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Visual Imagery Differences in the Recall of Pictures

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Abstract and Figures

Male and female subjects who differed in their verbal reports of visual image vividness were tested for recall in three experiments involving coloured photographs as stimuli. In all three experiments subjects who reported vivid visual imagery were more accurate in recall than subjects who reported poor visual imagery. In the first two experiments, females recalled more accurately than males. On the assumption that vividness reports and recall were both mediated by the same covert event - a visual image - these results provide further evidence that images have an important role in memory.
Content may be subject to copyright.
BY.
J.
Psychol.
(1973),
64,
1,
pp.
17-24
Printed in Great Britain
17
VISUAL IMAGERY DIFFERENCES IN THE
RECALL OF PICTURES
BY
DAVID
F.
MARKS
Department of Psychology, University of
Otago,
Dunedin, New Zealand
Male and female subjects who differed in their verbal reports
of
visual image vividness
were tested
for
recall in three experiments involving coloured photographs
as
stimuli. In all
three experiments subjects who reported vivid visual imagery were more accurate in recall than
subjects who reported poor visual imagery. In the first two experiments, females recalled more
accurately than males. On the assumption that vividness reports and recall were both mediated
by the same covert event
-
a
visual
image
-
these results provide further evidence that images
have an important role in memory.
In what ways, if any, does the recall of
a
man who states that
his
imagery
is
clear
and vivid differ from that of another who reports imagery that is vague and dim? A
number of recent studies (Paivio,
1969, 1970;
Bugelski,
1970)
have been interpreted
as
demonstrations of the functional significance of imagery in
tasks
involving
a
memory component. Can individual differences in verbal reports of imagery vividness
therefore be used
as
a
predictor of performance in memory tasks?
A
recent study by Sheehan
&
Neisser
(1969)
produced some evidence that vivid
imagery reports are correlated with accurate recall of geometric designs. Recall was
compared for subjects selected for their having high and low scores on
a
shortened
form of the Betts Questionnaire Upon Mental Imagery (Sheehan,
1967).
On the
principal
task
no difference in accuracy was obtained between the ‘high’ and ‘low’
imagers. Only for the recall of stimuli used in the incidental task was
a
difference in
accuracy observed. ‘High imagers’ were more accurate in incidental recall,
a
result
which has been confirmed by Ernest
&
Paivio
(1969, 1971).
Somewhat paradoxically,
in the light of the negative bebween-subjects results,
a
signscant within-subjects
relationship between accuracy and vividness was obtained
:
stimuli recalled with the
highest accuracy produced ratings of greater vividness than stimuli which gave
lowest accuracy.
It
should be noted, however, that Sheehan
&
Neisser
(1969)
obtained the vividness rating on each trial
after
recall. There is evidence (Marks,
1972
a)
that the rating-after-recall paradigm provides an artifactual basis for an
accuracy-vividness relationship. In this paradigm the subject can use
his
recall
performance
as
a
cue for the value
of
the vividness rating. If ratings are obtained
prior to recall, the within-subjects relationship between accuracy and vividness
disappears (Marks,
1972a).
The absence of
a
between-subjects effect on accuracy in the Sheehan
&
Neisser
(1969)
study encourages the view that verbal reports
of
image vividness are of little
predictive value,
a
conclusion reached by Neisser
(1970).
There are two reasons,
however, for not expecting (in retrospect)
a
large bebween-subjects dif€erence
in
the
Sheehan
&
Neisser study.
Firsb,
the ‘high’ and ‘low’ imagers were selected on the
basis of their vividness ratings for seven sensory modalities. While there
is
a
moder-
ately high correlation between ratings for different modalities (Betts,
1909),
Sheehan
2
PSY
64
18
DAVID
F.
MARKS
Table
1.
The rating scale used in the Vividness
of
Visual
Imagery Questionnaire
Rating Description
1
Perfectly clear and as vivid as normal vision’
2
‘Clear and reasonably vivid’
3
Moderately clear and vivid’
4
Vague and dim’
5
‘No
image at all,
you
only
know”
that
you
are thinking
of
the object’
&
Neisser’s
(1969)
task involved visual stimuli. Ratings of visual images would there-
fore have been
a
more relevanb basis for the selection of subjects. Secondly, while
little
is
known
aboub image vividness for different classes of stimuli,
it
is
not
un-
reasonable
to
suppose thab vividness will be related to the level of interest, meaning-
fulness and affect evoked by the stimulus which
is
imaged. Geometric designs probably
have rather low values along these variables, and recall differences beheen ‘high’
and ‘low
imagers could consequently be less marked for these stimuli than differences
in accuracy Chab might be obtained when other kinds of stimuli are presented.
