3 – Selective Attention selective attention attending to part of the environment while ignoring the rest Examples Listening to instructor while ignoring everything else Looking around a room for the face of your friend Spotlight Metaphor We must limit the scope of our attention because “attentional resources” are limited Example basketball pass demo (1:22) www.dansimons.com/videos.html (videos 1 and 2) or www.youtube.com/watch?v=vJG698U2Mvo
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3 – Selective Attention selective attention attending to part of the environment while ignoring the rest Examples Listening to instructor while ignoring.
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3 – Selective Attention
selective attention attending to part of the environment while ignoring the rest
Examples
Listening to instructor while ignoring everything else
Looking around a room for the face of your friend
Spotlight Metaphor
We must limit the scope of our attention because “attentional resources” are
In most situations, attentional capture is adaptive
While walking in woods, we notice snake in our path.
Air traffic controller notices flashing red light
In some situations, we must be able to resist attentional capture.
Example
School bus driver must ignore yelling kids
Student taking test must ignore coughs, door slams, etc.
Naturally, people vary in the ability to resist attentional capture
Experiment : Resisting Attentional Capture
Ss told to look at cross (+) and ignore intermittently flashing circles.
Square appeared in top or bottom location. (This repeated many times)
Ss pressed top or bottom key, respectively.
Results: ADHD kids made far more errors than controls did.
Implication: ADHD kids have a hard time resisting attentional capture.
(Bourel-Ponchel et al., 2010)
In 1913 Danish physicist Neils Bohr’s eponymous Model postulated atoms were formed of electrons orbiting a nucleus, much like planets around the sun – only using electrostatic attraction rather than gravity. Electrons have since been shown to be more akin to waves surrounding the nucleus, but teams in Austria and the US have shown they can be made to perform in the same way as planetary systems, and the technique can be used to change the overall size of the atom.The research, published in the journal Physical Review Letters was inspired in part by the function of Jupiter’s Lagrange points: Two specific points where forces of the Sun and the largest planetary gravity well in the Solar System cancel each other out. These collect matter, known as the Trojans, and the best guess is that the two belts contain more than a million asteroids over a kilometer in diameter.A team at the Vienna University of Technology performed the mathematics for the experiment and Rice University performed the actual experiment. They fired an atomic beam through a vacuum chamber and then crossed the stream with a tuned laser oscillating with the orbital period frequency of the electron around the nucleus.The laser created a localized electronic state that moves in a near-circular orbit around the nucleus, and they could then extend and reduce the size of the orbit by modulating the laser’s frequency. The team got an atom up to the size of a human blood cell during testing.The electron can only be controlled when the force is applied and then reverts to its natural state within a few cycles. Then again, Jupiter is not perfect either. Simulations suggest 17 per cent of the Trojans are unstable enough to fall out of the orbits and go wandering, potentially Earthward bound.The next step is to see if the technique can be used on multiple atoms simultaneously, and to monitor how they interact with each other during operations. Sandwiched between venerable classical physics and the extremes of quantum studies, mesoscopic physics is very much the red-headed stepchild of the physical sciences, but has huge potential. It generally deals with objects from an atom up to 1,000 nanometers – about the size of the average bacterium. By investigating the boundaries between the sub-atomic quantum world and everyday physics, mesoscopic scientists hope to find usable results that could have applications in both fields.
A team of scientists have discovered over 40 new species in southwestern Suriname survey.The team performed a three-week survey in three remote sites along the Kutari and Sipaliwini Rivers.“The goal of this expedition was to bring together the knowledge and expertise of local people with scientific knowledge to study and plan for monitoring of biological and cultural resources of the region.” The scientists surveyed a total of 1,300 species, including 400 plants, 90 aquatic beetles, 90 dung beetles, 76 katydids, 93 dragonflies and damselflies, 100 fishes, 57 reptiles and amphibians, 323 birds, 41 small mammals, 29 medium and large mammals.They also saw 14 threatened species of plants and animals that are listed on the International Union for Conservation of Nature’s Red List.Part of the list of new species includes a “cowboy frog” and a spiked species of armored catfish.The cowboy frog has white fringes along the legs, and a spur on the “heel.” The armored catfish has external bony plates and is covered with spines to help defend itself from giant piranhas.The researchers said that one of the local guides was about to eat the armored catfish as a snack, until scientists noticed its unique characteristics and preserved it.The team also found a “Great Horned Beetle” on their expedition. This beetle is “the size of a tangerine” and weighs over 0.2 ounces. It is metallic blue and purple, and posses a horn on its head used as a weapon to fight in battle.“The area was paradise for the entomologists among us, with spectacular and unique insects everywhere. I didn’t even have to look for ants because they jumped out at me”, Dr. Leeanne Alonso, a former CI RAP Director who is now with Global Wildlife Conservation, said in a press release.
