SlideShare una empresa de Scribd logo
1 de 24
VISUAL ATTENTION
       Satu Ilta
     Anna Kalme
      Dan Qin
Agenda
1. What is visual attention?

2. Pre-attentive perception

3. Focus

4. Saccades

5. Fixation

6. Tunnel vision

7. Conclusions
Experiment




There is only so much the brain can process at a particular time
What is visual attention?
• Our brain cannot process everything, so we must attend to something
  to be able to act upon visual input
• Four types of seeing with different levels of attention
   ( from Wolfe j. Visual attention In: De Valois KK, editor. Seeing. 2nd ed. San Diego, CA: Academic Press; 2000. p. 335-386)
Example of change blindness




Our visual memory is not as accurate as we might think
PRE-ATTENTIVE PERCEPTION
Pre-attentive perception
• The unconscious accumulation of information from the
  environment.

• All available information is pre-attentively processed. Then,
  the brain filters and processes what is important.



E.p We are hardwired to be able to notice color changes in our
environment, and not just consciously, but without thinking.
FOCUS
Focus
• Retinal cone cells are packed tightly in a small region called fovea.
• The fovea is only about 1% of the retina, but the brain’s visual cortex
  devotes about 50% of its area to input from the fovea.
• Information from the visual periphery is compressed (with data loss)
  before transmission to the brain, while information from the fovea is not.
• All this causes our vision to have much greater resolution
  in the center of our visual field than elsewhere.




                                                                                               On a digital camera’s photo sensor, photo-receptive
The spatial resolution of the human visual field drops greatly from the center to the edges.   elements are spread uniformly in a tight matrix, so the
                                                                                               spatial resolution is constant across the entire image
                                                                                               frame. The human visual system is not like that.
Test
• Hold your arm straight out and look at your thumb.
• Your thumbnail, viewed at arm’s length, corresponds approximately to the
  fovea.
• While you have your eyes focused on the thumbnail, everything else
  in your visual field falls outside of your fovea on your retina.




The resolution of our our visual field is high in the center but much lower at the edges.
SACCADES
Saccades
• Why do we then see our surroundings sharply and clearly all around us?
• We constantly make eye movements – saccades – to focus our fovea.
• These saccadic movements are frequent, between two and five
  jerky movements per second.
• During the course of a saccadic eye movement,
  we are less sensitive to visual input than we normally are.




Our eyes move rapidly and constantly about three times per second even when
we don’t realize it, focusing our fovea on selected pieces of our environment.
Implications 1
• Everything on the screen that is not within 1–2 centimeters of the click
  location is in peripheral vision, where resolution is low.
• This why software and Web site users fail to notice error messages.
• Common and well-known methods for fixing this:
   • Put it where users are looking
   • Mark the error
   • Use an error symbol
   • Reserve red for errors
   • Use sound (e.g. beep)
   • Flash or wiggle briefly
Implications 2
• We use words focus and periphery in every day speech
• Peripheral vision integrates us with space,        Architectural and
  while focused vision pushes us out of the space    urban settings of
                                                     our time tend to

• In editing movie clips (especially) with motion
                                                     make us feel like
                                                     outsiders,
                                                     in comparison
• UFOV = Useful field of vision                      with the forceful
                                                     emotional
                                                                        engagement of
                                                                        natural and
                                                                        historical settings.




UFOV: The area from which one can extract visual
information in a brief glance without head or eye
movement. The limits of this area are reduced by
poor vision, difficulty dividing attention and/or
ignoring distraction, and slower processing ability.    End of a clip              Start of a new clip
FIXATION
Fixation
• Fixation or visual fixation is the maintaining of the visual gaze
  on a single location.
• Humans (and other animals with a fovea) typically alternate
  saccades and visual fixations, the notable exception being in
  smooth pursuit, controlled by a different neural substrate
  that appear to have developed for hunting prey.
• Contrary to the old view, fixations are not simply the absence
  of eye movement; they are made up of much smaller
  movements. This is because should your eye be truly still,
  you would not actually be able to see as no neurons would
  fire.
After a few seconds, the image on the retina fades, thus showing
that eye movements are needed to maintain visibility; there are
three types of eye movements that support fixations.

