Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme:...

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Perceptio n & Pattern Recogniti on II

Transcript of Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme:...

Page 1: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Perception & Pattern

Recognition II

Page 2: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Today’s agenda:

Turn in CogLab Assignment #1 Today’s theme: Perception is active

More examples from Reed, Chapter 2 Finish up perceptual illusions

Next Tuesday: Face Recognition

Page 3: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

What do you see?

Page 4: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.
Page 5: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Perception is active, not passive.

PERCEPTION

Sensory input

Page 6: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Perception is active, not passive.

Knowledge, expectations(Top-down processing)

PERCEPTION

(Bottom-up processing)

Sensory input

Page 7: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

During perception, information is:

Omitted Decomposed into features Added Categorized Organized Distorted

Page 8: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

The Whole Report Procedure

An array of 12 letters is BRIEFLY flashed onto the screen.

After it’s removed, the observer tries to report what they saw.

Page 9: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

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T M F W

L R E P

A X C O

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L A P C

K R Z D

O S V Y

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Page 15: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

The Whole Report Procedure

An array of 12 letters is BRIEFLY flashed onto the screen.

After it’s removed, the observer tries to report what they saw.

People can typically report only 3-4 of the 12 letters. Does this really mean that only 4 letters made it into

perception? Sperling invented the Partial Report Procedure, which

answered this question.

Page 16: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

The Partial Report Procedure (Sperling, 1960)

The subject fixates on a cross; then letters flash onto the screen just long enough to cause a visual afterimage.

High, medium, and low tones right after the letters are removed signal which row of letters to report.

(Fig. 2.11, p. 31).

Page 17: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

The information available in brief visual presentations (Sperling, 1960)

If the delay (after the display disappears and before the cueing tone) is short, people can report all or almost all letters in the row they’re cued to report!

What does this mean?

Reed Fig. 2.12 (p. 32)

Page 18: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Evidence for sensory memory (Sperling, 1960)

After the display is removed, people can continue to “read” letters off their visual icon if (and only if) they’re able to focus attention on the cued row before the icon fades.

Sperling’s discovery led to the idea of an extremely short-lived visual icon (visual sensory store) with unbounded capacity.

Page 19: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Without attention, information in the visual icon (VSS) is rapidly lost.

(Reed, p. 3, Figure 1.1)

Page 20: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

During perception, information is:

Omitted Decomposed into features Added Categorized Organized Distorted

Page 21: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Feature integration theory

(Treisman & Gelade, 1980)

The popout phenomenon, discovered by Anne Treisman

This provides more evidence for low-level features, perceived automatically.

Page 22: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

For the next slide, try to react as quickly as possible.

You’ll see a field of black 0’s. Slap the desk IF (and only if) you see

the letter V in the field of 0’s.

Page 23: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 V 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Page 24: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Straight lines pop out in a field of curved lines.

This task is pre-attentive (doesn’t demand attention).

Let’s try it again. Slap if you see a V.

Page 25: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 V 0 0 0 0

Page 26: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Popout happens fast, regardless of the size of the display!

This means you’re searching it all at once - in parallel.

Let’s try it again. Slap if you see a V.

Page 27: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Page 28: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Straight lines pop out from curved lines, and vice versa.

What about angular orientation? In this next field of vertical lines, slap the desk if you see a slanted line.

Page 29: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

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| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |

Page 30: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Now for color.

Slap if you see something red.

Page 31: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

O N N N O O O N N O N O N N N O O N

O O O N O O O N N O N N N O O N O O

N O O N O O N O O N N O O O O N O N

O N O N O N O O O N O N O N N N O O

N O O N O O O N N O O N O N N O N N

O N N N O O O N N O N O N N N O O N

N O N O O O N O N O N N N O O N O O

Page 32: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

We know that color pops out, and so does curvature.

For the next slide, slap the desk if (and only if) you see a red O.

Page 33: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

O O O N O O O N N O N N N O O N O O

N O O N O O N O O N N O O O O N O N

O N O N O N O O O N O N O N N N O O

O N N N O O O N N O N O N N N O O N

N O N O O O N O N O N N N O O N O O

N O O N O O O N N O O N O N N O N N

O N N N O O O N N O N O N N N O O N

Page 34: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

And again: Red O.

Page 35: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

N N O

O N O

Page 36: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

One last time:

Page 37: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

O N N N O O O N N O N O N N N O O N

O O O N O O O N N O N N N O O N O O

N O O N O O N O O N N O O O O N O N

O N O N O N O O O N O N O N N N O O

N O O N O O O N N O O N O N N O N N

O N N N O O O N N O N O N N O N O N

N O N O O O N O N O N N N O O N O O

Page 38: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Conjunction search Searching for a conjunction of features takes

longer! You must search one at a time (serially) rather than in parallel (all at once).

For conjunction search, the display size (set size) matters, since you have to search every item for the particular combination of features.

X

T

TT

X

T

TX

T TX

X

T

T

Page 39: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Another demonstration of set size (find the white vertical bar)

Page 40: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

1 Distractor

Page 41: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

12 Distractors

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29 Distractors

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Page 44: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Parallel vs. serial processesSerial process•Process each object, one at a time•The time it takes depends on # of objectsParallel process: •Process multiple things at once or “in parallel”•The number of objects doesn’t matter -

it’s equally fast, whether there aremany or few objects.

