Attention

0.0(0)
Studied by 0 people
call kaiCall Kai
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
GameKnowt Play
Card Sorting

1/31

encourage image

There's no tags or description

Looks like no tags are added yet.

Last updated 6:33 PM on 10/5/26
Name
Mastery
Learn
Test
Matching
Spaced
Call with Kai
Chat

No analytics yet

Send a link to your students to track their progress

32 Terms

1
New cards

What was William James’ (1890) definition of attention?

“It is the taking possession by the mind, of 1 out of several simultaneously possible objects or trains of thought. Focalization, concentration, of consciousness are of its essence. It implies withdrawal from some things in order to deal effectively with others”

  • Selective + limited resources


2
New cards

Give a definition of visual attention

The selection of some visual stimulus or set of visual stimuli at the expense of others for further visual + cognitive analysis + often for the control of behaviour

3
New cards

What are the types of attention?

  • External

  • Internal

  • Overt

  • Covert

  • Divided

  • Sustained


4
New cards

What is external attention?

Attending to stimuli in the world

5
New cards

What is internal attention?

Attending to 1 line of though over another or selecting 1 response over another

6
New cards

What is overt attention?

Directing a sense organ towards a stimulus, like pointing your eyes/turning your head

7
New cards

What is covert attention?

Attending without directing sensory organs towards a stimulus

8
New cards

What is divided attention?

Splitting attention between 2 different stimuli

9
New cards

What is sustained attention?

Continuously monitoring some stimulus

10
New cards

Why do we need attention?

Translates (input) into info measures → each eye takes in ~1GB/s

11
New cards

What does the amount of sensory information we receive entail/impose? What is the upshot of this?

  • A requirement for multiple selective mechs → enables it to process info efficiently (e.g. spatial summation or spatial filters)

  • BUT not enough → further, attentive selection is needed to prevent overload + hitting capacity limits for transmission, processing + storage


12
New cards

What is selected?

Salient info → selected for bottom-up or top-down salience

13
New cards

What is bottom-up salience?

Salient aspects of the stimulus capture attention + drive the system from the bottom-up

14
New cards

What is top-down salience?

Internally determined (e.g. through motivation) salient content is selected form the top-down

15
New cards

How is salient information selected (different bases of attention)?

  • Location-based (spatial) attention

  • Feature-based attention

  • Object-based attention


<ul><li><p>Location-based (spatial) attention</p></li><li><p>Feature-based attention</p></li><li><p>Object-based attention</p></li></ul><p></p>
16
New cards

What were the initial models of (spatial) attention?

  • Spotlight model (expanded by Posner, 1980)

  • Zoom lens model (Eriksen + Yeh, 1985)


17
New cards

What is the spotlight model of (spatial) attention (Posner, 1980)?

Attention is restricted in space + moves from 1 point to the next → areas within the spotlight receive extra processing

<p>Attention is restricted in space + moves from 1 point to the next → areas within the spotlight receive extra processing</p>
18
New cards

What is the zoom lens model of (spatial) attention (Eriksen + Yeh, 1985)?

The attended region can grow/shrink depending on the size of the area to be processed

<p>The attended region can grow/shrink depending on the size of the area to be processed</p>
19
New cards

What is a criticism of initial models of (spatial) attention?

What about features → colour, motion + direction, orientation

20
New cards

How do we find the location of a feature (visual search) (Triesman + Gelade, 1980)

  • Feature search → target defined by the presence off a single feature

  • Conjunction search → target defined by the co-occurrence of 2 or more features

  • Shape (spatial configuration) search → the target + distractors contain the same basic, spatial features


<ul><li><p><strong>Feature search</strong> → target defined by the presence off a single feature</p></li><li><p><strong>Conjunction search</strong> → target defined by the co-occurrence of 2 or more features</p></li><li><p><strong>Shape</strong> (spatial configuration) <strong>search</strong> → the target + distractors contain the same basic, spatial features</p></li></ul><p></p>
21
New cards

What have we learnt from visual search literature?

Provided methods of quantifying attentional efficiency

  • The efficiency of visual search = average increase in RT for each item added to the display

  • Measured in terms of search slope or ms/item

    • Large search slope → less efficient search

      • Some searches are efficient + have small slopes (parallel)

      • Some searches are inefficient + have large slopes (serial)


22
New cards

What question of perception did the methods of visual search provide a way to investigate?