• Micro saccades
  a miniature saccade, a movement that corrects ocular drift
  and prevents fading. They are small, jerk-like, involuntary eye
  movements, similar to miniature versions of voluntary
  saccades.
• Ocular drifts
  are slow, random eye movements that drift away from the
  target of interest, and are said to be a consequence of neural
  noise.
• Ocular microtremor
  are high frequency tremors of the eye, constant during the
  fixation period.
Heat maps of individual fixations
Fixation implications
                  Users won't read your text
                  thoroughly in a word-by-
                  word manner.

                  The first two paragraphs
                  must state the most
                  important information

                  Start subheads,
                  paragraphs, and bullet
                  points with information-
                  carrying words that users
                  will notice when scanning
                  down the left side of your
                  content in the final stem of
                  their F-behavior.
Tunnel vision
• Useful field of view = the size of the region from which we
  can rapidly take on information
• When cognitive load goes up, the UFOV shrinks
• Tunnel vision occurs especially in highly stressful situations
• Also caused by some
  diseases, alcohol
  consumption, and adrenaline
  peaks
• Can also happen in search
  tasks: Focusing on a narrow
  area
    Items that contextually belong
     together should be placed close
     to each other
Example of tunnel vision




In this example, UI testing revealed an inability to
          spot the year in the first design
Conclusions
• Visual attention helps us to choose to which stimuli should we
  attend to and act upon
• Cannot attend to everything  leads to perceptional flaws
   – In general, we don’t see things we don’t expect to see
   – We neither see things in places in which we don’t expect to see them
   – Our visual memory isn’t accurate, changes are hard to spot
• Key terms
   – Pre-attentive perception: Perceiving before paying attention
   – Focus: Vision has a sharp resolution only in the center of our visual field
   – Saccades: We constantly make eye movements to see our surroundings
     sharply
   – Fixation: Maintaining of the visual gaze on a single location
   – Tunnel vision: Useful field of view shrinks causing us to omit information
     in the peripheral area of our visual field
THANKS!

Más contenido relacionado

La actualidad más candente

CS6010 Social Network Analysis Unit II
CS6010 Social Network Analysis   Unit IICS6010 Social Network Analysis   Unit II
CS6010 Social Network Analysis Unit IIpkaviya
 
Smoothing Filters in Spatial Domain
Smoothing Filters in Spatial DomainSmoothing Filters in Spatial Domain
Smoothing Filters in Spatial DomainMadhu Bala
 
Independent Component Analysis
Independent Component AnalysisIndependent Component Analysis
Independent Component AnalysisTatsuya Yokota
 
Lecture 9 understanding requirements
Lecture 9   understanding requirementsLecture 9   understanding requirements
Lecture 9 understanding requirementsIIUI
 
From logistic regression to linear chain CRF
From logistic regression to linear chain CRFFrom logistic regression to linear chain CRF
From logistic regression to linear chain CRFDarren Yow-Bang Wang
 
Fuzzy rules and fuzzy reasoning
Fuzzy rules and fuzzy reasoningFuzzy rules and fuzzy reasoning
Fuzzy rules and fuzzy reasoningVeni7
 
Introduction to Image Processing:Image Modalities
Introduction to Image Processing:Image ModalitiesIntroduction to Image Processing:Image Modalities
Introduction to Image Processing:Image ModalitiesKalyan Acharjya
 
Convolutional Neural Network (CNN)
Convolutional Neural Network (CNN)Convolutional Neural Network (CNN)
Convolutional Neural Network (CNN)Muhammad Haroon
 
Deep Learning A-Z™: Artificial Neural Networks (ANN) - Plan of Attack
Deep Learning A-Z™: Artificial Neural Networks (ANN) - Plan of AttackDeep Learning A-Z™: Artificial Neural Networks (ANN) - Plan of Attack
Deep Learning A-Z™: Artificial Neural Networks (ANN) - Plan of AttackKirill Eremenko
 
Neural Networks: Rosenblatt's Perceptron
Neural Networks: Rosenblatt's PerceptronNeural Networks: Rosenblatt's Perceptron
Neural Networks: Rosenblatt's PerceptronMostafa G. M. Mostafa
 
Popular search algorithms
Popular search algorithmsPopular search algorithms
Popular search algorithmsMinakshi Atre
 
