attention - visual search Flashcards

1
Q

How does increasing working memory load effect interference?

A

It increases the effect of interference

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2
Q

How does increasing perceptual load effect interference?

A

it reduces it

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3
Q

is perceptual load an automatic or controlled process?

A

automatic

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4
Q

is WM controlled or automatic?

A

controlled

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5
Q

do controlled or automatic processes have more inteference?

A

controlled

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6
Q

What is the aim/procedure or Treisman and gelades typical visual search study?

A

Participants had to find a target amongst distractors and the number of distractors, presence or absence of targets, search for target, distinct by one or two features, type of target varied.

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7
Q

what was the hardest visual search task?

A

it is harder to identify when there are conjoined features and you are saying the item isn’t there (opposed to is there)

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8
Q

did increasing the array have an effect?

A

yes on both positive and negative - mostly negative but only when conjoined features

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9
Q

what is a conjuction (conjoined) distractor?

A

It has two features that make it different from the target - harder to find

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10
Q

does display size have an effect RT for single-feature targets?

A

No not when positive slightly when negative

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11
Q

how can we represent data from visual search?

A

equation of a line
y=mx+c

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12
Q

y

A

reaction time

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13
Q

m

A

the slope, how steep the line is, the number of milliseconds that each item adds to the search. A lower m means you are working more efficiently.

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14
Q

x

A

number of items to perform the search

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15
Q

c

A

the time it takes you to do everything that is not searching, to initially process and produce a response

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16
Q

a low m means

A

A lower m means you are working more efficiently.

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17
Q

What is Feature integration theory?

A

Suggests there are two processing stages for visual search
1. initial stage feature detection
2. Feature integration

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18
Q

initial stage feature detection

A

parallel (features evaluated simultaneously) , fast and efficient
single features stand out usually stop at this stage with them

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19
Q

Feature integration

A

Gluing the features together, Attentional focus is the glue

slow, series of processing is needed since there are more than one feature

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20
Q

Problem with feature integration theory

A

Probably is not how it works most of the time

Conjunction searches can be faster than they argue and can be parallel - do not always require strict serial processing

Doesn’t account for perceptual grouping

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21
Q

what should the data look like if all visual research was combined - according to feature integration theory!

A

There should be a pattern - feature present will be lower than conjunction present and feature absent.

Feature positive - Feature negative - Conjoined positive - Conjoined negative

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22
Q

What does the data actually look like for combined visual search?

A

Serial processing in conjunction searches is not always required. Conjunction searches can sometimes be parallel or guided by top-down processes. Single feature and conjunctive are not always as clear cut.

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23
Q

How does Wolfes model of Guided Search critique Treisman?

