CLPS 0020- Lectures - Categorization Flashcards

1
Q

Why is it easier to process/categorize nonliving vs living objects?

A

Nonliving may include a motor component as well as visual, like scissors vs birds

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2
Q

What are the two theories of categorization?

A

category-based and property based

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3
Q

What is the category based theory of categorization?

A

animals vs fruits vs rocks vs tools, etc.

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4
Q

What is the property-based theory of categorization?

A

color, texture, shape, use, place found, etc: combination of these features that ultimately builds a category

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5
Q

What happens in the brain with words related to pick/kick/lick?

A

words related to the movements activate similar brain areas: kicking activates similar regions to foot/punt, etc.

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6
Q

What did Myung et al show about looking for piano pictures?

A

When looking for piano picture, gaze will go more frequently to “typewriter” when searching than unrelated pictures like “apple”

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7
Q

Is categorization restricted simple features?

A

No, need access to different types of info when categorizing

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8
Q

Why are categories important?

A

can’t make sense of experiences if every object is unique, can’t learn how to interact or make predictions about properties, can’t communicate about objects if every instance is unique, not economical

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9
Q

What comprises a category/class of objects?

A

exemplars

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10
Q

What is the classical view of categorization?”

A

symbol classification: defined like dictionary entires: if we see a dog, we check the list of defining features and match it or not; problem: counterexamples such as stuffed toy dog

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11
Q

What is another view of categorization besides the classical view?

A

taxonomy: define birds as animals, so if you define a bird exemplar, it’s given that it’s an animal

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12
Q

What empirical finding supports the taxonomy model of categorization?

A

Reaction time: shorter RT for smaller distances moved on the hierarchy

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13
Q

What is a counterexample to the taxonomy model’s RT finding?

A

Canary fish vs canary gills: should take a long time to go up the hierarchy to fish adn then down to gills, but it doesn’t: we know very quickly that canaries don’t have gills

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14
Q

What are five other characteristics/components of categorization?

A

Probabilistic, family of resemblances, graded membership, typicality effect, fuzzy boundaries

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15
Q

What does it mean that categories are probabilistic?

A

if it has this property, then there’s this chance that it’s in such a category

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16
Q

What does it mean that categorization features a family of resemblances?

A

concepts organized around properties that may be characteristic of category members

17
Q

What does it mean that categorization features graded membership?

A

it’s not all or none: an object could be a category or something and less in the category of another or more in the category of something else

18
Q

What does it mean that categorization features the typicality effect?

A

some members are more typical than others: better exemplars

19
Q

What does it mean that categorization features fuzzy boundaries?

A

due to the probabilistic nature of categories, it may be hard to tell if an object is in one category or the other

20
Q

What does “list all birds” show about categorization?

A

Typicality effect: certain exemplars are better exemplars thatn other, like robin to penguin

21
Q

What does “how much of a fruit is an apple” show about categorization?

A

Typicality effect: apples are better exemplars than tomatoes of fruit

22
Q

What does “apple is a fruit yes or no” response time say about categorization?

A

Typicality effect: certain exemplars take less time to identify as members of that category

23
Q

What is important when looking at the typicality effect? What determines if something is more typical, generally?

A

Experience

24
Q

What does “cup or bowl” show about categorization?

A

graded categories/fuzzy boundaries: not everyone agrees where things fall on the spectrum: can be attributed to experience

25
Q

What can alter categorization of an object besides experience?

A

context: consider cup/bowl with coffee/oatmeal

26
Q

What are the two theories of the nature of the representations in categorization?

A

prototype theory and exemplar theory

27
Q

What is the prototype theory?

A

That the brain stores the average of the exemplars: only the most common features

28
Q

What is the exemplar theory?

A

That the brain stores the best/most typical exemplar, not an average

29
Q

How does categorization work according to the prototype theory?

A

You compare the stimulus to the prototype average and see how well it matches up

30
Q

What are the problems with the prototype theory?

A

when you average, you lose information; doesn’t tell you how variable a set might be; and how do we know so much about fine details then?

31
Q

How does categorization work according to the exemplar theory?

A

You compare the stimulus to examples of a category and see how well it matches up

32
Q

What are the problems with the exemplar theory?

A

Not economical: how do you remember all the details

33
Q

What are the beenfits to the exemplar theory of categorization?

A

learn/store individual members, accounts for typicality and frequency, retains variability and details, influence by context

34
Q

What is one test to determine whether categorization follows the prototype or exemplar theory?

A

Test reaction time in identifying new stimuli: show examples of both a similar image to the others (exemplar) or an average of the others (prototype); but depends on set size: if fewer objects, remember more details and follow exemplar theory; if more objects, don’t remember details and follow prototype theory

35
Q

In the prototype vs exemplar experiment, what set size is associated with the exemplar theory?

A

Smaller

36
Q

In the prototype vs exemplar experiment, what set size is associated with the prototype theory?

A

Larger

37
Q

What is probably the accurate model of categorization?

A

A combination of both the prototype and exemplar theories

38
Q

Which visual field is biased towards trained exemplars?

A

LH/RVF: prefers language, interested in difference

39
Q

Whcih visual field is biased toward prototypes?

A

RH/LVF: doesn’t really care about details because it doesn’t have to deal with language-type things