16
is the purpose of this paper to describe three experiments which avoided these
bwo possible pitfalls of the Sheehan
&
Neisser
(1969)
study. Subjects for these
experiments, designated ‘good’ and ‘poor’ visualizers, were selected on the basis of
their ratings of visual imagery on
a
new questionnaire, the Vividness of Visual
Imagery Questionnaire (VVIQ). The stimuli were coloured photographs, either of
complete scenes
or
of groups of unrelated objects, and recall was tested using
a
multiple-choice question procedure.
EXPER~ENT
I
MetW
Subjecta
Seventy-four introductory psychology students completed the
VVIQ.
This is
a
brief 16-item
questionnaire with
a
test-retest reliability coefficient of
0.74
(n
=
68),
and
a
split-half reliability
coefficient of
0.85
(n
=
150).
The sixteen items of the
VVIQ
are
presented in the Appendix. The
image summoned for each item is rated along
a
five-point scale of vividness (see Table
l),
once
with the eyes open, and once with the eyes closed. On the basis of total scores on the
VVIQ,
the
18
lowest scorers (mean rating
1.64)
and the
18
highest scorers (mean rating
3.25)
were selected
to form two experimental groups: ‘good’ and ‘poor’ visualizers respectively. Nine females and
nine
males were placed in each group.
Stimulzcs
materials
The stimuli were
15
coloured photographs. Seven of these were photographs of sets of
16
unrelated objects in
a
random arrangement,
as
illustrated in Fig.
1.
The remaining eight stimuli
were photographs of complete scenes, e.g.
a
Venice canal,
a
New
York street scene,
a
group of
bathers,
a
market place, and
a
Turkish pavement scene. The stimuli were reproduced
as
colour
transparencies and
a
35
mm slide projector was used to project the stimuli on to
a
1.8
x 1.2
m.
screen at an average distance of about
5
m in front of the subjects.
Visual imagery differences in the recall
of
pictures
19
Fig.
1.
A
schematic version
of
one
of
the stimuli.
Procedure
Each trial consisted of three stages: stimulus presentation
(20
sec.),
a
delay
(40
sec.) and
questioning
(75
sec.). During the
fbt
30
sec. of the delay
a
subtraction task was performed. The
delay allowed after-images to disappear and the subtraction task provided
a
method for pre-
venting verbal rehearsal (cf. Peterson
&
Peterson,
1959).
After the delay the first of five
questions was read to the subjects and further questions were asked
at
the rate of one every
15
sec. To illustrate the type of questions, those employed for the stimulus of Fig.
1
were:
(1)
‘What number was written on the golf ball:
four,$ve,
or
six?’
(2)
‘What was in the bottom
right-hand corner:
clock, scissors,
or
qyphon?’
(3)
‘What was the time on the clock:
ten
to
seven,
ten
to
ten,
or
ten to four?’
(4)
‘Was the ballerina standing:
on
tiptoes, with one foot on the floor,
or
with both feet on the floor?’
(5)
‘What was directly below the suitcase:
bicycle, candle,
or
books?’
Subjects choso onc answer from the three provided, and wrote this on
a
rcsponse sheet.
The following instructions were read to the subjects:
‘You
will be shown
a
numbor of colour
slides. These display either groups of more
or
less unrelated objects
or
complete scenes.
Em11
trial
has three phases: presentation, counting, and questioning. After each slide has been
presented for
a
short period
of
time,
a
three-figure number will be read to you.
As
soon
as
you
2-2
20
DAVID
F.
~KS
Table
2.
Mean number
of
correct answers per trial
for
‘good’
and
‘poor’ visualizers
of
each sex (Expt. I)
Females Males Mean
Good
visualizers
3.24 3.11 3.17
Poor
visuelizers
3.02 2.68
2.85
Mean
3.13
2.89
3.01
hear this number, count silently back from it in threes until you hear the word “Stop”.
For
example, if you hear
“794”
start
counting to yourself “seven-hundred and ninety-four, seven-
hundred and ninety-one, seven-hundred and eighty-eight”, etc.
A
metronome
will
count time
for you and you have to try
to
keep up with its beat.’ [The subtraction task was then demon-
strated with the metronome set at
0.5
beat per sec.] ‘When you
are
told
to
stop counting, write
down on the response sheet the number you have arrived at. During
this
counting period you
should try to keep in mind
a
“picture” of the displayed slide. This should include,
as
far
as
possible, details of the shape, colour, and relative positions of different aspects and components
of the pictorial display. After the counting period is over, the questioning phase
will
begin.
