SlideShare ist ein Scribd-Unternehmen logo
1 von 61
Feature Level Processing





Lessons from low-level vision
Applications in Highlighting
Icon (symbol) design
Glyph design
Spotfire product
Visual symbols
Architecture for visual thinking
Primitives of Perception (the
phonemes).







The whole visual field is processed in
parallel
This machinery tells us what kinds of
information are easily distinguished
Popout effects (general attention)
Segmentation effects (dividing up the
visual field)
Segmentation by Primitive
Features
stereo
form
color
form
stereo
form
color
form
stereo

MT movement/stereo
Livingston and
Hubel
Neural Architecture

form

form
color
color
movement movement

1
2&3
4A Visual Area 2
4B
4C

5
6
Visual Area 1 (Primary Visual Cortex)
Orientation and Size
(Gabor primitives)
Image segmentation based on
texture
Vertical fat Gabor
filters respond most
strongly

Horizontal skinny
Gabor filters respond
most strongly

Resulting
Segmentation
Vector fields like using gabors
Pre-Attentive Processing

89097909
90949794
7520668
3775252
08032880
80808508
0808002
25809-8
548t8050
678y2970
7274047
8925272
29849628
18950078
7405492
83r7591
89789490
94952579
7705579
5928932
Color is Pre-Attentive (Pops out)

8 9 0 9 72 5 2
9 0 9 4 9 70 9
7 5 2 0 6 6 84
3775 9 9
0 8 0 30 9 - 8
8 0 8 0 8 58 0
0 8 0 8 0 0 28
258 28 0
5 4 8 t 82 7 2
6 7 8 y 2 95 0
7 2 7 4 0 4 70
8925 0 7
2 9 8 4 95 9 1
1 8 9 5 0 02 8
7 4 0 5 4 9 28
83r7 6 7
8 9 7 8 99 399
9 4 9 5 2 59 0
770557 2
5928 4 7
Generic Pre-Attentive Experiment


900



700

500
3
6
12
Number of distractors

Number of irrelevant
items varies
Pre-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 display


Must stand out on some simple dimension







color,
simple shape = orientation, size
motion,
depth

Lessons for highlighting – one of each
Lessons: Highlighting how to make
information available to attention
Using color
Using
underlining
A flying box leads attention
Blinking momentarily attracts attention
Motion 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 system


Allows for various topological range
highlighting methods

MEGraph

Goal

from 30 to 2000 nodes
Pre-Attentive Channels






Form (orientation/size)
Color
Simple motion/blinking
Addition/numerosity (up to 3)
Spatial, stereo depth, shading, position
Pre-Attentive Conjunctions







Stereo and color
Color and motion
Color and position
Shape and position
In general: spatial location and some
aspect of form
Pre-Attentive Lessons






Rapid visual search (10 msec/item)
Easy to attend to
Makes symbols distinct
Based on simple visual attributes
Faces, etc are not pre-attentive
Designing symbols
Perceptual Channels






Color (3)
Shape (size, orient)
Motion (2?)
Texture (2++)
Position (x,y)
Spatial Channels

Like 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 variables
Data glyphs









Position (2)
Orientation (1)
Size (spatial frequency)
Motion (2)++
Blinking?
Star glyph
Color (3)
Method
Note we have the
problem of heterogeneity
– There is no good
solution
Starplot glyph
Spotfire product
Integral and Separable dimension
(Garner)


Can we read display attributes





Independently
Holistically

Speeded classification task. Sort into two
piles on one dimension or another
Integral
red-green

yellow-blue

black-white

red-green

x-size

y-size

Color

orientation

Motion

Color

Separable
Lessons for Information Display





Orthogonality - use a
different channel for a
different type of
information
If you need this use
separable challenge
If you need to highlight
by two properties use
separable dimensions.
The programmable filter







We can only look for patterns of simple features
Conjunctions of shape, color cannot be
programmed for parallel search of field
Conjunctions of depth/motion and color/shape
can be
Integral dimensions tend to be seen holistically
cannot be separated
Separable dimensions tend to be seen
separately
Searchlight Model of Attention
U fu V al
se l isu
F ldo V
ie f iew

V a
isu l
Sa o
e rch r
M n rin
o ito g
S te y
tra g

Ee
y
Mv m t
o e en
Cn l
o tro
Searchlight Properties







Size varies with data density
Size varies with stress level
Attention operators work within the
searchlight beam
Attention is a tunable filter
Eye movements 3/sec – A series of
saccades

Weitere ähnliche Inhalte

Was ist angesagt?

