Title: Perceptual Processes
1Perceptual Processes
- Introduction
- Pattern Recognition
- Top-down Processing Pattern Recognition
- Face Perception
- Attention
- Divided attention
- Selective attention
- Theories of attention
2Perception
- Process that uses our previous knowledge to
gather and interpret the stimuli that our senses
register
3Pattern Recognition
- The identification of a complex arrangement of
sensory stimuli
4Patterns
5Glory may be fleeting
6The Letter Z
7Theories of Patter Recognition
- Template Matching Theory
- Prototype Models
- Distinctive Features Model
- Recognition by Components Model
8Template Matching Theory
- Compare a new stimulus (e.g. T or 5) to a set
of specific patterns stored in memory - Stored pattern most closely matching stimulus
identifies it. - To work must be single match
- Used in machine recognition
9Examples of Template Matching Attempts
10Used in machine recognition
11Problems for Template Matching
- Inefficient - large of stored patterns required
- Extremely inflexible
- Works only for isolated letters and simple objects
12Prototype Theories
- Store abstract, idealized patterns (or
prototypes) in memory - Summary - some aspects of stimulus stored but not
others - Matches need not be exact
13Forming Prototypes Faces--Faces Animated Version
Examine the faces below, which belong to two
different categories.
14Forming Prototypes of Faces
15Prototypes
- Family resemblances (e.g. birds, faces, etc.)
- Evidence supporting prototypes
- Problems - Vague not a well-specified theory of
pattern recognition
16Distinctive Features Models
- Comparison of stimulus features to a stored list
of features - Distinctive features differentiate one pattern
from another - Can discriminate stimuli on the basis of a small
of characteristics features - Assumption feature identification possible
17Distinctive Features Models Evidence
- Consistent with physiological research
- Psychological Evidence
- Gibson 1969
- Neisser 1964
- Waltz 1975
- Pritchard 1961
18Visual Cortex Cell Response
19Gibson--Distinctive Features
20Letter Scanning Example
First, scan for the letter Z in the first
column of letter strings. Next, scan for the
letter Z in the second column of letter
strings. Which is easier? Why?
21How a Distinctive Features Model Might Work
Z
A
T
22Distinctive Features
- Theory must specify how the features are
combined/joined - These models deal most easily with fairly simple
stimuli -- e.g. letters - Shapes in nature more complex -- e.g. dog, human,
car, telephone, etc - What would the features here be?
23Recognition by Components Model
- Irving Biederman (1987, 1990)
- Given view of object can be represented as
arrangement of basic 3-D shapes (geons) - Geons derived features or higher level features
- In general 3 geons usually sufficient to identify
an object
24Examples of Geons
25Status of Recognition by Components Theory
- Distinctive features theory for 3-D object
recognition - Some research consistent with the model some not
26Support for Biederman
27Summary
- Distinctive Features approach currently strongest
theory - Perhaps all 3 approaches (distinctive features,
prototypes, recognition by components) are
correct - Regardless, pattern recognition is too rapid and
efficient to be completely explained by these
models
28Two types of Processing
- Bottom-up or data-driven processing
- Top-down or conceptually driven processing
- Theme 5 -- most tasks involve bottom-up and
top-down processing
29Ambiguous Stimulus -The Man Ran
30Ambiguous Stimulus - The Cat in the Hat
31Fido is Drunk
32Reversible Figure and Ground
33Word Superiority Effect
- We can identify a single letter more rapidly and
more accurately when it appears in a word than
when it appears in a non-word.
34Word Superiority- Non-word Trial
35Word Superiority Word Trial
36Single Letter K vs K in a word
37Word Superiority Single Letter Trial
38Word Superiority Word Trial
39Altered Sentences in Warren and Warren (1970)
40The Effect of Varying Sentence Frame Context on
Interpreting an Ambiguous Stimulus
botanist
- The __________ raised (________) to supplement
his income.
lion tamer zoo keeper botanist dairy farmer
41The Influence of Stimulus Features Sentence
Context on Word Identification
42Attention
43Definitions of Attention
- Concentration of mental resources
- Allocation of mental resources
44Divided Attention
45Reinitz Colleagues (1974)
Divided Attention Condition
Full Attention Condition
Subjects count the dots
No instruction about dots
46Proportion of Responses that were old for Each
of Two Study Conditions and Two Test Conditions
(Reinitz Colleagues, 1994).
47Divided Attention Practice
- Hirst, et. al. 1980
- Spelke, 1976
48Selective Attention
49Selective Attention (Dichotic Listening Task)
- Shadowing
- Irrelevant Channel
- Cocktail Party Effect - Morray (1959)
- Wood and Cowan (1995)
- Treisman (1960)
50Dichotic Listening Task
T, 5, H
LEFT T 5 H
RIGHT S 3 G
51Cocktail Effect -- Ziggy
52Treismans Shadowing Study
53Filter Models of Attention
54Cerebral Cortex Attention
55Capacity Model of Attention
56Diagnostic Criteria for Automatic Processes
57Darwin, Turvey, Crowder