During this you
will
be asked
to
answer a number of questions concerning details of the slide you
have just seen. Three alternative answers are provided for each question. Don’t give your
answer until you have head
all
three possibilities. If you are unsure, just guess. You
write
down
the answer
to
each question in the appropriate box of the response sheet. There
will
be five
questions for each slide. After the five questions for one slide have been asked,
a
new slide is
presented, and
so
on.
Before the
14
experimental trials, there were two practice trials, one to practise the subtraction
task, the other to practise the complete procedure. The experiment was conducted in two large
group sessions with approximately equal numbers of male and female subjects of each imagery
level
at
each session.
Results
The dependent variable was the mean number of correct answers per
trial.
The
maximum score therefore was
5.00
and the level of accuracy obtainable by chance
was
1.67.
A
2x2
analysis of variance revealed signscant effects for ‘visualizing
ability’
(P
=
8-72;
d.f.
=
1’32;
P
<
0.01)
and sex
(P
=
4-63;
d.f.
=
1, 32;
P
<
0.05).
The ‘visualizing ability’ by sex inberaction was not significant
(P
<
1.00).
Table
2
gives the mean accuracy scores for the four categories of subjects. ‘Good visualizers’
answered more questions correctly than
poor visualizers
’,
and females were more
accurate than males.
EXPEREVENT
I1
Nethod
Subjects
One hundred and sixteen school children aged
16-18
years completed the
VVIQ.
Eight of the
lowest scorers (mean rating
1-63)
and eight of the highest scorers (mean rating
3.16)
were selected
for the experiment, and designated ‘good’ and ‘poor’ visualizers respectively. There were four
males and four females in each group.
Stimulwr
llaateriala
Eleven of the transparencies used in Expt.
I
were presented, six which displayed complete
scenes, and five which displayed unrelated objects.
A
35
mm
slide projector was used to project
stimuli on to
a
display area of
93
x
65
cm at
a
distance of
1
m from the subject’s eyes.
Visual imagery differences in
the
recall
of
pictures
21
Table
3.
Mean number
of
correct answers per trial
for
‘good’
and
‘poor’ visualizers
of
each sex (Expt.
11)
Females Males Mean
Good
visualizers
3.80 3-35 3.57
Poor
visualizers
3.22 2.87 3.05
Mean
3.51
3.11
3.31
Procedure
A
few changes were
made
to the procedure of Expt.
I.
The total delay between stimulus offset
and questioning was increased to
50
sec.
and in
a
10-sec.
interval prior to questioning subjects
were asked to rate the vividness of their image of the stimulus display along the five-point scale
of Table
1.
Subjects were tested individually to allow
a
recording of eye movements
(Marks,
1972a,
b)
and the subtraction task was performed aloud. The metronome was not used to pace
subjects’ subtractions and subjects were told: ‘Count aloud and count
as
quickly
as
you can.’
The
only
other change
in
the instructions used for Expt.
I
was with regard
to
the vividness
rating. The following extra instruction was given: ‘After the counting period is over, there
will
be
a
short delay and then
I
would like you to give
a
rating from
1
to
5
of how vivid and clear
your image was.
The vividness scale of Table
1
was then presented verbally. After two practice
trials, ten experimental trials were presented.
Results
Accuracy.
A
2
x
2
analysis of variance was conducted on the mean numbers of
correct answers. The results replicated the findings of Expt.
I
at
higher levels of
significance. Significant effects were obtained for ‘visualizing ability’
(F
=
14.62;
d.f.
=
1,12;
P
<
0.005)
and sex
(F
=
8.49;
d.f.
=
1,12;
P
<
0.025).
As
before, the
interaction was not significant
(F
<
1.0).
As
shown in Table
3,
‘good visualizers’
were superior
to
‘poor visualizers’, and females were superior to males.
Vividness.
Each subject rated the vividness of the image he had
on
each trial,
using the five-point scale of Table
1.
The ten such ratings given by each subject were
averaged. The mean results appear in Table
4.
A
2
x
2
analysis of variance showed
‘visualizing ability’ to be the only significant effect
(F
=
6.75;
d.f.
=
1’12;
P
<
0.025).
Not surprisingly, given the subject selection procedures, ‘good visualizers
reported having more vivid imagery than ‘poor visualizers’.
Accuracy related
to
vividness.
As
indicated by Table
3,
the between-groups relation-
ship between accuracy and vividness was strong. The within-subjects results were
analysed
as
follows.
For
each subject the rating on the trial with the fewest errors
was compared to that obtained on the trial with most errors. If more than one
trial
gave best
or
worst recall, the mean vividness rating for such trials was calculated.