Region based image segmentation
Region based image segmentationRegion based image segmentation
Region based image segmentationSafayet Hossain
 
Improvement of Objective Image Quality Evaluation Applying Colour Differences...
Improvement of Objective Image Quality Evaluation Applying Colour Differences...Improvement of Objective Image Quality Evaluation Applying Colour Differences...
Improvement of Objective Image Quality Evaluation Applying Colour Differences...CSCJournals
 
Comparison of image segmentation
Comparison of image segmentationComparison of image segmentation
Comparison of image segmentationHaitham Ahmed
 
Comparative study on image segmentation techniques
Comparative study on image segmentation techniquesComparative study on image segmentation techniques
Comparative study on image segmentation techniquesgmidhubala
 
Cvpr2007 object category recognition p4 - combined segmentation and recogni...
Cvpr2007 object category recognition   p4 - combined segmentation and recogni...Cvpr2007 object category recognition   p4 - combined segmentation and recogni...
Cvpr2007 object category recognition p4 - combined segmentation and recogni...zukun
 
Erosion and dilation
Erosion and dilationErosion and dilation
Erosion and dilationAkhil .B
 
Fuzzy Region Merging Using Fuzzy Similarity Measurement on Image Segmentation
Fuzzy Region Merging Using Fuzzy Similarity Measurement  on Image Segmentation  Fuzzy Region Merging Using Fuzzy Similarity Measurement  on Image Segmentation
Fuzzy Region Merging Using Fuzzy Similarity Measurement on Image Segmentation IJECEIAES
 
Image segmentation
Image segmentationImage segmentation
Image segmentationDeepak Kumar
 
Ajay ppt region segmentation new copy
Ajay ppt region segmentation new   copyAjay ppt region segmentation new   copy
Ajay ppt region segmentation new copyAjay Kumar Singh
 
Edge Detection and Segmentation
Edge Detection and SegmentationEdge Detection and Segmentation
Edge Detection and SegmentationA B Shinde
 
Presentation on deformable model for medical image segmentation
Presentation on deformable model for medical image segmentationPresentation on deformable model for medical image segmentation
Presentation on deformable model for medical image segmentationSubhash Basistha
 
Content Based Image Retrieval using Color Boosted Salient Points and Shape fe...
Content Based Image Retrieval using Color Boosted Salient Points and Shape fe...Content Based Image Retrieval using Color Boosted Salient Points and Shape fe...
Content Based Image Retrieval using Color Boosted Salient Points and Shape fe...CSCJournals
 
Texture By Priyanka Chauhan
Texture By Priyanka ChauhanTexture By Priyanka Chauhan
Texture By Priyanka ChauhanPriyanka Chauhan
 
A Hybrid top-down/bottom-up approach for image segmentation incorporating col...
A Hybrid top-down/bottom-up approach for image segmentation incorporating col...A Hybrid top-down/bottom-up approach for image segmentation incorporating col...
A Hybrid top-down/bottom-up approach for image segmentation incorporating col...Mehryar (Mike) E., Ph.D.
 

Was ist angesagt? (20)

Region based segmentation
Region based segmentationRegion based segmentation
Region based segmentation
 
Image segmentation
Image segmentationImage segmentation
Image segmentation
 
Region based image segmentation
Region based image segmentationRegion based image segmentation
Region based image segmentation
 
Im seg04
Im seg04Im seg04
Im seg04
 
Improvement of Objective Image Quality Evaluation Applying Colour Differences...
Improvement of Objective Image Quality Evaluation Applying Colour Differences...Improvement of Objective Image Quality Evaluation Applying Colour Differences...
Improvement of Objective Image Quality Evaluation Applying Colour Differences...
 
Comparison of image segmentation
Comparison of image segmentationComparison of image segmentation
Comparison of image segmentation
 
Comparative study on image segmentation techniques
Comparative study on image segmentation techniquesComparative study on image segmentation techniques
Comparative study on image segmentation techniques
 
Cvpr2007 object category recognition p4 - combined segmentation and recogni...
Cvpr2007 object category recognition   p4 - combined segmentation and recogni...Cvpr2007 object category recognition   p4 - combined segmentation and recogni...
Cvpr2007 object category recognition p4 - combined segmentation and recogni...
 
