perceptual and cognitive aspects - uppsala university · 2010-09-15 · perceptual and cognitive...
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VisualizationVisualization
Perceptual and cognitive aspects
15th of September, 2010
Stefan Seipel
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Overview
Quick overview over this lesson
Physiology of the human eye
Visual acuity and performance
Color, brightness and contrast
Use of colors
Pop-out effect
Cognitive limits
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Physiology
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RetinaReceptors of two types : cones and rods
Rods (sv. stavar):Sensitive at low light levelApproximately 100 millionContribute little at daylight (overloaded at daylight levels)Are interconnected over larger areas
Cones (sv. tappar): Effective at daylight levelsColor sensitiveAre highly packet at the fovea (180 per degree)Approx. 100.000 at the foveaApproximately 6 million in total
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Retina
Blind spotAt approx. 15 degrees lateralExperiment: Two thumbs -> follow instructions
Fovea1,5-2 degrees
Corresponds to an area size s=2,5 cmat d=70 cm viewing distance
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Visual Angle
⎟⎠⎞
⎜⎝⎛⋅⋅=
2tan2 αds
Definition
Visual angle is the angle subtended by an object at some distance to the observer.
When describing visual acuities and properties, visual angle is used because it is independent of viewing distances and objects viewed.
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Visual Angle
Focal field of view defined 1-2 degrees visual angle
Size of a thumbnail at approximately arms length
~1,5 cm at 60 cm viewing distance
Sensor density of 20 arc sec. (see above)
“receptor footprint” -> 0.06 mm at 60 cm viewing distance
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Visual AcuitiesPoint acuity: 1 minute of arc
Grating acuity: 1-2 minutes of arc
Letter acuity: 5 minutes of arc (5,8 mm at 4 meters distance)
Stereo acuity: 10 seconds of arc
Vernier acuity: 10 seconds of arc
Acuity fall-off across visual field: Compare figure separate slide
Several receptors interconnected -> super-acuity
Acuity depends on brightness/contrast
Acuity depends on color (e.g. weak blue)
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Visual Acuities
Point acuity: 1 minute of arc Grating acuity: 1-2 minutes of arcLetter acuity: 5 minutes of arc (5,8 mm at 4 meters distance)Vernier acuity: 10 seconds of arc
• Acuity fall-off across visual field: Compare figure
• Several receptors interconnected -> superacuity
• Acuity depends on brightness/contrast
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0 10103050 50300 10103050 5030
Fove
a
Blin
d sp
ot
NoseTemple
Fove
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Blin
d sp
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NoseTempleR
elat
ive
acui
ty(%
of m
axim
um)
Distance from fovea (in degrees visual angle)
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Visual AcuitiesUtilisation of Vernier acuity: Caliper scales
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Visual Acuities – Some illusionsExperiment: Visual illusion due to limited retinal resolution
First: Look at this image in fullscreen (15” monitor at 70cm viewing distance)Second: Step back about 4 meters from the screen.
What happens; can you explain?
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Visual Acuities – Some illusions
The low-frequency component of the image. At far viewing distances they become prominent as the high frequency spatial
Components in the image cannot be resolved by the HVS.
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Lens
Chromatic aberration
Power depends on color
Blurry blue
Blue appears “out of focus”
Receptor sensitivity for blue is only 5% of
maximum sensitivity for green
Dispersion caused by varying refractive index for different wavelengths
Refraction of light depends on• optical power of the lens• wavelength of the light
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Can you read this?
Can you read this?
Can you read this?
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Properties of the visual field of view
Periphery (horizontally up to 200 deg.)
Central FoV (vertically approx. 120 deg.)
Receptor distribution and properties
Stereo-overlap (approx. 120 deg.)
Most prominent figures at 4-5 deg visual angle
Approximately 6 cm at 70 cm viewing distance
Rapid changes are detected in periphera field of view
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Luminance, lightness and brightness
Definitions:
Luminance is the measurable amount of light coming from some region in space . It is a physical property that can be exactly measured (eg. Candela per square meter).
Brightness is the perceived amount of light coming from self-luminous objects.
Lightness refers to the perceived reflectance of a surface. A white surface Is light a black one is dark.
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Perception of brightness levels
The human visual system is not an absolute measuring device.
The perceived lightness and brightness depends on a number of factors:
• Overall ambient light level adjustment (photo pigment bleaching)
• The illuminant and spatial illumination conditions (see illusion next slide)
• Colors in the surround of an object (see illusion picture)
• Local contrast effects
Example:
A black object on a sunny day outside reflects more light than a white object inside an office room. Yet, we perceive the black object as dark and the white one as light.
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Colors maps
Estimation of the lightness of colors depends on surround
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Colors maps
Color not useful as a means to encode/read absolute value
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Interpretation of color
Again, the human visual system is not an absolute measuring device.
Also perceived color depends on a number of factors:
• Overall ambient light level adjustment (photo pigment bleaching)
(after images)
• Colors in the surround of an object (see illusion picture)
• Local contrast effects
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Color AdaptationWhat color is the shirt of the lady not raising her hands?