The mean rating of
2-79
for best recall did not differ significantly from the mean of
2-70
obtained for worst recall
(t
<
1.0).
The absence of
a
signscant accuracy-
vividness relationship, within-subjects, may be attributed
to
the small within-subject
variation in the ratings (mean range
2.0).
Such homogeneiby in the experimental
ratings was to be expected since subjects had been selected for their giving either
consistently high
or
consistently low ratings on the
WIQ.
The present results
contrast with those obtained using the rabing-after-recall paradigm (Bowers,
1931;
Sheehan
&
Neisser,
1969).
22
DAVID
F.
MARKS
Table
4.
Mean vividness ratings
for
‘good’
and
’poor’
visualizers
of
each sex
Females Males Mean
Good
visualizers 2.63 2.73 2.68
Poor
visualizers 3.48 3.05 3.26
Mean
3.05
2.89 2.97
EXPERIMENT
I11
In Expts.
I
and
I1
it
was demonstrated that verbal reports of visual-image vivid-
ness can be reliable predictors of recall-accuracy of information contained in pictures.
In addition, female subjects, matched in terms of their image-vividness ratings with
a
group of males, recalled more accurately pictorially presented information.
An
analysis of the difficulty of the questions used in Expts.
I
and
I1
revealed that only
about half the questions actually discriminated between subjects. The remainder
were answered either correctly
or
incorrectly by nearly everybody. These questions
were therefore replaced by others which were more discriminating.
Method
Subjecta
Seventy-five introductory psychology students completed the
VVIQ.
The
18
lowest scorers
(mean rating
1-48)
and the
18
highest scorers (mean rating
3.20)
were selected to participate in
the experiment. These formed two experimental groups, ‘good visualizers’ and
‘poor
visualizers’
respectively.
Nine
females and nine males were placed in each group.
Stimulus lnaterials
1.2
m screen at an average distance of about
5
m in front
of
the subjects.
The same stimuli were used
as
those employed
in
Expt.
11.
These were projected on to
a
1.8 x
Procedure
The procedure was the same
as
that used for Expt.
I
except that the questions were recorded
in
a
female voice and presented to the subjects from
a
tape-recorder at the
rate
of one every
20
sec. The subtraction task was performed silently and at each subject’s
own
rate.
Results
A
2
x
2
analysis of variance revealed that ‘visualizing ability’ was the only signifi-
cant effect
(F
=
7.52; d.f.
=
1’32; P
<
0.01).
Both the sex and the interaction
effects gave
F
values lower than
1.0.
Table
5
shows the mean accuracy scores for Che
various categories of subject.
As
in Expts.
I
and
11,
‘good visualizers’ answered more
questions correctly than ‘poor visualizers
’.
A
comparison with the data of Expt.
I
(see Table 2) shows that while the average
accuracy of females in the two studies is nearly identical, males gave more accurate
recall in Expt.
111.
This improvement in accuracy was not statistically significant
(t
<
I-O),
but
it
substantially reduced the male-female accuracy difference obtained
in Expts.
I
and
11.
Further studies may determine which of the procedural differences
could have led to
this
improvement in the males’ accuracy of recall.
Visual imagery digerences in the recall
of
pictures
23
Table
5.
Mean number
of
correct answers per trial
for
‘good’
and
‘poor’ visualizers
of
each
sex (Expt.
III)
Females Males
Mean
Good
visualizers
3.35 3.25 3.30
Poor
visualizers
2.89 2.81 2.85
Mean
3.12 3.03 3.08
DISCUSSION
Am
unexpected result in Expts.
I
and
I1
was the superiority of females over males
in the accuracy of recall. Ernest
&
Paivio
(1971)
obtained the same finding in both
free recall and incidental recall of verbal and pictorial stimuli and Expts.
I
and
I1
support Ernest
&
Paivio’s
(1971,
p.
71)
conclusion that ‘in some tasks, females “use”
imaginal processes to facilitate recall whereas males do not
’.
In all three of the experiments described, verbal reports of visual image vividness
were found to be reliable predictors of accuracy in the recall of information contained
in pictures. The differences in accuracy observed between ‘good’ and ‘poor visu-
alizers
’,
operationally defined in terms of their average vividness ratings, have
a
combined probability of occurring by chance
of
much lower than
0.001.
These
results contradict therefore the data of Sheehan
&
Neisser
(1969)
and the conclusions
drawn from these data by Neisser
(1970).
On the assumption that vividness ratings
and recall are both mediated by the same coverb evenb
-
a
visual image -these
results can be interpreted as providing further evidence that images have an import-
ant function in memory. Image vividness, these data suggest, facilitates accurate
recall.
REFERENCES
BETTS,
G.
