Focal attention in visual search Professor: Liu Student: Ruby.

Slides:



Advertisements
Similar presentations
Selective Visual Attention: Feature Integration Theory PS2009/10 Lecture 9.
Advertisements

Reminder: extra credit experiments
Study of Change Blindness EEG Synchronization using Wavelet Coherence Analysis Professor: Liu Student: Ruby.
Attention-Dependent Hemifield Asymmetries When Judging Numerosity Nestor Matthews & Sarah Theobald Department of Psychology, Denison University, Granville.
Perceptual Processes: Attention & Consciousness Dr. Claudia J. Stanny EXP 4507 Memory & Cognition Spring 2009.
Chapter 6: Visual Attention. Overview of Questions Why do we pay attention to some parts of a scene but not to others? Do we have to pay attention to.
Voluntary attention increases the phenomenal length of briefly flashed lines Masin S. C. University of Padua.
LOGO The role of attentional breadth in perceptual change detection Professor: Liu Student: Ruby.
Saccadic eye movements cause compression of time as well as space Concetta Morrone, Ross & Burr.
Chapter 6: Visual Attention. Scanning a Scene Visual scanning – looking from place to place –Fixation –Saccadic eye movement Overt attention involves.
Chapter 6: Visual Attention. Scanning a Scene Visual scanning – looking from place to place –Fixation –Saccadic eye movement Overt attention involves.
LOGO Effects of scene inversion on change detection of targets matched for visual salience Professor: Liu Student: Ruby.
Visual Hemifields and Perceptual Grouping Sarah Theobald & Nestor Matthews Department of Psychology, Denison University, Granville OH USA The human.
Features and Objects in Visual Processing
Visual Search: finding a single item in a cluttered visual scene.
Upcoming Stuff: Finish attention lectures this week No class Tuesday next week – What should you do instead? Start memory Thursday next week – Read Oliver.
Cognitive Processes PSY 334 Chapter 3 – Attention July 8, 2003.
Treisman Visual Search Demo. Visual Search Tasks  Can detect features without applying attention  But detecting stimulus conjunctions requires attention.
PSY 402 Theories of Learning Chapter 8 – Stimulus Control How Stimuli Guide Instrumental Action.
Representation of statistical properties 作 者: Sang Chul Chong, Anne Treisman 報告者:李正彥 日 期: 2006/3/23.
Visual search: Who cares?
Attention II Selective Attention & Visual Search.
Features and Object in Visual Processing. The Waterfall Illusion.
Cognitive Processes PSY 334 Chapter 3 – Attention July 10, 2003.
Attention II Theories of Attention Visual Search.
Features and Object in Visual Processing. The Waterfall Illusion.
Change blindness: Past, present, and future Professor: Liu Student: Ruby.
What information are people “seeing” when your web page pops up? By Shirley Retz.
Group 4. SURVIVAL!!!  For humans and other animals motion perception is essential for maneuvering in everyday life.  Approaching motion represents a.
Change blindness and time to consciousness Professor: Liu Student: Ruby.
Cognitive Processes PSY 334 Chapter 3 – Attention April 14, 2003.
1 Perception and VR MONT 104S, Fall 2008 Session 13 Visual Attention.
Change detection and occlusion modes in road-traffic scenarios Professor: Liu Student: Ruby.
Binding problems and feature integration theory. Feature detectors Neurons that fire to specific features of a stimulus Pathway away from retina shows.
A Review of “Iconic Memory Requires Attention” by Persuh, Genzer, & Melara (2012) By Richard Thripp EXP 6506 – University of Central Florida September.
Spatial coding of the Predicted Impact Location of a Looming* Object M. Neppi-Mòdona D. Auclair A.Sirigu J.-R. Duhamel.
Perception of Danger Signals: The Role of Control Jochen Brandtstadter, Andreas Voss, and Klaus Rothermund.
LOGO Change blindness in the absence of a visual disruption Professor: Liu Student: Ruby.
Temporary suppression of visual processing in an RSVP task: an attention blink? By Raymond, Shapiro, & Arnell JEP:HPP.
PSY 402 Theories of Learning Chapter 8 – Stimulus Control How Stimuli Guide Instrumental Action.
Traffic scene related change blindness in older drivers Professor: Liu Student: Ruby.
A Comparison of Methods for Estimating the Capacity of Visual Working Memory: Examination of Encoding Limitations Domagoj Švegar & Dražen Domijan
Cognitive approaches: Information processing, with the computer as a model.
Stimuli were presented on a 17 inch monitor (in a dimly lit room), operating at 60 Hz with a resolution of 1280 x Two objects of the same type (teapot.
Body Position Influences Maintenance of Objects in Visual Short-Term Memory Mia J. Branson, Joshua D. Cosman, and Shaun P. Vecera Department of Psychology,
LOGO Visual Attention in Driving: The Effects of Cognitive Load and Visual Disruption Professor: Liu Student: Ruby.
Assist. Prof. Dr. Ilmiye Seçer Fall
The Effects of Musical Mood and Musical Arousal on Visual Attention
Rapid and Persistent Adaptability of Human Oculomotor Control in Response to Simulated Central Vision Loss  MiYoung Kwon, Anirvan S. Nandy, Bosco S. Tjan 
Cognitive Processes PSY 334
Brain States: Top-Down Influences in Sensory Processing
Attention as a Limited Capacity Resource
Perception We have previously examined the sensory processes by which stimuli are encoded. Now we will examine the ultimate purpose of sensory information.
Minami Ito, Gerald Westheimer, Charles D Gilbert  Neuron 
Volume 51, Issue 1, Pages (July 2006)
Alteration of Visual Perception prior to Microsaccades
Colin J. Palmer, Colin W.G. Clifford  Current Biology 
Attentional Modulations Related to Spatial Gating but Not to Allocation of Limited Resources in Primate V1  Yuzhi Chen, Eyal Seidemann  Neuron  Volume.
Learning to Link Visual Contours
Attention Increases Sensitivity of V4 Neurons
Brain States: Top-Down Influences in Sensory Processing
Chapter 7 - Visual Attention
Voluntary Attention Modulates fMRI Activity in Human MT–MST
Serial, Covert Shifts of Attention during Visual Search Are Reflected by the Frontal Eye Fields and Correlated with Population Oscillations  Timothy J.
Visual Sensitivity Can Scale with Illusory Size Changes
The Normalization Model of Attention
Visuomotor Origins of Covert Spatial Attention
Social Attention and the Brain
The functional architecture of attention
A Visual Sense of Number
Presentation transcript:

Focal attention in visual search Professor: Liu Student: Ruby

Objective Using the direct measurements to treat the visual search operates in different modes (the serial and parallel processing).

References Certain targets are detected fast when search times are independent of the number of visual objects. (Neisser, 1967;Treisman & Gelade, 1980; Julesz, 1984; Treisman, 1985;Wolfe, 1994). The parallel and serial search properties can be obtained at the same set of target and non-target stimuli. (Duncan & Humphreys, 1989; Moraglia, 1989;Nothdurft, 1992)

References Visual search strategy was used found to depend on the local context in which the target is presented (Moraglia, 1989; Nothdurft, 1992, 1993b) and on the previous experience of the observer. (Sireteanu & Rettenbach, 1995).

Methods Participants: –Two female (16, and 18 years old ) –One male (25 years old) –The normal or corrected-to-normal visual acuity. –Two of them had performed search tasks before but were not considered highly trained subjects for this task.

Methods Equipments: –A PC 486 (DOS) with standard graphics (VGA, pixel; 60 Hz noninterlaced). –Viewing distance was 57 cm. –Search items were 1.3×0.3° large lines oriented either vertically (target) or at any other orientation, in steps of 15° (non-targets). –They were red (17 cd m2) on a dark background (0.8 cd m2); test lines were 4.7×0.5° and white (56 cd m2).

Methods-Experiment1 Participants were asked to search for a vertical line while keeping their gaze on a central fixation spot. They were instructed to respond as soon they detected the target, or indicate if the target was absent. Search time (from stimulus onset to the subject ’ s reaction) was measured.

Methods-Experiment2 Modified search using patterns as in Fig. 1, each with 12 items. When subjects called target detection, a test line was shown between the fixation spot and either the target or the item opposite to it ( ‘ anti-target ’ ). Subjects had to indicate the direction in which this line appeared to move.

Methods-Experiment3 Parallel search with four salient elements. Search patterns contained 12 items four of which popped out. A test line occurred (here also in target- absent conditions) and subjects indicated in which direction it appeared to move.

Results-Experiment1 In series A, non- target bars could have any orientation (except vertical) in steps of 15°. In series B, all non-target bars were horizontal.

Results-Experiment1 The measured reaction times with these patterns like the typical serial and parallel search characteristics. The participants performed these tasks in different ways: search time linearly increased with the number of items in series A but was almost constant in series B.

Results-Experiment2 For anti-target positions,sequences were seen nearly correct to move ‘ away ’ from or ‘ to ’ the item. Simultaneous presentations did not produce a motion percept.

Results-Experiment2 The percentage of trials in which subjects saw the line moving away from the target (filled bars) or from the anti-target position (hatched bars). The different percepts for test lines at target positions and test lines at anti-target positions then indicate: –focal attention was directed toward the target but not toward the non-targets. (when subjects reacted in the search task.) When targets popped out, search was followed by a shift of focal attention toward the target and away from non-targets.

Results-Experiment3 To rule out the possibility that attention shifts were non-relevant for the task, used search patterns with four salient elements.

Results-Experiment3 Deceptive motion was only seen at the target position and not at anti- target positions. when the target was present (and was detected), attention was focused there and no illusory motion was seen with the other salient objects.

Discussion When performing the search task participants directed their attention to the target and delete it from non- target positions. Visual search was followed by dynamic control of focal attention.

Discussion There was no difference between serial and parallel search. (the dynamics are concerned) Even when targets popped out and were immediately detected, attention was found to be located there and away from non-target positions.