Ware:Vislab:CCOM Basic Vision+ The process and what stands out CH1 – CH2 + supplimentary

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  • Ware:Vislab:CCOM Basic Vision+ The process and what stands out CH1 CH2 + supplimentary
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  • Ware:Vislab:CCOM 2D Scalar
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  • Arctic Sea Ice Volume (1D Scalar) Ware:Vislab:CCOM 17.5K ~3K
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  • Ware:Vislab:CCOM Data Classes Scalar Field 1D 2D 3D Vector Field 1D 2D 3D Time Varying All of the above Discrete 1D K-dimensional Nominal Overlapping sets of data with multiple nominal attributes Graph G = {V,E} Tree Directed acyclic Weighted graph Hyper graph What is a map?
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  • Human Visual Field
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  • Visual Angle
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  • 1 diopter: a lens that focuses at 1 meter. 45d Cornea ~15d Lens d = 1/f
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  • Acuities Vernier super acuity (10 sec) Grating acuity Two Point acuity (0.5 min) What is the ideal resolution
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  • CAVE Resolution problems Light scattering problems iPhone 960x640 5 cm 1280x1280
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  • CAVE Resolution problems Light scattering problems iPhone 960x640 5 cm 1280x1280 128 pixels/degree 14 pixels/deg 16,000 pixels/ deg 2 196 pixels/ deg 2
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  • Immersion VR HMD + head tracking Data glove
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  • Human Spatial Acuity
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  • Cutoff at 50 cycles/deg. Receptors: 20 sec of arc Pooled over larger and larger areas 100 million receptors 1 million fibers to brain A desktop screen may have 30 pixels/cm need about 4 times as much. I phones better. VR displays have 5 pixels/cm
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  • Aliasing and Anti aliasing
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  • Temporal Aliasing Human Flicker fusion 50 Hz Temporal aliasing occurs with moving targets Must compute motion blur to fix the problem
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  • Acuity Distribution
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  • Brain Pixels
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  • Ware:Vislab:CCOM
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  • Visual search
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  • The Process of Visual Thinking Ware:Vislab:CCOM
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  • Spotfire product
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  • What we can easily find :CH2 Visual search depends on Salience (low level properties) Tuning of low level properties Search skills (knowledge) Ware:Vislab:CCOM
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  • V1 processing Ware:Vislab:CCOM
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  • Pre-Attentive Processing
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  • Color is Pre-Attentive (Pops out)
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  • Generic Pre-Attentive Experiment Number of irrelevant items varies Pre-attentive 10 msec per item or better.
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  • Color
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  • Orientation
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  • Motion
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  • Size
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  • Simple shading
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  • Conjunction (does not pop out)
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  • Semantic Depth of Field
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  • Channels = perceptual dimensions Ware:Vislab:CCOM Symbol Coding Color Channel Form Channel Motion Channel Hue Sat Luminance Size Orient Elong Vertical Horizontal Blinking
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  • Relevance Symbol design (nominal coding) Highlighting, - search guidance. Glyph design (quantititive symbols) Ware:Vislab:CCOM
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  • Mapping data to display variables Data glyphs Position (2) Orientation (1) Size (spatial frequency) Motion (2)++ Blinking? Color (3) Note we have the problem of heterogeneity There is no good solution Star glyph Method
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  • Starplot glyph
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  • How many dimensions? Ware:Vislab:CCOM
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  • Surplus Data into Art? Ware:Vislab:CCOM
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  • Symbols Ware:Vislab:CCOM
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  • Redundant coding Outliers on feature dimensions are more easily seen Ware:Vislab:CCOM
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  • A symbol set designed for rapid search Ware:Vislab:CCOM
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  • Asymmetries in search Ware:Vislab:CCOM Highlighting methods Add something rather than subtract something
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  • Motion Highlighting Ware:Vislab:CCOM We are very sensitive to motion in the periphery. (Peterson and Dugas, 1972)
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  • How to make a reminder -emergence (Hillstrom and Yanti, 1994) Ware:Vislab:CCOM
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  • Search as a process Ware:Vislab:CCOM
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  • Search as a process Ware:Vislab:CCOM
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  • Heirarchical design aids search Ware:Vislab:CCOM
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  • The process (again) Ware:Vislab:CCOM