Medical Image Synthesis with Improved Cycle-GAN: CT from CECT
Medical Image Synthesis with Improved Cycle-GAN: CT from CECT Medical Image Synthesis with Improved Cycle-GAN: CT from CECT
Medical Image Synthesis with Improved Cycle-GAN: CT from CECT BoahKim2
 
Image Restoration
Image RestorationImage Restoration
Image RestorationPoonam Seth
 
Neural networks...
Neural networks...Neural networks...
Neural networks...Molly Chugh
 

La actualidad más candente (20)

Neural style transfer
Neural style transferNeural style transfer
Neural style transfer
 
CS6010 Social Network Analysis Unit II
CS6010 Social Network Analysis   Unit IICS6010 Social Network Analysis   Unit II
CS6010 Social Network Analysis Unit II
 
Smoothing Filters in Spatial Domain
Smoothing Filters in Spatial DomainSmoothing Filters in Spatial Domain
Smoothing Filters in Spatial Domain
 
Introduction to soft computing
 Introduction to soft computing Introduction to soft computing
Introduction to soft computing
 
Independent Component Analysis
Independent Component AnalysisIndependent Component Analysis
Independent Component Analysis
 
Lecture 9 understanding requirements
Lecture 9   understanding requirementsLecture 9   understanding requirements
Lecture 9 understanding requirements
 
From logistic regression to linear chain CRF
From logistic regression to linear chain CRFFrom logistic regression to linear chain CRF
From logistic regression to linear chain CRF
 
Fuzzy rules and fuzzy reasoning
Fuzzy rules and fuzzy reasoningFuzzy rules and fuzzy reasoning
Fuzzy rules and fuzzy reasoning
 
Introduction to Image Processing:Image Modalities
Introduction to Image Processing:Image ModalitiesIntroduction to Image Processing:Image Modalities
Introduction to Image Processing:Image Modalities
 
Convolutional Neural Network (CNN)
Convolutional Neural Network (CNN)Convolutional Neural Network (CNN)
Convolutional Neural Network (CNN)
 
Deep Learning A-Z™: Artificial Neural Networks (ANN) - Plan of Attack
Deep Learning A-Z™: Artificial Neural Networks (ANN) - Plan of AttackDeep Learning A-Z™: Artificial Neural Networks (ANN) - Plan of Attack
Deep Learning A-Z™: Artificial Neural Networks (ANN) - Plan of Attack
 
Image restoration
Image restorationImage restoration
Image restoration
 
Neural Networks: Rosenblatt's Perceptron
Neural Networks: Rosenblatt's PerceptronNeural Networks: Rosenblatt's Perceptron
Neural Networks: Rosenblatt's Perceptron
 
Popular search algorithms
Popular search algorithmsPopular search algorithms
Popular search algorithms
 
Medical Image Synthesis with Improved Cycle-GAN: CT from CECT
Medical Image Synthesis with Improved Cycle-GAN: CT from CECT Medical Image Synthesis with Improved Cycle-GAN: CT from CECT
Medical Image Synthesis with Improved Cycle-GAN: CT from CECT
 
DOM and SAX
DOM and SAXDOM and SAX
DOM and SAX
 
Multimedia Information Retrieval
Multimedia Information RetrievalMultimedia Information Retrieval
Multimedia Information Retrieval
 
Image Restoration
Image RestorationImage Restoration
Image Restoration
 
Neural networks...
Neural networks...Neural networks...
Neural networks...
 
Slides chapter 2
Slides chapter 2Slides chapter 2
Slides chapter 2
 

Destacado

Visual Attention & Processing with Visual-Only IM
Visual Attention & Processing with Visual-Only IMVisual Attention & Processing with Visual-Only IM
Visual Attention & Processing with Visual-Only IMInteractive Metronome
 
Visual Saliency: Learning to Detect Salient Objects
Visual Saliency: Learning to Detect Salient ObjectsVisual Saliency: Learning to Detect Salient Objects
Visual Saliency: Learning to Detect Salient ObjectsVicente Ordonez
 
08d visual signal processing color vision
08d visual signal processing color vision08d visual signal processing color vision
08d visual signal processing color visionPS Deb
 
Visual attention: models and performance
Visual attention: models and performanceVisual attention: models and performance
Visual attention: models and performanceOlivier Le Meur
 

Destacado (6)

