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CPSC 599.28/601.28Cognitive Perspective
Sheelagh Carpendale
Introduction
• Supporting visual thinking– developing representations– comprehension
• some vision perception basics• attention• colour • depth
References
• Colin Ware. (2004) Information Visualization: Perception for Design. Morgan Kaufmann.
• Maureen Stone. (2003) A field guide to digital color. AK Peters• S. S. Stevens. (1961) The Psychophysics of Sensory Function.
Sensory Communication, MIT Press, pp 1-33. • William S. Cleveland, Robert McGill. (1984) Graphical
Perception: Theory, Experimentation and the Application to the Development of Graphical Models. J. Am. Stat. Assoc. 79:387, pp. 531-554.
• Leland Wilkinson. (1993) Comment on Cleveland. Journal of Computational and Graphical Statistics, 2, pp. 355-360.
• Bernice E. Rogowitz and Lloyd A. Treinish. (1996) How Not to Lie with Visualization. Computers In Physics 10(3), pp 268-273. http://www.research.ibm.com/dx/proceedings/pravda/truevis.htm
• C. Brewer. (1999) Color use guidelines for data representation. http://www.personal.psu.edu/faculty/c/a/cab38/ColorSch/ASApaper.html
Foveal vision
• size of a thumbnail at arms length• Corresponds to a small high resolution area on the retina
http://www.cs.nyu.edu/~yap/visual/home/proj/foveation.html
Foveal vision
http://psy.ucsd.edu/~sanstis/SABlur.html
Foveal vision
http://psy.ucsd.edu/~sanstis/SABlur.html
Field of View• Useful field of view
varies with tasklow character density - as wide as 15o
high character density - as narrow as 1o to 4o
Foveal vision
http://psy.ucsd.edu/~sanstis/SABlur.html
Saccades
• Fovea gives small high resolution images• Saccades do rapid scanning • Brain assembles • Vision perceived as continuous
http://vision.arc.nasa.gov/personnel/jbm/home/projects/osa98/osa98.html
Eye movements• Saccadic movements
– eye moves rapidly from fixation to fixation– dwell period 200 to 600 msec– saccade takes 20 to 100 msec– peak velocity can be 900 deg/sec– ballistic - cannot be adjusted mid saccade– saccadic suppression - less sensitive visually during a
saccade• smooth-pursuit movements
– ability to ‘lock-on’ to a smoothly moving object– enables head and/or body movements while maintaining
visual contact• convergent movements
– towards - eyes converge – away - eyes diverge
• accommodation– new target - refocus - 200 msec– convergence and accommodation neurologically coupled
Affected by motion
appearance
motion
Field of View
X
Change Blindness • some times changes are not perceived http://viscog.beckman.uiuc.edu/djs_lab/demos.html
http://www.psych.ubc.ca/~rensink/
Rensink, Ronald A.; O'Regan, J. Kevin & Clark, James J. (1997), To see or not to see: the need for attention to perceive changes in scenes, Psychological Science 8 (5): 368-373.
Silverman, M. & Mack, A. (2006), Priming by change blindness: When it does and does not occur, Consciousness and Cognition 15: 409-422.
Simons, Daniel J. & Levin, Daniel T. (1998), Failure to detect changes to people during a real-world interaction, Psychonomic Bulletin and Review 5: 644-649.
Light and Objects
• objects reflect light• luminance
• black paper in sunlight vs. white paper in indoor lighting conditions
• eyes and photometers - we see differences not absolutes (this is similar to many sensory systems)
Image from John MCannImage from John MCann (slide M. Stone)Image from John MCann (slide M. Stone)
Image from John MCannImage from John MCann
Image from John MCann (slide M. Stone)Image from John MCann (slide M. Stone)
Image from John MCann (slide M. Stone)Image from John MCann (slide M. Stone)
Human Perception and Light• Difference Signaling
• Contrast vs. value information• Light value information vs. object information.
• cell has normal rate• light in centre excites • light in surrounds inhibits
Consequences
• Hermann Grid Illusion
Consequences
• Scintillating Grid
Consequences
• Grating Induction Effect
Consequences
• Mach Banding
Consequences
• Chevreul Illusion
Consequences
• Crispening
Consequences
• Craik-Cornsweet Effect
Seurat: The Bathers
• Craik-Cornsweet Effect
Lightness/Brightness summary• Encoding of Information in greyscale
• Perception may not be as expected• C. Ware’s advice - often better ways to encode
information than to use a greyscale• The human eye is not a photometer, and
should not be treated as such• Understanding how the eye does work can
help us avoid problems that might arise
Overview for Attention
• eye movements• searching• neural processing• information density• information coding• applications
Reading and short term memory• How many symbols can you remember?
• Usually about 7• 7+ or - 2• short term
memory
as 1o
X?