Erosion and dilation
Erosion and dilationErosion and dilation
Erosion and dilation
 
Fuzzy Region Merging Using Fuzzy Similarity Measurement on Image Segmentation
Fuzzy Region Merging Using Fuzzy Similarity Measurement  on Image Segmentation  Fuzzy Region Merging Using Fuzzy Similarity Measurement  on Image Segmentation
Fuzzy Region Merging Using Fuzzy Similarity Measurement on Image Segmentation
 
Image segmentation
Image segmentationImage segmentation
Image segmentation
 
Image segmentation using wvlt trnsfrmtn and fuzzy logic. ppt
Image segmentation using wvlt trnsfrmtn and fuzzy logic. pptImage segmentation using wvlt trnsfrmtn and fuzzy logic. ppt
Image segmentation using wvlt trnsfrmtn and fuzzy logic. ppt
 
Mf3421892195
Mf3421892195Mf3421892195
Mf3421892195
 
Ajay ppt region segmentation new copy
Ajay ppt region segmentation new   copyAjay ppt region segmentation new   copy
Ajay ppt region segmentation new copy
 
PPT s06-machine vision-s2
PPT s06-machine vision-s2PPT s06-machine vision-s2
PPT s06-machine vision-s2
 
Edge Detection and Segmentation
Edge Detection and SegmentationEdge Detection and Segmentation
Edge Detection and Segmentation
 
Presentation on deformable model for medical image segmentation
Presentation on deformable model for medical image segmentationPresentation on deformable model for medical image segmentation
Presentation on deformable model for medical image segmentation
 
Content Based Image Retrieval using Color Boosted Salient Points and Shape fe...
Content Based Image Retrieval using Color Boosted Salient Points and Shape fe...Content Based Image Retrieval using Color Boosted Salient Points and Shape fe...
Content Based Image Retrieval using Color Boosted Salient Points and Shape fe...
 
Texture By Priyanka Chauhan
Texture By Priyanka ChauhanTexture By Priyanka Chauhan
Texture By Priyanka Chauhan
 
A Hybrid top-down/bottom-up approach for image segmentation incorporating col...
A Hybrid top-down/bottom-up approach for image segmentation incorporating col...A Hybrid top-down/bottom-up approach for image segmentation incorporating col...
A Hybrid top-down/bottom-up approach for image segmentation incorporating col...
 

Andere mochten auch

Lecture 5 Data Visualisation
Lecture 5 Data VisualisationLecture 5 Data Visualisation
Lecture 5 Data Visualisationpaul.hawking
 
UCD 2013 - Shapes & Patterns: The Role of Pre-Attentive Psychology in Design
UCD 2013 - Shapes & Patterns: The Role of Pre-Attentive Psychology in DesignUCD 2013 - Shapes & Patterns: The Role of Pre-Attentive Psychology in Design
UCD 2013 - Shapes & Patterns: The Role of Pre-Attentive Psychology in DesignStephen Denning
 
Introduction to Data Visualization
Introduction to Data Visualization Introduction to Data Visualization
Introduction to Data Visualization Ana Jofre
 
Information Visualization - not just eye candy
Information Visualization - not just eye candyInformation Visualization - not just eye candy
Information Visualization - not just eye candyJan Srutek
 
SLA Nov2009 Public
SLA Nov2009 PublicSLA Nov2009 Public
SLA Nov2009 Publicaspoerri
 
Integration theory short.wmv - copy (2)
Integration theory   short.wmv - copy (2)Integration theory   short.wmv - copy (2)
Integration theory short.wmv - copy (2)Cherie Phillips
 
The Feature-Integration of Attention_Jing
The Feature-Integration of Attention_JingThe Feature-Integration of Attention_Jing
The Feature-Integration of Attention_JingJing Chen
 
Hemispatial neglect2007
Hemispatial neglect2007Hemispatial neglect2007
Hemispatial neglect2007Tris Matthews
 
Examples for leverage points
Examples for leverage pointsExamples for leverage points
Examples for leverage pointsGeorges Grinstein
 
The Role of Pre-Attention in UI Design
The Role of Pre-Attention in UI DesignThe Role of Pre-Attention in UI Design
The Role of Pre-Attention in UI DesignStephen Denning
 