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Color AdaptationLet’s have a look at a picture with a color filter.
What color is the top of the lady not raising her hands?
Did you say yellow? Right!
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Color AdaptationHere is the original image, without filter.
And quite right. The color is yellow!
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Color AdaptationNow lets copy the top from picture1 into the original picture2?
Well, the color of the top in picture1 was in fact green!
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Color AdaptationHere is the direct comparison
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ContrastVisual perception is not directly based on the neural signals ofthe receptors in the retina, instead there is some neural processing in several layers of retinal ganglion cells.
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Contrast
Ganglion cells are organized with circular receptive fields thatcan have an on-center or off center. Size of receptive fields vary from central field of view to periphery.
Lateral inhibition (Hartline 1940)
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ContrastDifference of Gaussian model (compare figure 3.3)
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Simultaneous contrast
The DOG processing model yields enhanced contrast -> simultaneous contrast
Color Ramp example
Other illusionary pictures
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Hermann Grid
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High Contrast and Visual Stress
Spatial frequency of 3 deg / vis angle
And high contrast
See next picture
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Tri-stimulus color model
Spectral range of visible light 380nm – 680nm
Spectral sensitivity function
Three peaks: 430 nm, 540nm, 580nm
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Relative sensitivity of the eye
Green 555 nm, peakBlue 450 nm, 4% of max sensitivity
=> Blue is not a good choice in presence of green or red
Relative sensitivity to different wavelength according to CIE (V(l) (Values from Ware 2005)
0
0,2
0,4
0,6
0,8
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1,2555 nm
Tri-stimulus color model
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Opponent Process Theory
Ewald Hering (1920)
• Six base colors (unlike trichromacy theory)
• Differential and additive processing of receptors signals
• Naming-, cultural and neurophysiologicalevidence for this theory
Cone signals are hierarchically combined and processed in three channels:
Yellow-Blue (R+G-B)
Red-Green (R-G)
Black-White (R+G+B)
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Color as label
Ethnographic studies
Most frequent colors
How many we can distinguishCompare 4.12
Colors that are not basic are difficult to remember(orange, lime green …)
Criteria for use of color as labelDistinctness, uniqueness, contrast with background, color blindness, number, field size,conventions
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BrownPinkPurpleOrangeGray
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Color as labelConventions and learned knowledge
Yellow
Green
Blue
Orange
Gray
Red
Green
Name the colors of the words!
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Color as labelConventions and learned knowledge
Yellow
Green
Blue
Orange
Gray
Red
Green
Name the colors of the words!
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Colors to show detail
Lightness contrast most important for readability of text and fine detail
Note: Acuity depending on brightness of colors
Not too small structures
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Colors as visual pop-out
Visual pop-out:
Visual pop-out occurs when visual features are processed pre-attentively. I.e. in a visual task, where visual targets are identified, this identification is not depending on the number of the distractors (non-target elements).
Chrominance differences are useful as visual pop-out, however consider color restrictions according to 4.19
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Colors maps
Perceptual linearity
Constant lightness contrast
Color maps for deviation detection
Not suited for quantitative assessment
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VisualizationVisualizationPotential and pitfalls Potential and pitfalls
Visualization has an enormous potential!
”An image tells more than thousand words”
But:
”The eye sees what it wants to see”
CAVEAT: Illusions and perceptual limits
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VisualizationVisualizationAmbiguous representations Ambiguous representations
”The eye sees what it wants to see”
Sax player or woman's face? Seal or donkey's face? Bacchus or couple kissing?
How you interpret the visual percept depends among others upon your personal attitude, expectations and visual angle
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VisualizationVisualizationCognitive limits Cognitive limits
Visualizations have enormous potential!
”An image tells more than thousand words”
However:
”Human’s capacity for attention is limited”
Example: “Inattentional blindness”
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InattentionalInattentional blindnessblindnessTask : Count the passes of the black team in the following video!
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Visualizations have enormous potential!
”An image tells more than thousand words”
However:
”Human visual short term memory is limited”
Example: “Change blindness”
VisualizationVisualizationCognitive limits Cognitive limits
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VisualizationVisualization
Change Blindness:
Large changes in a scene are not detected if they coincide with some visual disruption (saccades, blinks, transient noise and distraction)
Failure to compare relevant visual information from current scene with visual short term memory.
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Change Blindness:
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VisualizationVisualization
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Change Blindness:
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VisualizationVisualizationPotential pitfalls Potential pitfalls
The way in which data is mapped upon visual form affects how a message is perceived!
Visualizations can unintentionally make interpretation more difficult!
Visualizations can be manipulative or even be misused!
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VisualizationVisualizationExample of manipulative useExample of manipulative use
Same data, different appearance!
“WiLLY:s Sveriges billigaste matkasse”, UNT ad 26th aug. 2010
This is what EXCEL offers you as default! After manual adjustment of scale.