Visual Attention & Processing with Visual-Only IM
Visual Attention & Processing with Visual-Only IMVisual Attention & Processing with Visual-Only IM
Visual Attention & Processing with Visual-Only IM
 
Visual Saliency: Learning to Detect Salient Objects
Visual Saliency: Learning to Detect Salient ObjectsVisual Saliency: Learning to Detect Salient Objects
Visual Saliency: Learning to Detect Salient Objects
 
Chris Atherton at TCUK09
Chris Atherton at TCUK09Chris Atherton at TCUK09
Chris Atherton at TCUK09
 
08d visual signal processing color vision
08d visual signal processing color vision08d visual signal processing color vision
08d visual signal processing color vision
 
Visual attention: models and performance
Visual attention: models and performanceVisual attention: models and performance
Visual attention: models and performance
 
Information processing
Information processingInformation processing
Information processing
 

Similar a Visual attention

Blindness and Assistive Systems for Blind Navigation
Blindness and Assistive Systems for Blind NavigationBlindness and Assistive Systems for Blind Navigation
Blindness and Assistive Systems for Blind NavigationAshish Babu
 
OPT 203-GEOMETRIC OPTICS -2.pptx
OPT 203-GEOMETRIC OPTICS -2.pptxOPT 203-GEOMETRIC OPTICS -2.pptx
OPT 203-GEOMETRIC OPTICS -2.pptxRuchikaMaurya4
 
HUMAN EYE(STRUCTURE AND FUNCTIONS)pptx
HUMAN EYE(STRUCTURE AND FUNCTIONS)pptxHUMAN EYE(STRUCTURE AND FUNCTIONS)pptx
HUMAN EYE(STRUCTURE AND FUNCTIONS)pptxbaba300246
 
Accommodative and multifocal intraocular lenses
Accommodative and multifocal intraocular lensesAccommodative and multifocal intraocular lenses
Accommodative and multifocal intraocular lensesBijan Farpour
 
Chapter2hfam(human performance)
Chapter2hfam(human performance)Chapter2hfam(human performance)
Chapter2hfam(human performance)Amma Arraysid
 
Defect of vision
Defect of visionDefect of vision
Defect of visionHarsh10110
 
Elements of visual perception Eye vision .pptx
Elements of visual perception Eye  vision .pptxElements of visual perception Eye  vision .pptx
Elements of visual perception Eye vision .pptxssuser7ec6af
 
Image processing presentataion
Image processing presentataionImage processing presentataion
Image processing presentataionRafi Ullah
 
HUMAN EYE AND COLOURFUL WORLD.pdf
HUMAN EYE AND COLOURFUL WORLD.pdfHUMAN EYE AND COLOURFUL WORLD.pdf
HUMAN EYE AND COLOURFUL WORLD.pdfRajKumar100782
 
[L-3]- Eye- Nov 13, 2019.pdfnbnccncbcncbcnc
[L-3]- Eye- Nov 13, 2019.pdfnbnccncbcncbcnc[L-3]- Eye- Nov 13, 2019.pdfnbnccncbcncbcnc
[L-3]- Eye- Nov 13, 2019.pdfnbnccncbcncbcncbpkihsmbbs
 
Binocular vision and space perception
Binocular vision and space perceptionBinocular vision and space perception
Binocular vision and space perceptionSimiAfroz2
 
Elements of visual perception
Elements of visual perceptionElements of visual perception
Elements of visual perceptionDr INBAMALAR T M
 
lec 7 sensation.pptx
lec 7 sensation.pptxlec 7 sensation.pptx
lec 7 sensation.pptxTania233747
 
Binocular vision basics
Binocular vision basicsBinocular vision basics
Binocular vision basicsIsha Gupta
 
Human eye and the colourful world
Human eye and the colourful worldHuman eye and the colourful world
Human eye and the colourful worldaditya315
 

Similar a Visual attention (20)

Blindness and Assistive Systems for Blind Navigation
Blindness and Assistive Systems for Blind NavigationBlindness and Assistive Systems for Blind Navigation
Blindness and Assistive Systems for Blind Navigation
 
CGch-3.pptx
CGch-3.pptxCGch-3.pptx
CGch-3.pptx
 
OPT 203-GEOMETRIC OPTICS -2.pptx
OPT 203-GEOMETRIC OPTICS -2.pptxOPT 203-GEOMETRIC OPTICS -2.pptx
OPT 203-GEOMETRIC OPTICS -2.pptx
 
