Visual thinking colin_ware_lectures_2013_1_introduction

  • View

  • Download

Embed Size (px)

Text of Visual thinking colin_ware_lectures_2013_1_introduction

  • Visual Queries:The foundation of visual thinkingColin WareData Visualization Research LabUniversity of New HampshireDesigning with cyborgs in mind

  • Change BlindnessSimons and Levin

  • Vogel Woodman and LuckCapacity of visual working memory 3 simple shapes

  • Sequential comparison task

  • Central Problem: How do we perceivethe world in all its rich detail?Only detail in foveaOnly a small amount of Information in visual working memory.

  • SolutionThe world is its own memory OReganTask-related active visionWhat you see is what you needTreish et al. (2003)

    Seeing is a process that helps us solve problems

  • Visualizations are much better databases than what we have in our heads

  • Architecture for visual thinking

  • Stage 2 Pattern perception

    Visual queries are executed by finding patterns in displaysAttentional DemandsTune the pattern finding processes

    Top down meets bottom up

  • Visual search

  • Eye movementsTwo or three a secondPreserves Context

    We seek patterns

  • ME GraphConstellation

  • Why visualize?Human Memory: 100 meg (Landauer)= 108 (not unique)World information: 1 exabyte/year= 1018 (unique)= 108 bytes new information per person per year

    Conclusion: we are cognitive cyborgs our memories are not in our heads.

  • Why do we care about perception?It is about what makes information display effective.Can there be a science of visualization?Evaluation

  • VisualizationsMapsRouteFlowThematic (geology, vegetation, etc)Multi-dimensional DiscreteMulti-dimensional continuousGraphs Social NetworksFlowNarrative explaining dataAnimations, assembly diagramsOther thinking toolsCalendars, Planners, search engines, News pages, Design tools

  • Understanding surface shape

    Victoria Interrante

  • Linked WindowsTide AwareShow GeoNavGeoZui4D

  • Flow visualizationHow do we optimally display vector fields?

  • Length - 420 ft16,000 TonsBeam 82 ft30,000 HPDraft 29 ftDiesel Elec AC/AC

    Fuel 1,165,000 galTop Speed 17ktsIce Breaking 4.5 ft @ 3 kts

  • CAVEHead tracking stereoResolution problemsLight scattering problems Vergence focus problem for near objectOcclusion problems for near objects

  • Immersion VRHMD + head trackingData glove

  • Capacity of visual working memory (Vogal, Woodman, Luck, 2001)Task change detectionCan see 3.3 objectsEach object can be complex1 second

  • Just enough, just in time

  • Dual ProcessingOBJECTFILESNexusDog

  • Attention and Patterns

    *John HorganHerb Simon*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.*The middle ground Visual queries are exectuted by finding patterns in displaysExecuted on the outputs of low level processing