H.
(1909).
The distribution and functions of mental imagery.
Columb. Univ. Contrib.
BOWERS,
H.
(1931).
Memory and mental imagery.
Br.
J.
Psychol.
21, 271-282.
BUGELSKI, B.
R.
(1970).
Words and things and images.
Am.
Psychol.
25, 1002-1012.
ERNEST,
C.
H.
&
PAIVIO, A.
(1969).
Imagery ability in paired-associate and incidental learning.
ERNEST,
C.
H.
&
PAIVIO, A.
(1971).
Imagery and sex differences in incidental recall.
Br.
J.
MAFCES,
D.
F.
(1972~).
Individual differences in the vividness of visual imagery and their effect
on function. In
P.
W.
Sheehan (ed.),
The Function
and
Nature
of
Imagery.
New
York:
Academic
Press.
MARKS,
D.
F.
(19723).
Visual imagery differences and eye movements in the recall of pictures.
(In preparation.)
NEISSER, U.
(1970).
Visual imagery
aa
process and experience. In
J.
S.
Antrobus (ed.),
Cognition
and
Affect.
Boston: Little, Brown.
PAMO, A.
(1969).
Mental imagery in associative learning and memory.
Psychol. Rev.
76,241-263.
PAIVIO, A.
(1970).
On the functional significance
of
imagery.
Psychol. Bull.
73,385-392.
PETERSON,
L.
R.
&
PETERSON,
M.
J.
(1959).
Short-term retention of individual verbal items.
SHEEHAN,
P.
W.
(1967).
A
shortened form
of
Betts’ Questionnaire Upon Mental Imagery.
J.
SHEEHAN,
P.
W.
&
NEISSER,
U.
(1969).
Some variables affecting the vividness
of
imagery in
(Manuscript received
23
November
1971)
Educ.
26,l-99.
Psychon. Sci.
15, 181-182.
Pwchol.
62, 67-72.
J.
exp. Psychol.
58, 193-198.
clin. Psychol.
23,386-389.
recall.
Br.
J.
Psychol.
60, 71-80.
24
DAVID
F.
MARKS
APPENDIX
Items contained in the Vividness
of
Visual Imagery Questionnaire
For
items
1-4,
think of some relative
or
friend whom you frequently see (but who
is
not with you
at
present) and consider carefully the picture thab comes before your
mind’s eye.
Item
1.
The exact contour
of
face, head, shoulders and body.
2.
Characteristic poses
of
head, attitudes of body, etc.
3.
The precise carriage, length of step, etc., in walking.
4.
The Merent colours worn in some familiar clothes.
Visualize
a
rising sun. Consider carefully the picture that comes before your mind’s
eye.
Item
5.
The sun is rising above the horizon into
a
hazy sky.
6.
The sky clears and surrounds the sun with blueness.
7.
Clouds.
A
storm blows up, with flashes of lightning.
8.
A
rainbow appears.
Think of the front
of
a
shop which
you
often go to. Consider the picture that comes
before your mind’s eye.
Item
9.
The overall appearance
of
the shop from the opposite side of the road.
10.
A
window display including colours, shapes and details
of
individual items for
11.
You are near the entrance. The colour, shape and details
of
the door.
12.
You enter the shop and go to the counter. The counter assistant serves you.
Finally, think of
a
country scene which involves trees, mountains and
a
lake.
sale.
Money changes hands.
Consider the picture that comes before your mind’s eye.
Item
13.
The contours
of
the landscape.
14.
The colour and shape
of
the trees.
15.
The colour and shape
of
the lake.
16.
A
strong wind blows on the trees and on the lake causing waves.
... The most commonly used questionnaire to measure the clarity and vividness of an individual's mental imagery is the Vividness of Visual Imagery Questionnaire (VVIQ; Marks, 1973), and this is the method utilized by the current study. People are asked to mentally imagine various scenarios and rate the vividness of that image on a Likert scale. ...
... High-visualizers nonetheless performed better than low-visualizers on all working memory tasks, which is hard to fully reconcile with their conclusion. Marks (1973) provided similar results from his experiments. "Good" and "poor" visualizers were selected based on their scoring on the VVIQ. ...
... After the vividness rating they were asked questions about the images, for example, "What was the time on the clock?: ten to seven, ten to ten, or ten to four?". The results indicated that verbal reports of the vividness of visual images were reliable predictors of accuracy in retrieving information contained in pictures (Marks, 1973). Similar results have also been found in other experiments regarding long-term recall of pictorial details being better for high-visualizers (see e.g., Hanggi, 1989;Marks, 1973). ...
