| Volume 4, Number 10, Article 5, Pages 891-903 |
doi:10.1167/4.10.5 |
http://journalofvision.org/4/10/5/ |
ISSN 1534-7362 |
The perceptual and cognitive distractor-previewing effect
Atsunori Ariga |
Department of Psychology, Hiroshima University, Hiroshima, Japan |
|
Jun-ichiro Kawahara |
Department of Psychology, Hiroshima University, Hiroshima, Japan |
|
Abstract
The time it takes to respond to an odd-colored target (e.g., a red diamond among green diamonds) is reduced when distractor-colored items in an appropriate geometric configuration (e.g., multiple red diamonds) are previewed in a preceding trial. B. A. Goolsby and S. Suzuki ( 2002) suggested that this phenomenon, the distractor-previewing effect, occurs because target saliency is increased by global adaptation to the previewed distractors. The present study tested and extended this idea with visual search experiments using color, face, motion, and word stimuli. We found that the distractor-previewing effect can be obtained with all of these stimuli. In particular, we found that the distractor-previewing effect was elicited by prior activation of distractors by word labels, suggesting a high-level locus for the effect.
History
Received October 12, 2003; published October 27, 2004
Citation
Ariga, A. & Kawahara, J.-i. (2004). The perceptual and cognitive distractor-previewing effect.
Journal of Vision, 4(10):5, 891-903,
http://journalofvision.org/4/10/5/,
doi:10.1167/4.10.5.
Keywords
distractor-previewing effect, pop-out, visual search, semantic activation, perceptual adaptation
for related articles by these authors
for papers that cite this paper |
We may find that little effort is required to detect
the presence of a unique item in a stimulus array (e.g., finding a mature red
tomato within a group of green ones). This efficient visual search effect,
called “pop-out,” occurs when the target is defined by a unique
feature (Treisman & Gelade, 1980). The
phenomenon of pop-out, supported by reaction times that are unchanged by the
presence of different numbers of distractors, implies that the visual system can
detect in parallel and over the visual field a unique feature that defines the
target.
Such efficient visual search performance has been
attributed, mainly, to bottom-up components of visual input. Support for this
notion has been obtained from visual search tasks using odd-ball targets. For
example, Bravo and Nakayama ( 1992) argued that
if the observers did not have knowledge about the target-defining feature (i.e.,
a red target among green distractors or a green target among red distractors)
before the stimulus onset, the target could be detected only on the basis of the
bottom-up perceptual salience of the odd-colored target. Thus, the time needed
to visually detect a target should decrease with set size because a larger
distractor density provides stronger feature gradient and local feature
contrast, and also facilitates grouping of distractors (e.g., in the limit of
the highest distractor density, a green spot would be presented in a uniform red
background) (Bravo & Nakayama, 1992;
Humphreys, Quinlan, & Riddoch, 1989).
In addition to the effects of bottom-up signals,
Maljkovic and Nakayama ( 1994) revealed that the
efficiency of visual search could be modulated by a sort of memory related to
the relationships between trials. In one of their experiments, they presented
three colored (red or green) diamonds, each with a chipped corner (right or left
side), and asked observers to indicate the missing corner of an incongruently
colored diamond. They found that visual search performance was enhanced by
repeating a specific pair of colors, applied to the target and distractors. For
example, the reaction times in a trial with a red target and green distractors
were less when the red target and green distractors were presented in an
immediately preceding trial. Maljkovic and Nakayama ( 1994) labeled this facilitation as the priming of
pop-out. This effect, due to color-based priming, cannot be attributed to
response-based priming because the observer responds to the target shape in the
color-singleton search, as in Bravo and Nakayama ( 1992). When the target location is pre-cued in the
current trial, this priming effect of the immediately preceding trial is
eliminated (Goolsby & Suzuki, 2001a); thus,
encoding the preceding display primes the direction of attention to the
color-singleton target in the current trial.