&%
#
Q
@
9
6$
*F
Pre-attentive processing
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23589457397568607967524535123465346243562457624572456134523523523523523524351345324716498762987460329587235827653363787213876429876987636409872169653296241392374621639876398712365971245938746387469887126498172649872165971523972356987129721653978216409871246478346721898763945089776439821734694649643927643098726342874698649875971523971239764908714698764987243698127346987461435895321456865437
Pre-attentive processing
X
Number of distracters
Response time(milliseconds)
1000
250
750
500
9 1263
X X X
typical results
pre-attentivenon-pre-attentive
X
Pre-attentive processing• Features thought to be pre-attentive
• form– line orientation– line length– line width– line collinearity– size– curvature– spatial grouping– added marks– numerosity
• colour– hue– intensity
• spatial position– 2d position– stereoscopic depth– convex/concave from shading
• motion– flicker– direction of motion
Pre-attentive processing
orientation
numbersize
shapecurved/straight
shape
Pre-attentive processing
value
Parallelism ??Juncture ??
convex/concave
enclosure
addition
Pre-attentive processing• Colour
Colour
shape
Pre-attentive processing• Conjunction search• Colour and shape
Pre-attentive processing
• generalizations • which dominates seems to vary with degree of
‘separation’ • adding is ‘better’ than taking away• to be pre-attentive a colour needs to be ‘outside’ the
boundary of the region defined by the other colours in the display
Position: best for all data typesdata type
Mackinlay, Automating the Design of Graphical Presentations of Relational Information, ACM TOG 5:2, 1986
For quantitative data
• Graphical Perception: Theory, Experimentation and the Application to the Development of Graphical Models. William S. Cleveland, Robert McGill, J. Am. Stat. Assoc. 79:387, pp. 531-554, 1984.
Frames can increase accuracy
AA TD
AA TD
Similar to Ware’s adaptation of Nakayama et al.
• Based on visual gestalt (perception of ‘wholeness’)
• Descriptive rather than explanatory
ProximitySimilarity Continuity (connectedness)ClosureFigure/groundSymmetryCommon fate (things moving together)
Gestalt Principles: perception
• Based on visual gestalt (perception of ‘wholeness’)
Proximity
Gestalt Principles: perception
xa
b
Information Visualization: Perception for Design.
Ware, Morgan Kaufmann, 2000
• Based on visual gestalt (perception of ‘wholeness’)
Proximity Similarity
Gestalt Principles: perception
Continuity
Gestalt Principles
Information Visualization: Perception for Design.
Ware, Morgan Kaufmann, 2000
• connectedness
Gestalt Principles
Information Visualization: Perception for Design.
Ware, Morgan Kaufmann, 2000
• Closure
Gestalt Principles
• Closure • Overrules
proximity, similarity
Gestalt Principles
Information Visualization: Perception for Design.
Ware, Morgan Kaufmann, 2000
• Symmetry • Emphasizes relationships
Gestalt Principles
Information Visualization: Perception for Design.
Ware, Morgan Kaufmann, 2000
• Common fate • http://tepserver.ucsd.edu/~jlevin/gp/time-example-
common-fate/
Gestalt Principles
Information Visualization: Perception for Design.
Ware, Morgan Kaufmann, 2000
Figure/ground
Smaller components seen as objects
Gestalt Principles
figure/ground
Gestalt Principles
M. C. Escher print: Study of the Regular Division of the Plane with Horsemen
Visual variable
Dimensionality
comment
Spatial position x, y, z
colour 3D – colour theory Luminance contrast needed
shape 2-3? unknown Size and degree of elongation and ?
orientation 3D – orientation of axes
not independent of shape
Surface texture 3D Not independent of shape and colour
Motion 2-3? Largely unknown
blink 1D Not independent of motion
•Depth Cue Theory-Monocular Static (Pictorial)-Monocular Dynamic (Moving
Picture)-Binocular
•Task-Based Space Perception
Space Perception
Monocular Static (Pictorial)
-Linear Perspective-Texture Gradient-Size Gradient-Occlusion -Depth of Focus-Cast Shadows-Shape-from-Shading
Space Perception: depth cue theory
The Geometry of Linear Perspective
Texture Gradient
Convergent Lines & Size Gradient
Occlusion
Depth of Focus
Cast Shadows
Monocular Dynamic (Moving Picture)
-Structure from Motion (motion parallax, kinetic depth)
a) Velocity Gradient, b) Velocity Field, c) Kinetic Depth
Binocular• Eye convergence
• Stereoscopic Depth
• Problems with Stereoscopic Displays
• Making Effective Stereoscopic Displays
Vergence Angle
Simple Stereo Display
Frame Cancellation
Geometry of Virtual Eye Separation
Artificial Spatial Cues
Dropping Lines to Ground Plane
Artificial Spatial Cues
Proximity Luminance Covariance or Depth Cueing
Depth Cues in Combination
Vergence Kinetic
depth
Depth of focus
Shadows
Shading
Occlusion
Linear perspective
Texture gradients
Stereo
Task-Based Space Perception
• Tracing Data Paths in 3D Graphs
• Judging the Morphology of Surfaces and Target Detection
• Patterns of Points in 3D Space
• Judging Relative Positions of Objects in Space
• Judging the Relative Movement of Self within the Environment
• Judging the “Up” Direction
• The Esthetic Impression of 3D Space (Presence)
Is there more space in 3D?
•1D has how much data display space?
•2D has how much data display space?
•3D?
Stereo 1.6Stereo 1.6
Motion 2.2Motion 2.2
Stereo and motion 3.0Stereo and motion 3.0
http://www.illusionworks.com/
http://www.psychology.psych.ndsu.nodak.edu/mccourt/website/htdocs/HomePage/
Projects/Brightness/Brightness%20Perception.htm
http://psy.ucsd.edu/~sanstis/SASlides.html