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Visual mental imagery, or the ability to see with the mind’s eye, varies between individuals. The vividness of visual imagery ranges from people with aphantasia who experience no mental image at all, to those with hyperphantasia who experience very clear and vivid mental imagery. In the present study we investigated the possible connection between the vividness of visual mental imagery and precision of information retrieval from visual memory. We predicted that people experiencing weak or no mental imagery are poorer at retrieving information with great details from memory, such as the color of objects, than those experiencing strong and vivid mental imagery. This was tested in three experiments: a visual perception task, a visual working memory task, and a long-term visual memory task. The Vividness of Visual Imagery (VVIQ) questionnaire was used to assess imagery vividness. The perception task served as a control. A colored sample object and a grayscale test object were presented simultaneously. In the working memory and long-term memory tasks, a delay was added between the presentation of colored sample objects and grayscale test objects. Participants were asked to adjust the test object’s color until it matched that of the corresponding sample object. Our findings indicate no association between mental imagery vividness and memory precision. Possible explanations for this lack of an association are discussed.
... In an exploratory analysis, we investigated if there is a relationship between the participants' ability to evoke vivid mental images and the neural representations in the alpha band of such mental images. We correlated their scores in the Vividness of Visual Imagery Questionnaire (VVIQ) 33 , which they provided online during recruitment, www.nature.com/scientificreports/ with their peak in mean pairwise scene decoding and cross-decoding accuracy in the alpha band. ...
... One participant was excluded from all analyses because they did not complete the imagery task due to a technical error during the EEG recording. During recruitment, participants filled in a German translation of the Vividness of Visual Imagery Questionnaire (VVIQ) 33 www.nature.com/scientificreports/ so that higher scores indicate better imagery performance and participants were only allowed to take part if they had a VVIQ score of at least 24/80, since scoring lower would constitute moderate to severe aphantasia 48 . ...
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Imagining natural scenes enables us to engage with a myriad of simulated environments. How do our brains generate such complex mental images? Recent research suggests that cortical alpha activity carries information about individual objects during visual imagery. However, it remains unclear if more complex imagined contents such as natural scenes are similarly represented in alpha activity. Here, we answer this question by decoding the contents of imagined scenes from rhythmic cortical activity patterns. In an EEG experiment, participants imagined natural scenes based on detailed written descriptions, which conveyed four complementary scene properties: openness, naturalness, clutter level and brightness. By conducting classification analyses on EEG power patterns across neural frequencies, we were able to decode both individual imagined scenes as well as their properties from the alpha band, showing that also the contents of complex visual images are represented in alpha rhythms. A cross-classification analysis between alpha power patterns during the imagery task and during a perception task, in which participants were presented images of the described scenes, showed that scene representations in the alpha band are partly shared between imagery and late stages of perception. This suggests that alpha activity mediates the top-down re-activation of scene-related visual contents during imagery.
... Although the condition may in some instances be multi-sensory (a subset of individuals with aphantasia report a lack of imagery across sensory modalities [8]), it has mostly been examined in the context of just one or a small subset of senses [5] with visual imagery being especially prominent [18]. Aphantasia can be assessed using subjective reports like the Vividness of Visual Imagery Questionnaire [21,22], but recent research has focused on differences between individuals with aphantasia and those without on a variety of cognitive tasks. The goal of the majority of these studies is to establish objective perceptual and/or cognitive indices of the condition. ...
... Auditory memory is inferior to visual memory (Cohen et al., 2009), and how well people imagine affects their ability to recall. (Marks, 1973;Penney, 1989). We only used data from scenes recalled successfully, meaning presence-absence of external modality is less likely to be found in brain regions involved in auditory features than in those involved in visual features. ...
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Recall is an act of elicitation of emotions similar to those emotions previously experienced. Unlike the past experiences where external sensory stimuli triggered emotions, recall does not require external sensory stimuli. This difference is pertinent to the key debate in affective representation, addressing whether the representation of valence is consistent across modalities (modality-general) or dependent on modalities (modality-specific). This study aimed to verify neural representations of valence irrespective of the presence of external sensory stimuli. Using neuroimaging data from video watching and recall (Chen et al., 2017) and behavioral data for valence ratings (Kim et al., 2020), a searchlight analysis was conducted with cross-participant regression-based decoding across the presence and absence of external stimuli. Multidimensional scaling was employed as a validation analysis of the results. The searchlight analysis revealed the right middle temporal and inferior temporal gyrus as well as the left fusiform gyrus. The validation analysis further exhibited significant consistent neural representations of valence in the inferior temporal gyrus and the left fusiform gyrus. This study identified the brain regions where valence is consistently represented, regardless of the presence of external sensory stimuli. These findings contribute to debate in affective representations, by comparing conditions utilized little in prior, suggesting the inferior temporal gyrus is related to representations of valence irrespective of the presence and absence of external visual stimuli.