Finding certain brand of cereal on grocery story shelf
Airport worker looking for knife in luggage scan
(Image from McCarley et al., 2004)
Typical Visual Search Experiment
S told what the target is.
Computer screen shows one target and 1 – 50 distractors.
S presses yes-key if target is there, no-key if target is not.
E measures RT.
Examples Find the I Find the I
1 distractor 50 distractors
(Treisman & Souther, 1985; Wolfe, 2001)
L L L L LL L L L L L L L LL L L L L LL L L L L L L LL L LL LL L L I L L LL L LL L L L L L L L
L
I
Find I among Ls
L L L L L L L
L LL L L
L L L I L L
L LL L L L
LL L L L
L L LL L
L LL L L L L L L L L L L L
L L L L
Find I among Ls (again)
L L L L L L LL L L LL L L
L L L L L L L L L L L L
L L L L
L L L L L L L L L L L
L L L L L L L
I L L L L L L LL
Find I among Ls (again)
L L L L L L L
L L L LL L L L
L L LL L L L
L L L L L L L
L L LL L
L L L L
L L L LL L L
Find I among Ls (again)
I
L
Find I among Ls (again)
L L L L L L L LL L
L L L L LL L L
L L L
L I L L L
L L LL L L LL L L L L L
L L L LL L
Find P among Bs
B B B B B B B
B B B B B B B BB B
B BB B B
B BB B BB B B B
B B P B BB B B B B BB B B B B
B B B B B
Find P among Bs (again)
B B B B B B BB B B
B B B BB B P B B
B B B B B B BB B B B
B B B B B B B B B B B B
B B B B B B B
B B B B B B BB B
Find P among Bs (again)
B B B B B B B
B B B BB B B B
B B BB B B B
B B B B B B B
B B BB B
B B B B
B B B BB B B
Find P among Bs (again)
B B B B B B BB B B
B B B B
B B B B
B B B B P B
B BB B
B B B BB B B B
B B B B B B B B B
Do all searches take longer when more distractors are added?
Find T among Ts
T T T T T T T T T T
T T T T T T T T
T T T T T T T T
T T T T T T T
T T T T T T T T
T T
T T T T T T T T T
Find among s
Can a target pop out if it’s the same color as the distractors?
Find X among Os
O O O O O
O O O O
O O O O
O O O
O O O O
O O O
O X O O
O O O O
O O O O
O O O
O O O O O O O O
O
Find X among Os (again)
O
X
Find X among Os (again)
O O O O O
O O O O
O O O O
O O O
O O O O
O O O
O O O
O O O O
O O O O
O O O
O O O O O O O O
O
Find | among
¾
¾ |
¾
¾
¾
¾
Two kinds of visual searches
pop-out RT unaffected by more distractors serial RT increases with more distractors(as if checking all items at once) (as if checking one object at a time)
Find X Find P
slope 0 slope 30 ms / item
Thus, all items are checked “instantly” Thus, 30 ms = average time to check
RT
# of distractors
Find Pamong Bs
B B B B B B BB B B B B
B B B B BB B B BB
B BB B B B B B B
B B P B BB B B B B B B BB B B B B B B B
RT
# of distractors
30 ms
1 item
Theoretical interpretation
Pop-out search is Serial search is
pre-attentional attentional
1) automatic 1) volitional
2) nearly unlimited capacity 2) very limited capacity
The big question:
What determines whether a target pops-out (i.e., is found without attention)?
