past, Present, and Future,” Trends in Cognitive Science, vol. 9, no. 1, pp. 16-20, 2005.
[108] J. Triesch, D.H. Ballard, M.M. Hayhoe, and B.T. Sullivan, “What You See Is What You Need,” J. Vision, vol. 3, no. 1, pp. 86-94, 2003.
[109] M.E. Wheeler and A.E. Treisman, “Binding in Short-Term Visual Memory,” J. Experimental Psychology: General, vol. 131, no. 1, pp. 48-64, 2002.
[110] P.U. Tse, D.L. Shienberg, and N.K. Logothetis, “Attentional Enhancement Opposite a Peripheral Flash Revealed Using Change Blindness,” Psychological Science, vol. 14, no. 2, pp. 91-99, 2003.
[111] D.J. Simons and C.F. Chabris, “Gorillas in Our Midst: Sustained Inattentional Blindness for Dynamic Events,” Perception, vol. 28, no. 9, pp. 1059-1074, 1999.
[112] U. Neisser, “The Control of Information Pickup in Selective Looking,” Perception and Its Development: A Tribute to Eleanor J. Gibson, A.D. Pick, ed., pp. 201-219, Lawrence Erlbaum and Assoc., 1979.
[113] D.E. Broadbent and M.H.P. Broadbent, “From Detection to Identification: Response to Multiple Targets in Rapid Serial Visual Presentation,” Perception and Psychophysics, vol. 42, no. 4, pp. 105-113, 1987.
[114] J.E. Raymond, K.L. Shapiro, and K.M. Arnell, “Temporary Suppression of Visual Processing in an RSVP Task: An Attentional Blink?,” J. Experimental Psychology: Human Perception and Performance, vol. 18, no. 3, pp. 849-860, 1992.
[115] W.F. Visser, T.A.W. Bischof, and V. DiLollo, “Attentional Switching in Spatial and Nonspatial Domains: Evidence from the Attentional Blink,” Psychological Bull., vol. 125, pp. 458-469, 1999.
[116] J. Duncan, R. Ward, and K. Shapiro, “Direct Measurement of Attentional Dwell Time in Human Vision,” Nature, vol. 369, pp. 313-315, 1994.
[117] G. Liu, C.G. Healey, and J.T. Enns, “Target Detection and Localization in Visual Search: A Dual Systems Perspective,” Perception and Psychophysics, vol. 65, no. 5, pp. 678-694, 2003.
[118] C. Ware, “Color Sequences for Univariate Maps: Theory, Experiments, and Principles,” IEEE Computer Graphics and Applications, vol. 8, no. 5, pp. 41-49, Sept. 1988.
[119] C.G. Healey, “Choosing Effective Colours for Data Visualization,” Proc. Seventh IEEE Visualization Conf. (Vis '96), pp. 263-270, 1996.
[120] G.R. Kuhn, M.M. Oliveira, and L.A.F. Fernandes, “An Efficient Naturalness-Preserving Image-Recoloring Method for Dichromats,” IEEE Trans. Visualization and Computer Graphics, vol. 14, no. 6, pp. 1747-1754, Nov./Dec. 2008.
[121] C. Ware and W. Knight, “Using Visual Texture for Information Display,” ACM Trans. Graphics, vol. 14, no. 1, pp. 3-20, 1995.
[122] C.G. Healey and J.T. Enns, “Building Perceptual Textures to Visualize Multidimensional Data Sets,” Proc. Ninth IEEE Visualization Conf. (Vis '98), pp. 111-118, 1998.
[123] V. Interrante, “Harnessing Natural Textures for Multivariate Visualization,” IEEE Computer Graphics and Applications, vol. 20, no. 6, pp. 6-11, Nov./Dec. 2000.
[124] L. Bartram, C. Ware, and T. Calvert, “Filtering and Integrating Visual Information with Motion,” Information Visualization, vol. 1, no. 1, pp. 66-79, 2002.
[125] S.J. Daly, “Visible Differences Predictor: An Algorithm for the Assessment of Image Fidelity,” Human Vision, Visual Processing, and Digital Display III, vol. 1666, pp. 2-15, SPIE, 1992.
[126] J.M. Wolfe, M.L.-H. Võ, K.K. Evans, and M.R. Greene, “Visual Search in Scenes Involves Selective and Nonselective Pathways,” Trends in Cognitive Science, vol. 15, no. 2, pp. 77-84, 2011.
[127] H. Yee, S. Pattanaik, and D.P. Greenberg, “Spatiotemporal Sensitivity and Visual Attention for Efficient Rendering of Dynamic Environments,” ACM Trans. Graphics, vol. 20, no. 1, pp. 39-65, 2001.
[128] L. Itti and C. Koch, “A Saliency-Based Search Mechanism for Overt and Covert Shifts of Visual Attention,” Vision Research, vol. 40, nos. 10-12, pp. 1489-1506, 2000.