... To control for possible between-group differences and to consider the influence on body size representation, these variables were measured. Specifically, participant's body dissatisfaction was measured by means of the Body Shape Questionnaire (BSQ) (Cooper et al., 1987), while their visual imagery skills were evaluated using the Vividness of Visual Images Questionnaire (VVIQ) (Marks, 1973). ...
... This was done for two different stimulus categories, lower-level ambiguous and unambiguous 3D cube stimuli and for a new higher-level ambiguous Letter /Number icon stimulus, inducing either the percept of the number "8" or the letter "S", and unambiguous variants thereof 34 . We further correlated the amount of Real and Imaginary Condition with the results from the VVIQ questionnaire 35 . With this paradigm we tested the following hypotheses: ...
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During visual imagination a perceptual representation is activated in the absence of sensory input. This is sometimes described as seeing with the mind’s eyes. A number of physiological studies indicate that the brain uses more or less the same neural resources for real visual perception and visual imagination. The intensity of visual imagination is typically assessed with questionnaires, while more objective measures are missing. Aim of the present study was, to test a new experimental paradigm that may allow to objectively quantify imagination. For this we used priming and adaptation effects during observation of ambiguous figures. Our perception of an ambiguous stimulus is unstable and alternates spontaneously between two possible interpretations. If we first observe an unambiguous stimulus variant (the conditioning stimulus), the subsequently presented ambiguous stimulus can either be perceived in the same way as the test stimulus (priming effect) or in the opposite way (adaptation effect) as a function of the conditioning time. We tested for these classical conditioning effects (priming and adaptation) using an ambiguous Necker Cube and Letter /Number stimuli as test stimuli and unambiguous variants thereof as conditioning stimuli. In a second experimental condition, we tested whether the previous imagination of an unambiguous conditioning stimulus variant – instead of its observation – can have similar conditioning effects on the subsequent test stimulus. We found no systematic classical conditioning effect on the group level, neither for the cube stimuli nor for the letter/number stimuli. However, highly significant correlations between effects of Real and Imaginary condition were observed for both stimulus types. The absence of classical condition effects at the group level may be explained by using only one conditioning time, which may fit with individual priming and adaptation constants of some of our participants but not of others. Our strong correlation results indicate that observers with clear classical conditioning effects have about the same type (priming or adaptation) and intensity of imaginary conditioning effects. As a consequence, not only past perceptual experiences but also past imaginations can influence our current percepts. This is further confirmation that the mechanisms underlying perception and imagination are similar. Our post-hoc qualitative observations from three self-defined aphantasic observers makes our paradigm a promising objective measure to identify aphantasia.
... We also administered a Vividness of Visual Imagery Questionnaire [46] (VVIQ) before the start of the experiment along with questionnaires of perceived psychological traits such as motivation, alertness, and frustration after each session. Participants' attention and engagement throughout the experiment were also monitored using eye tracking and pupillometry. ...
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Visual imagery, or the mental simulation of visual information from memory, could serve as an effective control paradigm for a brain-computer interface (BCI) due to its ability to directly convey the user’s intention with many natural ways of envisioning an intended action. However, multiple initial investigations into using visual imagery as a BCI control strategies have been unable to fully evaluate the capabilities of true spontaneous visual mental imagery. One major limitation in these prior works is that the target image is typically displayed immediately preceding the imagery period. This paradigm does not capture spontaneous mental imagery as would be necessary in an actual BCI application but something more akin to short-term retention in visual working memory. Results from the present study show that short-term visual imagery following the presentation of a specific target image provides a stronger, more easily classifiable neural signature in EEG than spontaneous visual imagery from long-term memory following an auditory cue for the image. We also show that short-term visual imagery and visual perception share commonalities in the most predictive electrodes and spectral features. However, visual imagery received greater influence from frontal electrodes whereas perception was mostly confined to occipital electrodes. This suggests that visual perception is primarily driven by sensory information whereas visual imagery has greater contributions from areas associated with memory and attention. This work provides the first direct comparison of short-term and long-term visual imagery tasks and provides greater insight into the feasibility of using visual imagery as a BCI control strategy.
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The human ability to perceive vivid memories as if they “float” before our eyes, even in the absence of actual visual stimuli, captivates the imagination. To determine the neural substrates underlying visual memories, we investigated the neuronal representation of working memory content in the primary visual cortex of monkeys. Our study revealed that neurons exhibit unique responses to different memory contents, using firing patterns distinct from those observed during the perception of external visual stimuli. Moreover, this neuronal representation evolves with alterations in the recalled content and extends beyond the retinotopic areas typically reserved for processing external visual input. These discoveries shed light on the visual encoding of memories and indicate avenues for understanding the remarkable power of the mind’s eye.