Find O among Qs
Q Q Q Q QQ
Q Q Q
Q Q Q Q
Q Q Q Q Q
Q O Q Q Q
Q Q Q Q Q
Q Q Q Q
Q Q Q Q
Q Q Q Q Q
Q Q Q Q
Find O among Qs (again)
Q Q Q Q
Q Q Q
Q Q Q Q Q
Q Q Q
Q Q Q Q Q O
Q Q Q
Q Q Q Q Q
Q Q Q Q Q
Q Q Q Q Q
Q
Find O among Qs (again)
Q Q Q Q Q Q
Q Q
Q Q Q Q
Q Q Q Q
Q Q Q Q QQ
Q Q Q
Q Q Q
Q Q Q Q Q Q
O Q Q Q Q
Q Q Q Q
Find O among Qs (again)
Q Q Q Q QQ
Q Q Q
Q Q Q Q
Q Q Q Q Q
Q Q Q Q
Q Q Q Q Q
Q Q Q Q
Q Q Q Q
Q Q Q Q Q
Q Q Q Q
Find O among Qs (again)
Q
O
What if we switch target and distractors?
O among Qs serial
What about Q among Os?
Find Q among Os
O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O OO O O O O O O O O O Q O
Find Q among Os (again)
O O O O O O O O O OO O O O O Q O O O O O O OO O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O
Summary
X among Os pop-out
| among s pop-out
O among Qs serialQ among Os pop-out
Hypothesis?
feature-presence search You can simply look for presence of a distinguishing feature
Always pop-out
Examples
Search for object with black color
Search for object with X-shape
Search for object with vertical orientation
feature-absence search You must look for absence of distinguishing feature
Always serial
Examples
Must search for object without horizontal line
Must search for object without double hump
Must search for object without vertical line
Find Pamong Bs
B B B B B B BB B B B B
B B B B BB B B BB
B BB B B B B B B
B B P B BB B B B B B B BB B B B B B B B
What if search has two kinds of distractors?
Find X among Ts and Os
T T O T O T
T O O T
O T O O T
O T O O T
T O O T O
O T O T O
O T O O T T
O X O T
O O T T O T
O T O O
T T O T O T
O O T T
Find T among Ts and Os
T T O T O T
T O O T
O T O O T
O T O O T
T O O T O
O T O T O
O T O O T T
O T O T
O O T T O T
O T O O
T T O T O T
O O T T
T among Ts and Os pop-out
What about T among Ts and Os ?
T among Ts pop-out
T among Os pop-out
Find T among Ts and Os
T T O T O T
T O O T
O T O O T
O T O O T
T O O T O
O T O T O
O T O O T T
T T O T
O O T T O T
O T O O
T T O T O T
O O T T
Find T among Ts and Os (again)
T T O T O T
T O O T
T T O O T
O T O O T
T O O T O
O T O T O
O T O O T T
O T O T
O O T T O T
O T O O
T T O T O T
O O T T
Find T among Ts and Os (again)
T T O T O T T O O T
O T O O T O T O O
T
TO O T O O T O T
O
O T O O T T O T
O T
O O T T O T O T T O
T T O T O T O O T T
Find among s and s
Find among s and s
Find O among Os and Ns and Ns
feature conjunction search You must look for presence of two distinguishing features
Always serial
Example Find
Must find object that is black AND vertical
- - - - - - - -
Note distinction:
Target can be found by looking for object with one distinguishing feature pop-out
Target can be found only by looking for object with two distinguishing features serial
Overview of Demonstrations
distinguishingkind of
target distractors feature search result
I L horizontal bar
absence serial
X O X shape
presence pop-out
red X blue X red
presence pop-out
| vertical-ness
presence pop-out
Q O hook
presence pop-out
O Q hook
absence serial
red X blue T, green O red or X-shape presence
pop-out
red T blue T, green O red
presence pop-out
red T blue T, red O red and T -shape
conjunction serial
Which search produces pop-out, if either?