Goolsby and Suzuki ( 2001b) reported that such a priming effect is
obtained, regardless of the necessity to encode both target and distractor
colors in the immediately preceding trial; that is, encoding only the distractor
color is sufficient for priming to take place. They modified the procedure used
in Goolsby and Suzuki ( 2001a) so that a trial
with distractors only was inserted among the trials that required the observer
to identify the chipped side of the incongruently colored diamond. In those
trials with no targets, observers were not required to respond, but passively
viewed the display. Their results showed that response times to an odd-colored
target were speeded when distractor-colored diamonds were previewed and slowed
when target-colored diamonds were previewed, relative to when achromatic
diamonds were previewed. For example, in a trial in which the target was red and
the distractors were green, the reaction time was speeded when the diamonds in
the immediately preceding preview trial were all green (the
distractor-previewing condition) and slowed when the preview diamonds were all
red (the target-previewing condition), compared to when the preview diamonds
were all gray. This suggested that previewing produced an adaptation-like color
suppression effect such that the salience of the previewed color was reduced in
the subsequent color-based stimulus selection (Goolsby & Suzuki, 2001b; Goolsby, Grabowecky, & Suzuki, 2004).
Importantly, Goolsby et al. ( 2004) provided additional evidence that makes it
difficult to explain this effect in terms of low-level, local color adaptation.
For example, they showed that the distractor-color previewing effect did not
occur when a preview display was a large colored patch, which ought to have
produced strong color adaptation. Their additional experiments, in which the
preview items were connected with lines to form a triangle or were organized
into a face configuration with additional colored items, also eliminated the
distractor-color previewing effect. On the basis of these and other findings,
Goolsby et al. ( 2004) suggested that the
suppression of the previewed color (underlying the distractor-color previewing
effect) is not due entirely to local color adaptation, but also to high-level
color suppression that is global-pattern contingent. Specifically, Goolsby et
al. results suggested that the geometric configuration of the preview display
must be consistent with a typical search context (e.g., the presence of multiple
items outside the point of fixation).
Although Goolsby et al. suggested that the
distractor-previewing effect is due to suppression of the previewed items
induced by perceptual adaptation, current understanding of this effect is
limited to targets and distractors defined by color. It is necessary to explore
this effect with different stimuli (e.g., faces, motion, and words) to examine
the generality of this effect. The characteristics of stimuli that do and do not
produce the distractor-previewing effect will provide important clues as to the
underlying mechanism(s).
The purpose of this study is to explore the boundary
conditions for the distractor-previewing effect and, more specifically, to
determine whether the distractor-previewing effect may be obtained with face ( Experiment 2), motion ( Experiment 3A and 3B), and word stimuli ( Experiment 4A and 4B). We first replicated the basic
distractor-previewing effect (Goolsby & Suzuki, 2001b) with color ( Experiment
1). Experiment 1: Replication
Observers searched for an incongruently colored diamond
(target) among three diamonds and indicated the side (right or left) of the
chipped corner of the target. There were two previewing conditions: the
distractor-previewing and target-previewing conditions ( Figure 1A). In the distractor-previewing
condition, a search trial was preceded by a non-search trial in which all
diamonds were the same color as the distractor of a current trial. A trial in
the target-previewing condition was preceded by a non-search trial with all
diamonds the same color as the target in a current search trial. These two
conditions were mixed in an experimental block. We predicted that if the
distractor-previewing effect is obtained, visual search for an incongruently
colored target will be enhanced in the distractor-previewing condition, as
compared to the target-previewing
condition.
Figure 1. (A).
Two preview conditions of color stimuli in Experiment 1: two consecutive trials
displaying distractor-previewing and target-previewing conditions. (B). Two
preview conditions of case stimuli in Experiment 2: two consecutive trials
displaying distractor-previewing and target-previewing conditions.
Ten naive paid observers and the authors (12
participants in total) participated in Experiment 1. The observers’ ages
ranged from 20 to 32 years. All had normal or corrected-to-normal visual acuity
and normal color vision, based on
self-report.
