Title: Methods for Investigating Attentional Selection
1Methods for Investigating Attentional Selection
and Visual Search
2Attentional limitations central fact of
cognition. What is the nature of the selection
process? What gets selected, and how?
3Reaction Times Eye Movements Bayesian
Principles Classification Images Computational
models of search process
4Posner Paradigm Attentional Cueing
Central Cue - voluntary/endogenous
attention Peripheral Cue - automatic/exogenous
attention
Attentional selection can operate independently
of fixation called covert attention. Fixation
point indicates overt attention
Posner, 1980
5Reaction Time advantage for valid
trials. Peripheral cue advantage when cue
precedes stimulus by 100 msec Central cue
advantage when cue precedes stimulus by 300 msec
6Concept of an attentional spotlight spatially
based selection. Spotlight enhances
processing. Spotlight takes time to move. More
time for an endogenous cue. Note assumption
that faster better
7Visual Search Paradigm Another approach to
investigating the selection process. (Treisman,
1980s)
Task Find a target among distractors.
8Parallel/ automatic processing of simple
features. Selective attention required to bind
features into objects.
9Effect of set size reveals nature of search
Parallel search for simple features Serial search
for items requiring feature binding
10Interpretation of slopes in terms of msec/item as
speed of covert attention - eg 20 msec/item.
11Wolfe search varies in difficulty - no real
dichotomy
12Distributions of slopes are not bi-modal
13Wolfes Guided Search selection on the basis of
simple feature, followed by serial analysis
14Difficult to distinguish between serial and
parallel mechanisms
15Texture segmentation usually consistent with
reaction time data.
16Search difficulty depends on relation of target
to distractors
Similarity of target distractors
Homogeneity of distractors
17Stimulus Taxonomy
Note assumption that the stimulus is the
critical variable.
Presumably reflects the signal/noise
characteristics of selection on basis of these
properties.
18Reaction Time is a useful measure, but a single
number cant account for much of the complexity
of the brain Computations.
19Bayesian Approach
Cueing effect in Posner paradigm without
enhanced processing at attended
location. Eckstein et al, 2002.
20Greater prior liklihood of stimulus at cues
location leads to better performance
(detectability).
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22 Classification Image Technique Subject
detects a signal in noise Sort out the False
Alarm trials Add all the images that resulted in
false alarms Reveals the information that led to
a false alarm. Cf reverse correlation technique
23Simulation results using classification images
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25Classification images from simulations using
different filters in cued and uncued locations.
26Classification images from subjects in Posner
experiment.
Supports Bayesian interpretation of performance,
not use of different filters in cued and uncued
locations.
27Attention is a hypothetical internal variable
with limited/no explanatory power.
28 Eye Movements Overt Attention Is there
any advantage to covert attention in absence of
fixation? Findlay reaction time to peripheral
stimulus may be faster if subject allowed to
fixate.
29Visual Acuity degrades rapidly with eccentricity
Advantage of re-fixation much greater than covert
attention
30Similar performance for reaction time and sacadic
eye movements. Williams, Zelinsky
Reaction Time
Number of Saccades
serial
serial
parallel
parallel
Set size
Set size
31RSVP Method to measure speed of attention
RSVP Rapid Serial Visual Presentation
32Various experiments that pit saccades
against other tasks such as letter recognition
show interference. (Kowler, Deubel) Implication
is that saccadic target selection involves a
shift of attention to the target location.
33Saccadic eye movement circuitry
target selection
LIPlateral intra- parietal
saccade decision
saccade command
inhibits SC
signals to muscles
34fMRI shows similar areas involved in covert
attention and sacadic eye movements. Corbetta
35Eye Movements during Search in Naturalistic
Scenes. Zelinsky et al
Center-of-gravity fixations
36Analytical approaches to understanding search
37Image is filtered at different orientations and
spatial scales. Gives a filter template for each
location.
_
Rao et al
38Correlate template with image only one location
has a high correlation
Search target
39Saliency Map for saccade target selection and
perceptual decision
Multi-scale Image representation
Compare target to fliter template
Decision process Compare peak to S and
N distributions
Oculomotor process
40Predicting saccade location rather than reaction
time
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43Dual Task Paradigms
44Psychological Refractory Period - PRP
Pashler
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46Attention Operating Characteristic
Measurement of extent of task interference.