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This indispensable sourcebook covers conceptual and practical issues in research design in the field of social and personality psychology. Key experts address specific methods and areas of research, contributing to a comprehensive overview of contemporary practice. This updated and expanded second edition offers current commentary on social and personality psychology, reflecting the rapid development of this dynamic area of research over the past decade. With the help of this up-to-date text, both seasoned and beginning social psychologists will be able to explore the various tools and methods available to them in their research as they craft experiments and imagine new methodological possibilities.
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Considers nonverbal imagery and verbal symbolic processes in relation to associative learning and memory. These 2 hypothesized processes are operationally distinguished in terms of stimulus attributes and experimental procedures designed to make them differentially available as associative mediators or memory codes. The availability of imagery is assumed to vary directly with item concreteness or image-evoking value, whereas verbal processes are presumably independent of concreteness but functionally linked to meaningfulness (m) and codability. Stimulus characteristics are hypothesized to interact with mediation instructions, presentation rates, and type of memory task. Performance and subjective-report data resulting from experimental tests of the model indicated that imagery-concreteness is the most potent stimulus attribute yet identified among meaningful items, while m and other relevant attributes are relatively ineffective; that both processes can be effectively manipulated by mediation instructions, but imagery is a "preferred" mediator when at least 1 member of the pair is relatively concrete; and that the 2 mechanisms are differentially effective in sequential and nonsequential memory tasks. Findings substantiate the explanatory and heuristic value of the imagery concept. (4 p. ref.)
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Explores and evaluates the current renaissance of interest in imagery as a cognitive mechanism, with reference to its role in associative learning, mediation, meaning, and personality. The variable of time is stressed in the formation of effective imagery in mnemonic research. Experiments are described in which Ss, instructed to image but not to learn, were unable to prevent learning. Imagery is relatively free from interference in memorizing successive lists, and highly effective in recall of long lists of concrete and abstract words. Abstract words are frequently transposed into concrete representations. Research employing 3-6 yr. old deaf children without language of any known variety supports assumptions about imagery. (30 ref.) (PsycINFO Database Record (c) 2012 APA, all rights reserved)
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Briefly reviews the historical background of the concept of imagery, focusing on its postulated role in learning and memory. A general overview of contemporary theoretical and operational approaches to the problem is presented, and a review of studies that illustrate 1 specific approach in which imagery is operationally defined in terms of stimulus meaning. The implications of these and other findings are discussed in relation to children's learning and possible developmental changes in imaginal and verbal symbolic processes generally. (37 ref.) (PsycINFO Database Record (c) 2012 APA, all rights reserved)
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Groups of vivid and poor visualizers were given a picture memory task. and horizontal and vertical components of the electro-oculogram were recorded. This allowed a detailed investigation of each S’s eye movements in the perception. imagery, and recall phases of the task. The vivid visualizers gave a higher accuracy of recall Eye movement rate was lower in visual imagery than it was in perception, especially in the goup of vivid visualizers. There was some evidence of scanning activity prior to recall, but only if positional cues were provided or if recall was incorrect. No scanning occurred prior to accurate recall unprompted by a positional cue. These results provide no support to the theories of image construction proposed by Hebb (1949, 1968) and Neisser (1967). As suggested by Singer (1966), an absence of eye movement may be a necessary condition for vivid visual imagery.
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Taught 263 undergraduates differing in imagery ability according to tests of spatial ability a paired-associate (PA) list in which either the stimulus or response members were Stroop-type color-word compounds. Either the color name or the color served as the functional attribute. Imagery ability was unrelated to PA learning, but high-imagery Ss were superior to low-imagery Ss in their incidental memory for the irrelevant components of the compound units. The effect was particularly strong in the 2nd of 2 experiments. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
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Male and female subjects who differed on measures of imagery ability were tested for incidental recall in two experiments involving pictures and words as stimuli. In one experiment, high-imagery males surpassed their low-imagery counterparts in intentional free recall of words, but the reverse relation occurred with females. No relation was obtained between imagery ability and incidental recall for stimulus colour. However, the colours were recalled better when associated with pictures rather than words as stimuli, suggesting an effect of stimulus concreteness on visual memory. The orientating task in the second experiment was item recognition. High-imagery subjects were more accurate than low-imagers in the recognition task, and high-imagery females (but not males) surpassed their low-imagery counterparts in incidental recall of the stimuli.
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