Sensation Part 4
Sensation Part 4Sensation Part 4
Sensation Part 4Sam Georgi
 
Lecture3:Chapter5-Perception..Dr.Anna
Lecture3:Chapter5-Perception..Dr.AnnaLecture3:Chapter5-Perception..Dr.Anna
Lecture3:Chapter5-Perception..Dr.AnnaAHS_student
 
Gestalt Laws
Gestalt LawsGestalt Laws
Gestalt LawsNIELITA
 
Yahya assignment 4
Yahya   assignment 4Yahya   assignment 4
Yahya assignment 4ygong
 

Andere mochten auch (16)

Lecture 5 Data Visualisation
Lecture 5 Data VisualisationLecture 5 Data Visualisation
Lecture 5 Data Visualisation
 
UCD 2013 - Shapes & Patterns: The Role of Pre-Attentive Psychology in Design
UCD 2013 - Shapes & Patterns: The Role of Pre-Attentive Psychology in DesignUCD 2013 - Shapes & Patterns: The Role of Pre-Attentive Psychology in Design
UCD 2013 - Shapes & Patterns: The Role of Pre-Attentive Psychology in Design
 
Introduction to Data Visualization
Introduction to Data Visualization Introduction to Data Visualization
Introduction to Data Visualization
 
Information Visualization - not just eye candy
Information Visualization - not just eye candyInformation Visualization - not just eye candy
Information Visualization - not just eye candy
 
SLA Nov2009 Public
SLA Nov2009 PublicSLA Nov2009 Public
SLA Nov2009 Public
 
Integration theory short.wmv - copy (2)
Integration theory   short.wmv - copy (2)Integration theory   short.wmv - copy (2)
Integration theory short.wmv - copy (2)
 
The Feature-Integration of Attention_Jing
The Feature-Integration of Attention_JingThe Feature-Integration of Attention_Jing
The Feature-Integration of Attention_Jing
 
Seeing Software
Seeing SoftwareSeeing Software
Seeing Software
 
Hemispatial neglect2007
Hemispatial neglect2007Hemispatial neglect2007
Hemispatial neglect2007
 
Examples for leverage points
Examples for leverage pointsExamples for leverage points
Examples for leverage points
 
The Role of Pre-Attention in UI Design
The Role of Pre-Attention in UI DesignThe Role of Pre-Attention in UI Design
The Role of Pre-Attention in UI Design
 
Data Viz CE 2014 Toolbox
Data Viz CE 2014 ToolboxData Viz CE 2014 Toolbox
Data Viz CE 2014 Toolbox
 
Sensation Part 4
Sensation Part 4Sensation Part 4
Sensation Part 4
 
Lecture3:Chapter5-Perception..Dr.Anna
Lecture3:Chapter5-Perception..Dr.AnnaLecture3:Chapter5-Perception..Dr.Anna
Lecture3:Chapter5-Perception..Dr.Anna
 
Gestalt Laws
Gestalt LawsGestalt Laws
Gestalt Laws
 
Yahya assignment 4
Yahya   assignment 4Yahya   assignment 4
Yahya assignment 4
 

Ähnlich wie Visual thinking colin_ware_lectures_2013_14_pre-attentive processing and highlighting information

Texture and Glyph Design
Texture and Glyph DesignTexture and Glyph Design
Texture and Glyph DesignMike Crabb
 
Image segmentation ajal
Image segmentation ajalImage segmentation ajal
Image segmentation ajalAJAL A J
 
7.traffic sign detection and recognition
7.traffic sign detection and recognition7.traffic sign detection and recognition
7.traffic sign detection and recognitionEditorJST
 
CS 354 Blending, Compositing, Anti-aliasing
CS 354 Blending, Compositing, Anti-aliasingCS 354 Blending, Compositing, Anti-aliasing
CS 354 Blending, Compositing, Anti-aliasingMark Kilgard
 
Visualization Methods Overview Presentation Cambridge University Eppler Septe...
Visualization Methods Overview Presentation Cambridge University Eppler Septe...Visualization Methods Overview Presentation Cambridge University Eppler Septe...
Visualization Methods Overview Presentation Cambridge University Eppler Septe...epplerm
 
Making sense of data visually: A modern look at datavisualization
Making sense of data visually: A modern look at datavisualizationMaking sense of data visually: A modern look at datavisualization
Making sense of data visually: A modern look at datavisualizationVladimir Milev
 
Feature selection approach in animal classification
Feature selection approach in animal classificationFeature selection approach in animal classification
Feature selection approach in animal classificationsipij
 
