visual thinking colin_ware_lectures_2013_14_pre-attentive processing and highlighting information

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Feature Level Processing Lessons from low-level vision Applications in Highlighting Icon (symbol) design Glyph design

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  • Feature Level ProcessingLessons from low-level visionApplications in HighlightingIcon (symbol) designGlyph design

  • Spotfire product

  • Visual symbols

  • Architecture for visual thinking

  • Primitives of Perception (the phonemes).The whole visual field is processed in parallelThis machinery tells us what kinds of information are easily distinguishedPopout effects (general attention)Segmentation effects (dividing up the visual field)

  • Segmentation by Primitive Features

  • Livingston and HubelNeural Architecture

  • Orientation and Size(Gabor primitives)

  • Image segmentation based on texture

  • Vector fields like using gabors

  • Pre-Attentive Processing

  • Color is Pre-Attentive (Pops out)

  • Generic Pre-Attentive ExperimentNumber of irrelevant items variesPre-attentive 10 msec per item or better.

  • Color

  • Orientation

  • Motion

  • Size

  • Simple shading

  • Conjunction (does not pop out)

  • Semantic Depth of Field

  • Compound features (do not pop out)

  • Surrounded colors do not pop out

  • Laws of pre attentive displayMust stand out on some simple dimensioncolor, simple shape = orientation, sizemotion, depth

    Lessons for highlighting one of each

  • Lessons: Highlighting how to make information available to attentionBlinking momentarily attracts attentionA flying box leads attentionUsing colorUsing underliningBlinking momentarily attracts attentionMotion elicits an orienting response

  • More Pre-Attentive

  • Conjunction (does not pop out)

  • Pre-attentive conjunction

  • Conjunctions of motion and shape do pop out. (color also?)McLeod, P., Driver, J. and Crisp, J. (1988) Visual search for a conjunction of movement and form is parallel. Nature 332, 154-155.

    Driver, J., MacLeod, P. and Dienes, Z. (1992) Motion coherence and conjunction search: Implications for guided search theory. Perception and Psychophysics. 51, 1, 79-85.

  • MEGraph: Experimental systemAllows for various topological range highlighting methodsGoal from 30 to 2000 nodesMEGraph

  • Pre-Attentive ChannelsForm (orientation/size) ColorSimple motion/blinkingAddition/numerosity (up to 3)Spatial, stereo depth, shading, position

  • Pre-Attentive ConjunctionsStereo and colorColor and motionColor and positionShape and position

    In general: spatial location and some aspect of form

  • Pre-Attentive LessonsRapid visual search (10 msec/item)Easy to attend toMakes symbols distinctBased on simple visual attributesFaces, etc are not pre-attentive

  • Designing symbols

  • Perceptual ChannelsColor (3)Shape (size, orient)Motion (2?)Texture (2++)Position (x,y)

  • Spatial ChannelsLike interferes with like

  • Size contrast effect

  • Orient contrast

  • Size contrast effects can cause errors in information display

  • Chris Weigle: orientation channels for info display

  • Mapping data to display variablesData glyphsPosition (2)Orientation (1)Size (spatial frequency) Motion (2)++Blinking?Color (3)

    Note we have the problem of heterogeneity There is no good solutionStar glyphMethod

  • Starplot glyph

  • Spotfire product

  • Integral and Separable dimension (Garner)Can we read display attributesIndependentlyHolisticallySpeeded classification task. Sort into two piles on one dimension or another

  • SeparableIntegralMotion Colorred-greenyellow-blueblack-whitered-greenx-size y-sizeColor orientation

  • Lessons for Information Display

    Orthogonality - use a different channel for a different type of informationIf you need this use separable challengeIf you need to highlight by two properties use separable dimensions.

  • The programmable filterWe can only look for patterns of simple featuresConjunctions of shape, color cannot be programmed for parallel search of fieldConjunctions of depth/motion and color/shape can be

    Integral dimensions tend to be seen holistically cannot be separatedSeparable dimensions tend to be seen separately

  • Searchlight Model of Attention

  • Searchlight PropertiesSize varies with data densitySize varies with stress levelAttention operators work within the searchlight beamAttention is a tunable filter

    Eye movements 3/sec A series of saccades

    Low Level: Basic feature analys determines what is seen with minimal effortMid Level: Pattern finding The demands of attention meets automatic processing High Level: Task related visual queries are formed objects/ patterns are pulled into working memory and tested against the query- Need to have the right mappings for queries to be easily satisfied.Attention is focused to execute the query.

    Final element is the cost of search.