[129] A. Santella and D. DeCarlo, “Visual Interest in NPR: An Evaluation and Manifesto,” Proc. Third Int'l Symp. Non-Photorealistic Animation and Rendering (NPAR '04), pp. 71-78, 2004.
[130] R. Bailey, A. McNamara, S. Nisha, and C. Grimm, “Subtle Gaze Direction,” ACM Trans. Graphics, vol. 28, no. 4, pp. 100:1-100:14, 2009.
[131] A. Lu, C.J. Morris, D.S. Ebert, P. Rheingans, and C. Hansen, “Non-Photorealistic Volume Rendering Using Stippling Techniques,” Proc. IEEE Visualization '02, pp. 211-218, 2002.
[132] J.D. Walter and C.G. Healey, “Attribute Preserving Data Set Simplification,” Proc. 12th IEEE Visualization Conf. (Vis '01), pp. 113-120, 2001.
[133] L. Nowell, E. Hetzler, and T. Tanasse, “Change Blindness in Information Visualization: A Case Study,” Proc. Seventh IEEE Symp. Information Visualization (InfoVis '01), pp. 15-22, 2001.
[134] K. Cater, A. Chalmers, and C. Dalton, “Varying Rendering Fidelity by Exploiting Human Change Blindness,” Proc. First Int'l Conf. Computer Graphics and Interactive Techniques, pp. 39-46, 2003.
[135] K. Cater, A. Chalmers, and G. Ward, “Detail to Attention: Exploiting Visual Tasks for Selective Rendering,” Proc. 14th Eurographics Workshop Rendering, pp. 270-280, 2003.
[136] K. Koch, J. McLean, S. Ronen, M.A. Freed, M.J. Berry, V. Balasubramanian, and P. Sterling, “How Much the Eye Tells the Brain,” Current Biology, vol. 16, pp. 1428-1434, 2006.
[137] S. He, P. Cavanagh, and J. Intriligator, “Attentional Resolution,” Trends in Cognitive Science, vol. 1, no. 3, pp. 115-121, 1997.
[138] A.P. Sawant and C.G. Healey, “Visualizing Multidimensional Query Results Using Animation,” Proc. Conf. Visualization and Data Analysis (VDA '08), pp. 1-12, 2008.
[139] L.G. Tateosian, C.G. Healey, and J.T. Enns, “Engaging Viewers through Nonphotorealistic Visualizations,” Proc. Fifth Int'l Symp. Non-Photorealistic Animation and Rendering (NPAR '07), pp. 93-102, 2007.
[140] C.G. Healey, J.T. Enns, L.G. Tateosian, and M. Remple, “Perceptually-Based Brush Strokes for Nonphotorealistic Visualization,” ACM Trans. Graphics, vol. 23, no. 1, pp. 64-96, 2004.
[141] G.D. Birkhoff, Aesthetic Measure. Harvard Univ. Press, 1933.
[142] D.E. Berlyne, Aesthetics and Psychobiology. Appleton-Century-Crofts, 1971.
[143] L.F. Barrett and J.A. Russell, “The Structure of Current Affect: Controversies and Emerging Consensus,” Current Directions in Psychological Science, vol. 8, no. 1, pp. 10-14, 1999.
[144] I. Biederman and E.A. Vessel, “Perceptual Pleasure and the Brain,” Am. Scientist, vol. 94, no. 3, pp. 247-253, 2006.
[145] P. Winkielman, J. Halberstadt, T. Fazendeiro, and S. Catty, “Prototypes are Attractive Because They Are Easy on the Brain,” Psychological Science, vol. 17, no. 9, pp. 799-806, 2006.
[146] D. Freedberg and V. Gallese, “Motion, Emotion and Empathy in Esthetic Experience,” Trends in Cognitive Science, vol. 11, no. 5, pp. 197-203, 2007.
[147] B.Y. Hayden, P.C. Parikh, R.O. Deaner, and M.L. Platt, “Economic Principles Motivating Social Attention in Humans,” Proc. the Royal Soc. B: Biological Sciences, vol. 274, no. 1619, pp. 1751-1756, 2007.

Index Terms:
visual perception,data analysis,data visualisation,psychophysics,visual memory,attention,computer graphics,visual analysis,visualization design,human visual perception,visual analytics,visual attention,Visualization,Feature extraction,Humans,Bars,Visual perception,Data visualization,visualization.,Attention,color,motion,nonphotorealism,texture,visual memory,visual perception
Citation:
C. G. Healey, J. T. Enns, "Attention and Visual Memory in Visualization and Computer Graphics," IEEE Transactions on Visualization and Computer Graphics, vol. 18, no. 7, pp. 1170-1188, July 2012, doi:10.1109/TVCG.2011.127
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