Importance of Mean Shift in Remote Sensing Segmentation
Importance of Mean Shift in Remote Sensing SegmentationImportance of Mean Shift in Remote Sensing Segmentation
Importance of Mean Shift in Remote Sensing SegmentationIOSR Journals
 
Review of Image Segmentation Techniques based on Region Merging Approach
Review of Image Segmentation Techniques based on Region Merging ApproachReview of Image Segmentation Techniques based on Region Merging Approach
Review of Image Segmentation Techniques based on Region Merging ApproachEditor IJMTER
 
Evaluating the Perceptual Impact of Rendering Techniques on Thematic Color Ma...
Evaluating the Perceptual Impact of Rendering Techniques on Thematic Color Ma...Evaluating the Perceptual Impact of Rendering Techniques on Thematic Color Ma...
Evaluating the Perceptual Impact of Rendering Techniques on Thematic Color Ma...Matthias Trapp
 
Formations & Deformations of Social Network Graphs
Formations & Deformations of Social Network GraphsFormations & Deformations of Social Network Graphs
Formations & Deformations of Social Network GraphsShalin Hai-Jew
 
Feature Extraction of Gesture Recognition Based on Image Analysis for Differe...
Feature Extraction of Gesture Recognition Based on Image Analysis for Differe...Feature Extraction of Gesture Recognition Based on Image Analysis for Differe...
Feature Extraction of Gesture Recognition Based on Image Analysis for Differe...IJERA Editor
 
Feature Extraction of Gesture Recognition Based on Image Analysis for Differe...
Feature Extraction of Gesture Recognition Based on Image Analysis for Differe...Feature Extraction of Gesture Recognition Based on Image Analysis for Differe...
Feature Extraction of Gesture Recognition Based on Image Analysis for Differe...IJERA Editor
 
Pollination based optimization for color image segmentation
Pollination based optimization for color image segmentationPollination based optimization for color image segmentation
Pollination based optimization for color image segmentationIAEME Publication
 
VISUAL AND DIGITAL IMAGE PROCESSING.pptx
VISUAL AND DIGITAL IMAGE PROCESSING.pptxVISUAL AND DIGITAL IMAGE PROCESSING.pptx
VISUAL AND DIGITAL IMAGE PROCESSING.pptxthanga2
 
Jarrar.lecture notes.aai.2011s.ch3.uniformedsearch
Jarrar.lecture notes.aai.2011s.ch3.uniformedsearchJarrar.lecture notes.aai.2011s.ch3.uniformedsearch
Jarrar.lecture notes.aai.2011s.ch3.uniformedsearchPalGov
 

Ähnlich wie Visual thinking colin_ware_lectures_2013_14_pre-attentive processing and highlighting information (20)

Texture and Glyph Design
Texture and Glyph DesignTexture and Glyph Design
Texture and Glyph Design
 
Image segmentation ajal
Image segmentation ajalImage segmentation ajal
Image segmentation ajal
 
C1104011322
C1104011322C1104011322
C1104011322
 
7.traffic sign detection and recognition
7.traffic sign detection and recognition7.traffic sign detection and recognition
7.traffic sign detection and recognition
 
CS 354 Blending, Compositing, Anti-aliasing
CS 354 Blending, Compositing, Anti-aliasingCS 354 Blending, Compositing, Anti-aliasing
CS 354 Blending, Compositing, Anti-aliasing
 
Visualization Methods Overview Presentation Cambridge University Eppler Septe...
Visualization Methods Overview Presentation Cambridge University Eppler Septe...Visualization Methods Overview Presentation Cambridge University Eppler Septe...
Visualization Methods Overview Presentation Cambridge University Eppler Septe...
 