HUMAN EYE(STRUCTURE AND FUNCTIONS)pptx
HUMAN EYE(STRUCTURE AND FUNCTIONS)pptxHUMAN EYE(STRUCTURE AND FUNCTIONS)pptx
HUMAN EYE(STRUCTURE AND FUNCTIONS)pptx
 
Accommodative and multifocal intraocular lenses
Accommodative and multifocal intraocular lensesAccommodative and multifocal intraocular lenses
Accommodative and multifocal intraocular lenses
 
Chapter2hfam(human performance)
Chapter2hfam(human performance)Chapter2hfam(human performance)
Chapter2hfam(human performance)
 
Defect of vision
Defect of visionDefect of vision
Defect of vision
 
Mutifocal iols
Mutifocal iolsMutifocal iols
Mutifocal iols
 
Elements of visual perception Eye vision .pptx
Elements of visual perception Eye  vision .pptxElements of visual perception Eye  vision .pptx
Elements of visual perception Eye vision .pptx
 
Human eye 2014
Human eye 2014Human eye 2014
Human eye 2014
 
EYE 1.pptx
EYE 1.pptxEYE 1.pptx
EYE 1.pptx
 
Image processing presentataion
Image processing presentataionImage processing presentataion
Image processing presentataion
 
Physiology of sight and the eye
Physiology of sight and the eyePhysiology of sight and the eye
Physiology of sight and the eye
 
HUMAN EYE AND COLOURFUL WORLD.pdf
HUMAN EYE AND COLOURFUL WORLD.pdfHUMAN EYE AND COLOURFUL WORLD.pdf
HUMAN EYE AND COLOURFUL WORLD.pdf
 
[L-3]- Eye- Nov 13, 2019.pdfnbnccncbcncbcnc
[L-3]- Eye- Nov 13, 2019.pdfnbnccncbcncbcnc[L-3]- Eye- Nov 13, 2019.pdfnbnccncbcncbcnc
[L-3]- Eye- Nov 13, 2019.pdfnbnccncbcncbcnc
 
Binocular vision and space perception
Binocular vision and space perceptionBinocular vision and space perception
Binocular vision and space perception
 
Elements of visual perception
Elements of visual perceptionElements of visual perception
Elements of visual perception
 
lec 7 sensation.pptx
lec 7 sensation.pptxlec 7 sensation.pptx
lec 7 sensation.pptx
 
Binocular vision basics
Binocular vision basicsBinocular vision basics
Binocular vision basics
 
Human eye and the colourful world
Human eye and the colourful worldHuman eye and the colourful world
Human eye and the colourful world
 

