Quiz 6 Flashcards

1
Q

What is a discrimination experiment used for?

A
  • To determine if 2 or more stimuli are perceived as the same or different
  • no need to name or categorize the stimuli
    Ex. AX, ABX, 2AFC
  • do not need to prepare—participants just identify whether there is a difference between 2 specific stimuli
  • don’t need to know categories or name anything
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2
Q

What is an “identification” experiment?

A
  • participants listen to one sound, need to categorize into a given category
  • requires naming perceived stimuli based on predefined categories
    Ex. Labeling tasks, Yes-No tasks
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3
Q

What are the 2 basic types of perception experiments

A

Discrimination or identification

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4
Q

What is AX design? What else is it known as?

A
  • AKA Same-different design (a form of discrimination experiment design)
  • ‘A’ refers to one sound, ‘X’ to another sound
  • Use when curious about sensitivity to differences between sounds
  • 2 stimuli presented at each trial
    *common in speech research
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5
Q

What are the elements of an AX design?

A
  • stimuli separated by an Interstimulus Interval (ISI)
  • possible pairs
    >different: <AB>, <BA>
    >same: <AA>, <BB></BB></AA></BA></AB>
  • equal number of same and different pairs (usually)

Always counterbalance to reduce biases combinations

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6
Q

How are the results of an AX experiment measured?

A
  • measures: accuracy (% correct) and reaction time
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7
Q

Describe an ABX design experiment

A

(Discrimination experiment)
- slightly more difficult than AX
- 3 stimuli presented in a series
- listener determines if it is A or B that is the same as the X
- other variations include AXB and XAB formats
- ‘X’ will be either ‘A’ or ‘B’
- each set of stimuli has 2 ISI’s
*can participants hear tiny difference between ‘A’ and ‘B’?

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8
Q

What is the approximate ISI used in most discrimination experiments?

A
  • usually around 500ms each
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9
Q

Design elements of ABX design experiments

A
  • often known as matching-to-sample
  • 2 ISI’s, typically the same, but can vary
  • bias concerns can arise due to temporal presentation order
  • task slightly more complicated than AX, may require practice
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10
Q

Describe a 2AFC design

A
  • Two Alternative Forced Choice (2AFC) Design
  • 2 stimuli presented on each trial
  • subjects discern the order of presentation
  • typical instruction: “which stimulus came first, A or B?” “which stimulus had a higher tone?”
    *no referent sounds or labels, just pick between first and second
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11
Q

What are the design elements of a 2AFC design?

A
  • minimizes bias; ideal for similar stimuli
  • assumes either order is equally possible
  • requires discernment of stimulus order
  • ex. Given 2 stimuli, asked “which tone is higher”?
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12
Q

Describe a 4IAX design

A

4-interval Forced Choice (4IAX) Design
- presentation of 4 sounds with binary choice
- subjects discern difference among the presented sounds
- 2 design alternatives: “oddity” version or same-different discrimination
- first and last stimuli are “flankers” (ie. first and last will never be the correct answer)
- Participants identify the unique sound

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13
Q

What are the design elements of the 4IAX design?

A
  • possible presentations: <ABAA>, <AABA>, <BABB>, <BBAB></BBAB></BABB></AABA></ABAA>
  • first and last stimuli “flankers” or “flanking stimuli”
  • focus on discerning the order or uniqueness of the stimuli
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14
Q

What is a yes-no design?

A
  • only one stimulus presented per trial
  • subjects decided on the presence or nature of the stimulus
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15
Q

What are the elements of a yes-no design?

A
  • can explore binary comparisons like X~not X, or y~not y
  • multiple categories can be contrasted via blocking
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16
Q

Describe a labeling design

A
  • single stimulus is presented each trial
  • Subjects apply a label to the stimulus
  • labels can be from a closed set or an open set
  • aim is to assess categorical knowledge
17
Q

Describe a labeling design

A
  • single stimulus is presented each trial
  • Subjects apply a label to the stimulus
  • labels can be from a closed set or an open set
  • aim is to assess categorical knowledge
    Starts around 3 min on audio
18
Q

Main difference between y/n and labeling designs

A

Participants actively thinking about category the sound belongs to

19
Q

Describe Oddity design

A
  • multiple stimuli presented, one of which is unique
  • task: determine the odd one out
  • often limited to 3 (triangular design or 4 stimuli)
    Starts around 7 min on audio
20
Q

What does the oddity design require participants to do/show?

A

When asked to identify odd one out, need to access knowledge of discrimination between multiple sounds (stimuli multiple and different, whereas discrimination task only has 2 different sounds)
Ex. Which one is [s] sound?
Listen to audio around 10 min?

21
Q

What is the most straightforward method for analysis of subject performance on trials?

A

Percent correct (although somewhat problematic because it doesn’t give full picture including errors)

22
Q

What is d’ (d-prime)?

A
  • measure of sensitivity in perceptual tasks
  • indicates how well an individual can discern between signal (ex. a stimulus) and noise (ex. a distractor or absence of stimulus)
  • represents the distance between the means of the signal and the noise distributions, in units of the standard deviation of the noise
23
Q

What is “hit rate”?

A

Proportion of times the signal was correctly detected

24
Q

What is “hit rate”?

A

Proportion of times the signal was correctly detected

25
Q

What is the d-prime formula?

A

d’= Z (hit rate) - Z (false alarm rate)

26
Q

What is the false alarm rate?

A

Proportion of times the signal was incorrectly detected when it was absent

27
Q

What is the relationship between hit rate and d’?

A

The higher the hit rate, the higher the d’

28
Q

What does Z refer to in d-prime studies?

A
  • the inverse of the cumulative distribution function of the Gaussian distribution
    Z-value= how far a particular data point (ie. response) is from the mean
    Can have Z- value for hit rate and false alarm rate
    D’= Z of hit rate- Z of falser alarm rate