Glyph-Placement-Strategy
Glyph-Placement-StrategyGlyph-Placement-Strategy
Glyph-Placement-Strategy
 
Making sense of data visually: A modern look at datavisualization
Making sense of data visually: A modern look at datavisualizationMaking sense of data visually: A modern look at datavisualization
Making sense of data visually: A modern look at datavisualization
 
Feature selection approach in animal classification
Feature selection approach in animal classificationFeature selection approach in animal classification
Feature selection approach in animal classification
 
Importance of Mean Shift in Remote Sensing Segmentation
Importance of Mean Shift in Remote Sensing SegmentationImportance of Mean Shift in Remote Sensing Segmentation
Importance of Mean Shift in Remote Sensing Segmentation
 
Review of Image Segmentation Techniques based on Region Merging Approach
Review of Image Segmentation Techniques based on Region Merging ApproachReview of Image Segmentation Techniques based on Region Merging Approach
Review of Image Segmentation Techniques based on Region Merging Approach
 
Evaluating the Perceptual Impact of Rendering Techniques on Thematic Color Ma...
Evaluating the Perceptual Impact of Rendering Techniques on Thematic Color Ma...Evaluating the Perceptual Impact of Rendering Techniques on Thematic Color Ma...
Evaluating the Perceptual Impact of Rendering Techniques on Thematic Color Ma...
 
Formations & Deformations of Social Network Graphs
Formations & Deformations of Social Network GraphsFormations & Deformations of Social Network Graphs
Formations & Deformations of Social Network Graphs
 
Feature Extraction of Gesture Recognition Based on Image Analysis for Differe...
Feature Extraction of Gesture Recognition Based on Image Analysis for Differe...Feature Extraction of Gesture Recognition Based on Image Analysis for Differe...
Feature Extraction of Gesture Recognition Based on Image Analysis for Differe...
 
Feature Extraction of Gesture Recognition Based on Image Analysis for Differe...
Feature Extraction of Gesture Recognition Based on Image Analysis for Differe...Feature Extraction of Gesture Recognition Based on Image Analysis for Differe...
Feature Extraction of Gesture Recognition Based on Image Analysis for Differe...
 
Pollination based optimization for color image segmentation
Pollination based optimization for color image segmentationPollination based optimization for color image segmentation
Pollination based optimization for color image segmentation
 
A04430105
A04430105A04430105
A04430105
 
B01460713
B01460713B01460713
B01460713
 
VISUAL AND DIGITAL IMAGE PROCESSING.pptx
VISUAL AND DIGITAL IMAGE PROCESSING.pptxVISUAL AND DIGITAL IMAGE PROCESSING.pptx
VISUAL AND DIGITAL IMAGE PROCESSING.pptx
 
Jarrar.lecture notes.aai.2011s.ch3.uniformedsearch
Jarrar.lecture notes.aai.2011s.ch3.uniformedsearchJarrar.lecture notes.aai.2011s.ch3.uniformedsearch
Jarrar.lecture notes.aai.2011s.ch3.uniformedsearch
 

Mehr von Elsa von Licy

Styles of Scientific Reasoning, Scientific Practices and Argument in Science ...
Styles of Scientific Reasoning, Scientific Practices and Argument in Science ...Styles of Scientific Reasoning, Scientific Practices and Argument in Science ...
Styles of Scientific Reasoning, Scientific Practices and Argument in Science ...Elsa von Licy
 
Strategie Decisions Incertitude Actes conference fnege xerfi
Strategie Decisions Incertitude Actes conference fnege xerfiStrategie Decisions Incertitude Actes conference fnege xerfi
Strategie Decisions Incertitude Actes conference fnege xerfiElsa von Licy
 
Neuropsychophysiologie
NeuropsychophysiologieNeuropsychophysiologie
NeuropsychophysiologieElsa von Licy
 
L agressivite en psychanalyse (21 pages 184 ko)
L agressivite en psychanalyse (21 pages   184 ko)L agressivite en psychanalyse (21 pages   184 ko)
L agressivite en psychanalyse (21 pages 184 ko)Elsa von Licy
 
C1 clef pour_la_neuro
C1 clef pour_la_neuroC1 clef pour_la_neuro
C1 clef pour_la_neuroElsa von Licy
 
Vuillez jean philippe_p01
Vuillez jean philippe_p01Vuillez jean philippe_p01
Vuillez jean philippe_p01Elsa von Licy
 
Spr ue3.1 poly cours et exercices
Spr ue3.1   poly cours et exercicesSpr ue3.1   poly cours et exercices
Spr ue3.1 poly cours et exercicesElsa von Licy
 
Plan de cours all l1 l2l3m1m2 p
Plan de cours all l1 l2l3m1m2 pPlan de cours all l1 l2l3m1m2 p
Plan de cours all l1 l2l3m1m2 pElsa von Licy
 
Bioph pharm 1an-viscosit-des_liquides_et_des_solutions
Bioph pharm 1an-viscosit-des_liquides_et_des_solutionsBioph pharm 1an-viscosit-des_liquides_et_des_solutions
Bioph pharm 1an-viscosit-des_liquides_et_des_solutionsElsa von Licy
 