A

suggests that Treismans is bottom-up and ignores top down processing

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24
Q

Describe Wolfes model of Guided Search

A

Brain tells you were to look using prior information

This effect has not been found for emotional responses though

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25
what are the two pathways in Wolfes model of Guided Search
selective non-selective
26
selective pathway
- focused attention - helps us focus on object features while ignoring other sin the environment - essential for task that require inspection - attentional control - can selective specific stimuli
27
non-selective
- Extracts basic semantic information from scene - “Gist” of the scene - global processing - automatic and unconscious Provides guidance to the selective pathway, this occurs very quickly
28
Guiding attributes
qualities of a good guide, the properties of visual stimuli, or the attributes of a product
29
defo guiding attributes
colour motion orientation and size
30
probably guiding attribute
depth luminance closure curvature
31
shading effect on search time
shading, luster and luminance all had an effect closer together longer reaction time
32
attentional engagement theory Duncan and Humphreys
As we increase distinctiveness of non target to target our search time is decreased.
33
forms of distinctiveness
1. The difference in the target and non target. How easy is it to notice the difference between the target and non-target 2. Non-target similarity - how similar are the distractors? If heterogeneous (all different) the search more inefficient (longer).
34
Are participants more distracted by the presence of the high value vs. low value distractor? Is attention captured by a high value distractor?
High value distractors increased RT over absent. ID mattered, low working memory were more likely to be distracted and show higher reaction times.
35
What is serial processing?
Serial processing means handling one task at a time. The tasks are processed in a sequence, focusing on each task before moving to the next.
36
What are the advantages of serial processing?
More accurate: Since you focus on one task, you can perform it more carefully. Better for complex tasks: When tasks require deep thinking or focus, serial processing helps avoid errors.
37
What are the disadvantages of serial processing?
Slower: Since only one task is done at a time, it takes longer to complete multiple tasks. Inefficient for multitasking: It’s not effective when you need to do several tasks at once.
38
What is Parallel Processing?
Parallel processing is when multiple tasks are handled at the same time. Your attention is divided, allowing you to process different types of information simultaneously.
39
What are the advantages of parallel processing?
Faster: Tasks are completed more quickly since they are being processed simultaneously. More efficient for multitasking: You can handle multiple tasks at once, such as listening to music while working.
40
What is the difference between a single-feature search and a conjunction search?
A single-feature search involves finding a target defined by a single feature (e.g., color or shape), where the target "pops out" quickly, and search time does not increase with the number of distractors. A conjunction search involves finding a target defined by a combination of multiple features (e.g., color and shape), which typically requires more focused attention and can take longer, with search time increasing as the number of distractors grows.
41
What did Jeremy Wolfe find in his critique of Feature Integration Theory (FIT) regarding conjunction searches?
Wolfe's research suggested that conjunction searches are not always serial (one item at a time), as FIT proposed. His guided search model indicated that parallel processing can occur in conjunction searches, especially with top-down guidance and depending on the context.
42
What is guided search in relation to conjunction searches?
Guided search is a theory proposed by Wolfe suggesting that in conjunction searches, attention can be directed in a parallel manner across the display, guided by a priority map that highlights likely target locations, influenced by top-down processes such as expectations and knowledge.
43
How does target-distractor similarity influence the difficulty of a conjunction search?
When the target and distractors are highly similar (e.g., a red square among red circles), the conjunction search becomes more difficult and resembles serial processing. However, when the target and distractors are distinct (e.g., a red square among green circles and red suqares), the search becomes easier and may feel more like a single-feature search.
44
Does Wolfe’s research support the idea that conjunction searches are always more difficult than single-feature searches?
No, Wolfe’s research suggests that the distinction between conjunction and single-feature searches is not always clear-cut. Under some conditions (e.g., distinct targets or top-down guidance), conjunction searches can be as efficient or even more efficient than single-feature searches.
45
What role does top-down processing play in conjunction searches, according to Wolfe?
Top-down processing, such as expectations and prior knowledge, can significantly guide attention in a conjunction search, making it more efficient. For example, knowing the target is a red square can help direct attention and facilitate faster identification, even in a conjunction search.
46
How does the efficiency of a visual search depend on factors other than target type?
The efficiency of a visual search depends on: Top-down processes (e.g., prior knowledge and expectations). Target-distractor similarity: More similar targets and distractors lead to slower searches. Familiarity with the target. These factors can make conjunction searches more efficient or challenging, regardless of the number of features involved.
47
What role does target distinctiveness play in Guided Search?
The more distinctive a target is, the higher its activation, and the faster it’s found
48
What happens in the first and second stage of Guided Search?
Parallel processing of visual features creates a priority map Serial attention is directed to locations/items based on the priority map
49
What does Attentional Engagement Theory say about search efficiency?
Search becomes more efficient the more the non-targets group together.
50
Why does grouping non-targets together make search more efficient?
Grouping non-targets into coherent clusters reduces cognitive load and allows attention to be focused more effectively on the target.
51
What happens if non-targets are spread out or very varied?
Search becomes less efficient because attention becomes dispersed over many different features.
52
: Does grouping the target with non-targets improve search efficiency?
No. If the target is too similar to the non-targets, it becomes harder to distinguish, making the search more difficult
53
Does feature binding occur because of target/non-target grouping?
No. Feature binding occurs when attention focuses on individual items to combine their features (e.g., color, shape).
54
high-value distractor
a stimulus, often an irrelevant option in a decision, that is associated with a higher reward or perceived value than other options, including the target. This high value can lead to increased attention or interference with the primary task or target, potentially slowing down or impairing decision-making.
55
Change blindness
refers to the phenomenon where people fail to notice significant changes in a visual scene, even when those changes occur within their direct line of sight (e.g., in the foveal region, the center of the visual field).
56
What is value-driven attentional capture (VDAC)?
Attention is automatically biased toward stimuli that have been previously associated with high reward, even when those stimuli are no longer relevant to the task.
57
What was the key finding in Anderson et al. (2011)?
Participants were slower to respond when a distractor in a previously rewarded color appeared, showing that learned value can capture attention involuntarily.
58
What happened during the training phase of the Anderson (2011) study?
Participants searched for a red or green circle containing a line and reported the line’s orientation. One color was linked to a high reward, the other to a low reward. This built a strong color–reward association over 1008 trials.
59
What happened during the test phase of the Anderson (2011) study?
Participants searched for a uniquely shaped item (e.g., a diamond among circles). Color was irrelevant, but distractors in the previously rewarded color still captured attention and slowed responses.
60
How does value-driven attention differ from top-down and bottom-up attention?
Top-down: based on task goals (e.g., "look for green") Bottom-up: based on stimulus salience (e.g., a bright flash) Value-driven: based on learned reward associations (e.g., red = high reward)