O among Cs
C among Os
Find O among Cs
C C C C C C C C
C C C C C C C C C CC C C C C C C C C C C C C C C C C CC C C C C C O C C C C C C C C C C CC C C C C C C C C
Find O among Cs (again)
C C C C C C O C CC C C C C C C C CC C C C C C C C C C C C C C C C C CC C C C C C C C C C C C C C C C C CC C C C C C C C C
Find O among Cs (again)
C C C C C C C C C
C C C C C C C C
C C C C C C C C C CC C C C C C O C C C C C C C C C C CC C C C C C C C C
Find C among Os
O O O O O O O O
O O O O O O O O O OO C O O O O O O O O O O O O O O O OO O O O O O O O O O O O O O O O O OO O O O O O O O O
Find C among Os (again)
O O O O O O O O OO O O O O O O O OO O O O O O O O OO O O O O O O O O O O O O O O C O OO O O O O O O O OO O O O O O O O O
Find C among Os (again)
O O O O O O O O OO O O O O O O O OO O O O O O O O OO O O O O O O O O O O O O O O O C O O O O O O O O O OO O O O O O O O O
C among Os O among Cs pop-out serial
Find
Find
More Asymmetries
Kristjansson & Tse (2001)
A different kind of asymmetry
pop-out serial
Enns & Rensink (1991)
Search Asymmetries
In some cases, swapping target and distractors changes search from serial to pop-out
(e.g., Wolfe, 2001)
With complex targets, RT slopes are steep
Find
Find “square”
Find normal face
Other questions…
Is a slow search even slower if distractors are not known in advance?
Find X
vs.
Find X among Xs and Os
Is feature-present search slower if there are many kinds of distractors?
Find T among Ts and Ts
vs.
Find T among Ts, Ts, Ts, Ts, Ts, and Ts
Still more searches Find
Find
(e.g., Li et al., 2008; Pinto et al., 2010, Wolfe, 2003; 2005)
Practice Questionsdistinguishing kind of
target distractors feature searchresult
red T blue T red
presence pop-out
red red | horizontal orientation presence
pop-out
red T blue O red or T presence
pop-out
blue T red T, blue O blue and T conjunction
serial
red T green T, blue O red presence
pop-out
Target = BLUE Q. Search is serial. Identify distractors.
C
A. red Qs B. blue Os C. blue Ts, red Qs
D. red Ts, green Qs
Target = GREEN O, Search is serial. Identify distractors.
B
A. red Os B. green Qs C. red Ts, blue Os
D. red Qs, blue Os
More Practice Questions
If one looks for a green I among green Ls, what kind of search is it? B
A. feature presence B. feature absence C. feature conjunction
If one looks for a blue O among red Os and green Ts, what kind of search is it? A
A. feature presence B. feature absence C. feature conjunction
If one looks for a blue O among red Os and blue Ts, what kind of search is it? C
A. feature presence B. feature absence C. feature conjunction
If RT is unaffected by the number of distractors, what kind of search is it? A
A. feature presence B. feature absence C. feature conjunction
The End
gorilla study based on earlier study by Neisser and Becklen (1975)
Dichotic listening studies (and 1000s of other studies) have led to two camps.
early selection theory
Early on, one message must be selected for processing of meaning.
Sample Evidence: Ss who didn’t notice “monsoon.”
late selection theory
Both messages can be partly processed before one must be selected.
Sample Evidence: Ss who shadowed wrong message after switch.
Truth is a complicated hybrid of two theories.
Unattended message processed “to some degree.”
Rancorous debate continues.
Selective Attention attending to part of the environment while ignoring the rest
Examples
Reading a book while ignoring extraneous noise
Selective Attention Demo.
First read the bold text. Then read the italicized text.
The Every fact man that gets some a geniuses narrower were and laughed narrower
at field does of not knowledge imply in that which all he who must are be laughed an
at expert are in geniuses. order They to laughed compete at with Columbus, other
they people. laughed The at specialist Fulton, knows they more laughed and at more
the about Wright less brothers. and But less they and also finally laughed knows at
everything Bozo about the nothing. Clown.
Konrad Carl Lorenz Sagan
The ability to “selective attend” varies across individuals.
Example
Classroom noise affects test scores of some people more than others.
Selective attention ability predicts performance on some tasks.
Correlational Study
E measured selective attention of fighter pilots (using auditory task).
Selective attention scores predicted flying skill (even though flying is visual).
However, ability to selectively attend might impair performance on some tasks.