Poly histologie-et-embryologie-medicales
Poly histologie-et-embryologie-medicalesPoly histologie-et-embryologie-medicales
Poly histologie-et-embryologie-medicalesElsa von Licy
 
Methodes travail etudiants
Methodes travail etudiantsMethodes travail etudiants
Methodes travail etudiantsElsa von Licy
 
Atelier.etude.efficace
Atelier.etude.efficaceAtelier.etude.efficace
Atelier.etude.efficaceElsa von Licy
 
There is no_such_thing_as_a_social_science_intro
There is no_such_thing_as_a_social_science_introThere is no_such_thing_as_a_social_science_intro
There is no_such_thing_as_a_social_science_introElsa von Licy
 

Mehr von Elsa von Licy (20)

Styles of Scientific Reasoning, Scientific Practices and Argument in Science ...
Styles of Scientific Reasoning, Scientific Practices and Argument in Science ...Styles of Scientific Reasoning, Scientific Practices and Argument in Science ...
Styles of Scientific Reasoning, Scientific Practices and Argument in Science ...
 
Strategie Decisions Incertitude Actes conference fnege xerfi
Strategie Decisions Incertitude Actes conference fnege xerfiStrategie Decisions Incertitude Actes conference fnege xerfi
Strategie Decisions Incertitude Actes conference fnege xerfi
 
Rainville pierre
Rainville pierreRainville pierre
Rainville pierre
 
Neuropsychophysiologie
NeuropsychophysiologieNeuropsychophysiologie
Neuropsychophysiologie
 
L agressivite en psychanalyse (21 pages 184 ko)
L agressivite en psychanalyse (21 pages   184 ko)L agressivite en psychanalyse (21 pages   184 ko)
L agressivite en psychanalyse (21 pages 184 ko)
 
C1 clef pour_la_neuro
C1 clef pour_la_neuroC1 clef pour_la_neuro
C1 clef pour_la_neuro
 
Hemostase polycop
Hemostase polycopHemostase polycop
Hemostase polycop
 
Antiphilos
AntiphilosAntiphilos
Antiphilos
 
Vuillez jean philippe_p01
Vuillez jean philippe_p01Vuillez jean philippe_p01
Vuillez jean philippe_p01
 
Spr ue3.1 poly cours et exercices
Spr ue3.1   poly cours et exercicesSpr ue3.1   poly cours et exercices
Spr ue3.1 poly cours et exercices
 
Plan de cours all l1 l2l3m1m2 p
Plan de cours all l1 l2l3m1m2 pPlan de cours all l1 l2l3m1m2 p
Plan de cours all l1 l2l3m1m2 p
 
M2 bmc2007 cours01
M2 bmc2007 cours01M2 bmc2007 cours01
M2 bmc2007 cours01
 
Feuilletage
FeuilletageFeuilletage
Feuilletage
 
Chapitre 1
Chapitre 1Chapitre 1
Chapitre 1
 
Biophy
BiophyBiophy
Biophy
 
Bioph pharm 1an-viscosit-des_liquides_et_des_solutions
Bioph pharm 1an-viscosit-des_liquides_et_des_solutionsBioph pharm 1an-viscosit-des_liquides_et_des_solutions
Bioph pharm 1an-viscosit-des_liquides_et_des_solutions
 
Poly histologie-et-embryologie-medicales
Poly histologie-et-embryologie-medicalesPoly histologie-et-embryologie-medicales
Poly histologie-et-embryologie-medicales
 
Methodes travail etudiants
Methodes travail etudiantsMethodes travail etudiants
Methodes travail etudiants
 
Atelier.etude.efficace
Atelier.etude.efficaceAtelier.etude.efficace
Atelier.etude.efficace
 
There is no_such_thing_as_a_social_science_intro
There is no_such_thing_as_a_social_science_introThere is no_such_thing_as_a_social_science_intro
There is no_such_thing_as_a_social_science_intro
 

Kürzlich hochgeladen

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEarley Information Science
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 

Kürzlich hochgeladen (20)

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 

Visual thinking colin_ware_lectures_2013_14_pre-attentive processing and highlighting information

Hinweis der Redaktion

  1. Low Level: Basic feature analys – determines what is seen with minimal effort Mid 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.