How are objects represented?

23
New cards

What are colour, motion and orientation represented by?

Somewhat specialised brain regions → e.g. motion in dorsal, orientation + colour in ventral stream

24
New cards
<p>How do we combine features of colour, motion and orientation when perceiving the bar?</p>

How do we combine features of colour, motion and orientation when perceiving the bar?

  • Challenge of binding different attributes of visual stimuli (which are handled by somewhat different brain circuits) to the appropriate object → perceive a unified object

  • Feature integration theory (Treisman + Gelade, 1980)


25
New cards

What is feature integration theory (Treisman + Gelade, 1980)?

  • A limited set of basic sensory features (colour, size, oreintation etc) can be processed/coded in parallel pre-attentively by specialised modules

    • Pre-attentive stage → the processing of a stimulus that occurs before selective attention is deployed to that stimulus

  • BUT other properties (including the correct binding of features to objects) require attention


26
New cards

In feature integration theory, what do the specialised modules (which code sensory features in parallel) form?

2 kinds of “maps”

  • Feature maps → colour maps, orientation maps etc

  • Master map of locations


<p>2 kinds of “maps”</p><ul><li><p>Feature maps → colour maps, orientation maps etc</p></li><li><p>Master map of locations</p></li></ul><p></p>
27
New cards

According to feature integration theory, what is the role of attention?

  • Moves within the location map

  • Selects whatever features are linked to that location

  • Features of other objects are excluded

  • Attended features are entered into the current temp object rep


<ul><li><p>Moves within the location map</p></li><li><p>Selects whatever features are linked to that location</p></li><li><p>Features of other objects are excluded</p></li><li><p>Attended features are entered into the current temp object rep</p></li></ul><p></p>
28
New cards

What are the weaknesses of feature integration theory?

  • Visual search paradigm produced data that weren’t consistent with FIT

    • Search is very fast only when the objects look 3D even though they consist of the same elements (Enns + Rensink, 1991)

  • Can we easily define a feature?

    • Kristjansson + Tse (2001)


<ul><li><p>Visual search paradigm produced data that weren’t consistent with FIT</p><ul><li><p>Search is very fast only when the objects look 3D even though they consist of the same elements (Enns + Rensink, 1991)</p></li></ul></li><li><p>Can we easily define a feature?</p><ul><li><p>Kristjansson + Tse (2001)</p></li></ul></li></ul><p></p>
29
New cards

What was Kristjansson and Tse’s (2001) research info defining features?

  • Faster detection of presence than absence → BUT what is the feature when the 2 shapes are the same

  • Search asymmetries exist because the visual system is highly sensitives to only certain types of info + attention guidance is connected to memory reps

  • Suggests the visual system seeks out discontinuities in curvature

    • Uses them + other cues to obtain a How can of the 2D retinal image


<ul><li><p>Faster detection of presence than absence → BUT what is the feature when the 2 shapes are the same</p></li><li><p>Search asymmetries exist because the visual system is <strong>highly sensitives to only certain types of info</strong> + <strong>attention guidance is connected to memory reps</strong></p></li><li><p>Suggests the visual system <strong>seeks out discontinuities in curvature</strong></p><ul><li><p>Uses them + other cues to obtain a <strong>How can</strong> of the 2D retinal image</p></li></ul></li></ul><p></p>
30
New cards

How can feature integration theory be viewed from a contemporary perspective?

  • Is a comprehensive theory of visual processing (not just attention)

    • Starts with the earliest stages of sensory encoding (parallel, serial) + ends with nature of the internals reps implicated in object recognition (Quinlan, 2003)

  • Too simple in its assumptions that feature binding/object formation requires attention

    • BUT cross-dimensional feature binding is an attention-demanding process

    • BUT location doe splay a key role in attentional selection


31
New cards

What is cross-modal perception and attention?

Integration of info from different senses → more reliable + coherent info about the world

  • Cross-modal cues are highly effective drivers of attention


<p>Integration of info from different senses → more reliable + coherent info about the world</p><ul><li><p>Cross-modal cues are highly effective drivers of attention</p></li></ul><p></p>
32
New cards

What are social cues to attention?

Body language + eye gaze cues are highly salient drivers of attention → can also be sued for misdirection (Kuhn + Land, 2006)

<p>Body language + eye gaze cues are highly salient drivers of attention → can also be sued for misdirection (Kuhn + Land, 2006)</p>