Visual attention

  • 1. VISUAL ATTENTION Satu Ilta Anna Kalme Dan Qin
  • 2. Agenda 1. What is visual attention? 2. Pre-attentive perception 3. Focus 4. Saccades 5. Fixation 6. Tunnel vision 7. Conclusions
  • 3. Experiment There is only so much the brain can process at a particular time
  • 4. What is visual attention? • Our brain cannot process everything, so we must attend to something to be able to act upon visual input • Four types of seeing with different levels of attention ( from Wolfe j. Visual attention In: De Valois KK, editor. Seeing. 2nd ed. San Diego, CA: Academic Press; 2000. p. 335-386)
  • 5. Example of change blindness Our visual memory is not as accurate as we might think
  • 7. Pre-attentive perception • The unconscious accumulation of information from the environment. • All available information is pre-attentively processed. Then, the brain filters and processes what is important. E.p We are hardwired to be able to notice color changes in our environment, and not just consciously, but without thinking.
  • 8.
  • 10. Focus • Retinal cone cells are packed tightly in a small region called fovea. • The fovea is only about 1% of the retina, but the brain’s visual cortex devotes about 50% of its area to input from the fovea. • Information from the visual periphery is compressed (with data loss) before transmission to the brain, while information from the fovea is not. • All this causes our vision to have much greater resolution in the center of our visual field than elsewhere. On a digital camera’s photo sensor, photo-receptive The spatial resolution of the human visual field drops greatly from the center to the edges. elements are spread uniformly in a tight matrix, so the spatial resolution is constant across the entire image frame. The human visual system is not like that.
  • 11. Test • Hold your arm straight out and look at your thumb. • Your thumbnail, viewed at arm’s length, corresponds approximately to the fovea. • While you have your eyes focused on the thumbnail, everything else in your visual field falls outside of your fovea on your retina. The resolution of our our visual field is high in the center but much lower at the edges.
  • 13. Saccades • Why do we then see our surroundings sharply and clearly all around us? • We constantly make eye movements – saccades – to focus our fovea. • These saccadic movements are frequent, between two and five jerky movements per second. • During the course of a saccadic eye movement, we are less sensitive to visual input than we normally are. Our eyes move rapidly and constantly about three times per second even when we don’t realize it, focusing our fovea on selected pieces of our environment.
  • 14. Implications 1 • Everything on the screen that is not within 1–2 centimeters of the click location is in peripheral vision, where resolution is low. • This why software and Web site users fail to notice error messages. • Common and well-known methods for fixing this: • Put it where users are looking • Mark the error • Use an error symbol • Reserve red for errors • Use sound (e.g. beep) • Flash or wiggle briefly
  • 15. Implications 2 • We use words focus and periphery in every day speech • Peripheral vision integrates us with space, Architectural and while focused vision pushes us out of the space urban settings of our time tend to • In editing movie clips (especially) with motion make us feel like outsiders, in comparison • UFOV = Useful field of vision with the forceful emotional engagement of natural and historical settings. UFOV: The area from which one can extract visual information in a brief glance without head or eye movement. The limits of this area are reduced by poor vision, difficulty dividing attention and/or ignoring distraction, and slower processing ability. End of a clip Start of a new clip
  • 17. Fixation • Fixation or visual fixation is the maintaining of the visual gaze on a single location. • Humans (and other animals with a fovea) typically alternate saccades and visual fixations, the notable exception being in smooth pursuit, controlled by a different neural substrate that appear to have developed for hunting prey. • Contrary to the old view, fixations are not simply the absence of eye movement; they are made up of much smaller movements. This is because should your eye be truly still, you would not actually be able to see as no neurons would fire.
  • 18. After a few seconds, the image on the retina fades, thus showing that eye movements are needed to maintain visibility; there are three types of eye movements that support fixations. • Micro saccades a miniature saccade, a movement that corrects ocular drift and prevents fading. They are small, jerk-like, involuntary eye movements, similar to miniature versions of voluntary saccades. • Ocular drifts are slow, random eye movements that drift away from the target of interest, and are said to be a consequence of neural noise. • Ocular microtremor are high frequency tremors of the eye, constant during the fixation period.
  • 19. Heat maps of individual fixations
  • 20. Fixation implications Users won't read your text thoroughly in a word-by- word manner. The first two paragraphs must state the most important information Start subheads, paragraphs, and bullet points with information- carrying words that users will notice when scanning down the left side of your content in the final stem of their F-behavior.
  • 21. Tunnel vision • Useful field of view = the size of the region from which we can rapidly take on information • When cognitive load goes up, the UFOV shrinks • Tunnel vision occurs especially in highly stressful situations • Also caused by some diseases, alcohol consumption, and adrenaline peaks • Can also happen in search tasks: Focusing on a narrow area  Items that contextually belong together should be placed close to each other
  • 22. Example of tunnel vision In this example, UI testing revealed an inability to spot the year in the first design
  • 23. Conclusions • Visual attention helps us to choose to which stimuli should we attend to and act upon • Cannot attend to everything  leads to perceptional flaws – In general, we don’t see things we don’t expect to see – We neither see things in places in which we don’t expect to see them – Our visual memory isn’t accurate, changes are hard to spot • Key terms – Pre-attentive perception: Perceiving before paying attention – Focus: Vision has a sharp resolution only in the center of our visual field – Saccades: We constantly make eye movements to see our surroundings sharply – Fixation: Maintaining of the visual gaze on a single location – Tunnel vision: Useful field of view shrinks causing us to omit information in the peripheral area of our visual field

Notas del editor

  1. It is much easier to count the “3's” in the second block of numbers than the first. This is because our brains process the color difference without us having to think about it.
  2. horizontal movement, usually across the upper part of the content areaNext, users move down the page a bit and then read across in a second horizontal movement that typically covers a shorter area than the previous movement. This additional element forms the F's lower bar.Finally, users scan the content's left side in a vertical movement