•Works for limited kinds of things

Sperling: We recognize letter in parallel butreport them serially.

Page 45: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Illusory conjunction at the preattentive stage

Next, I will briefly flash a string of black numbers and colored letters. Try to report the number at the beginning AND the number at the end of the string.

Page 46: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

2 X T O 8

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What numbers did you see?

Page 48: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

What numbers did you see? Now what were the letters? What color were they?

Page 49: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Illusory Conjunction Effect

Illusory Conjunction (Treisman & Schmidt, 1986) People report incorrect combinations of features

about 30% of the time. due to lack of time to focus attention. They recognize T and blue, but these features

are “floating” - This effect is pre-attentive Attention is needed to “glue” features together!

(binding)

Page 50: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Without attention, information in the visual icon (VSS) is rapidly lost.

(Reed, p. 3, Figure 1.1)

Page 51: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

During perception, information is:

Omitted Decomposed into features Added Categorized Organized Distorted

Page 52: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Information is added

Knowledge, expectations(Top-down processing)

PERCEPTION

(Bottom-up processing)

Sensory input

Page 53: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Information is added

The blind spot Speech perception with noise

Page 54: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Information is added

I knew that the *eel was on the

orange

axle

shoetable

The phonemic restoration effect

(Warren & Warren, 1970)

Context helps us perceive speech

Page 55: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Reading words with noise

Page 56: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Word Superiority Effect (Reicher, 1969)

When is a given letter recognized fastest: alone, in a word, or in a non-word?

K WORK ORWK

Page 57: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Word Superiority Effect (Reicher, 1969)

Respond:

D or K?

(Fig. 2.13, p. 35)

Brief display Mask & choice

Page 58: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Word Superiority Effect (Reicher, 1969)

Respond:

D or K?

(Fig. 2.13, p. 35)

Brief display Mask & choice

Page 59: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Word Superiority Effect (Reicher, 1969)

Respond:

D or K?

(Fig. 2.13, p. 35)

Brief display Mask & choice

Page 60: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Word Superiority Effect (Reicher, 1969)

Respond:

D or K?

(Fig. 2.13, p. 35)

Page 61: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Word superiority effect: An interactive activation model

Word level

Letter level

Feature level

Input

See Reed, p. 36 - in addition to

activation, there’s also inhibition.

Page 62: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Neural network models

PDP - parallel distributed processing Nodes - processing units used to

abstractly represent elements such as features, letters, and words

Links, or connections between nodees Activation - excitation or inhibition that

spreads from one node to another

Page 63: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

During perception, information is:

Omitted Decomposed into features Added Categorized Organized Distorted

Page 64: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Information is categorized

The input to perception is continuous, but the output is categorical.

Page 65: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Reed, Fig. 2.1 (p. 18)

Variations in handwriting (Chapanis,1965)

Despite variation, letters and wordsare still categorized.

The same squiggle may be categorized differently in different contexts.

Page 66: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Speech perception is categorical

Can we tell very similar sounds apart? It depends! Example: Voicing: when vocal folds vibrate Early VOT (voice onset time) Late VOT

/p/ /b/

/g/ /k/ Expt: Subjects hear /ga/ - /ka/ sounds, judge if

each is “ga” or “ka”; voicing varies slightly. Then % “ga” judgments is graphed for each VOT

Page 67: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Speech perception is categorical If we perceived what was actually out there in the

world, what would the graph look like?

Page 68: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Speech perception is categorical Surprise! People perceive sounds that vary

continuously as suddenly in a different category.

Page 69: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Speech perception is categorical Discriminating between sounds that differ by only

10 ms in their VOT: Performance peaks at the boundary.

(Note: Task is to judge 2 sounds as “same” or “different”)

Page 70: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Categorical perception

Helps us categorize information quickly Helps us ignore irrelevant information

For speech sounds, the same amount of difference - say, 20 ms - leads to very different results, depending on whether it falls within or between phonetic categories

Page 71: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

During perception, information is:

Omitted Decomposed into features Added Categorized Organized Distorted

Page 72: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Information is organized

(For example, Gestalt properties of perception - see last lecture.)

Page 73: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Information is distorted

We don’t see what’s out there in the real world - we see what our perceptual system biases us to see.

Page 74: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Muller-Lyer illusion Ponzo illusion Ames room Moon illusion Relative size illusion

Perceptual illusions result from the helpful biases of constancy, depth perception cues, and Gestalt principles!

Perceptual illusions

Page 75: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Muller-Lyer Illusion

Page 76: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Ponzo Illusion

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Ames Room

Page 78: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Ames Room

Page 79: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Moon Illusion

Page 80: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Relative height

Higher objects on the ground are seen as farther away

Lower objects in the sky are seen as farther away

Page 81: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Relative size illusion

Page 82: Perception & Pattern Recognition II. Today’s agenda: Turn in CogLab Assignment #1 Today’s theme: Perception is active  More examples from Reed, Chapter.

Conclusions about perception

Perception is not passive; percepts are actively constructed by the system.

Perception uses both bottom-up and top-down information.

During perception, information may be omitted, added, decomposed, categorized, organized, or distorted.