The stimuli were displayed on a SONY GDM-19PS monitor
controlled by a PC/AT compatible computer equipped with a Cambridge Research
Systems VSG 2/5 frame store. The responses were recorded from a CB3 response box
(Cambridge Research
Systems).
The display consisted of three diamonds colored
either red (5.0 cd/m 2, CIE [.629, .346]) or green (5.0 cd/m 2, CIE [.299, .598]).
All items were presented on a black background. Three diamonds were arranged on
an imaginary ellipse of which the vertical axis was 8.2° in visual angle
and the horizontal axis was 10.1°, centered at the fixation point. Three
diamonds could be presented at any of the 12 possible locations along the
imaginary ellipse, as indicated by the small white circles in Figure 2, with the constraint that the three
diamonds were separated from each other by the same angle of the ellipse
(120°). Each diamond subtended 1.3° × 1.3° in visual angle
and was chipped out on either the right or left side by 0.22°. The location
and the chipped side of each diamond were randomly determined on every trial.
The fixation point presented at the center of the display was a white (39 cd/m 2,
CIE [.262, .282]) open circle. The observers viewed the displays from a distance
of about 60 cm in a dark room.
Figure 2. Example of a target (white
diamond) and two distractors (gray diamonds), with right or left corners chipped
out. The 12 possible diamond locations (small white circles) are shown along
with the elliptical path.
On a search trial,
the display consisted of an incongruently colored target and two distractors
(e.g., a green target and two red distractors or vice versa), while on a
non-search trial the display consisted of three uniform color distractors (e.g.,
all red or green distractors). These colors were chosen with equal probability.
Both search and non-search trials began with the
fixation point presented for a variable interval of 2000-2500 ms, followed by
search displays or non-search displays with the fixation point. On search
trials, there was an incongruently colored diamond (target) for which the
observer was required to make a shape discrimination. The observer’s task
was to report which side of the target was chipped out by pressing the
corresponding button (right or left) as fast as possible while keeping error
rates low. The stimuli remained on the screen until a response, which was
followed by the next trial. On non-search trials, all the diamonds were of a
uniform color and the observers passively viewed the stimuli. The non-search
display stayed on the screen for 604 ms as in Goolsby and Suzuki ( 2002). There were two previewing conditions: one
was the distractor-previewing condition, in which a current search trial was
preceded by a non-search trial, in which all of the diamonds were the current
distractor color. The other was the target-previewing condition, in which a
current search trial was preceded by a non-search trial, in which all of the
diamonds were colored in the current target
color.
The sequence of trials was generated for each
participant. Pairs of trials were constructed such that a search display was
preceded by either a preview or a search display. The color of the items in the
preview display and the color of the target in the search display were
orthogonally varied between red and green, yielding four combinations. Combining
these factors resulted in 8 possible pairs of trials. The order of these pairs
was randomly shuffled. To avoid the participants from expecting the order of
sequence, 8 preview (4 red and 4 green) and 8 search trials (4 red and 4 green
targets) were randomly inserted between the above pairs, yielding a set of 32
trials. This procedure was repeated 10 times to prepare 320 trials for each
participant.
Each observer was given 20 practice trials prior to the
experiment, which consisted of 320 trials (two blocks of 160 experimental
trials). Observers were allowed to have a break between the
blocks.
Reaction times for the current search trials were
averaged for each condition. Figure
3A displays the mean reaction times of
correct responses for each condition. A within-subject
t test revealed that reaction times in
the distractor-previewing condition (609 ms) were significantly less than in the
target-previewing condition (685 ms),
t(11)
= 9.32, p < .001.
Figure 3. (A). Mean reaction times for the shape
discrimination of an incongruently colored diamond in the distractor-previewing
and target-previewing conditions of Experiment 1. (B). Mean reaction times to
discriminate on which side of an incongruent-sex face the white bar appeared in
the distractor-previewing and target-previewing conditions of Experiment 2. Bars on the figures indicate
the SEM.
The error rates were quite low, less than 5% ( Table 1). Error rates in the
distractor-previewing condition were significantly lower than those in the
target-previewing condition,
t(11)
= 5.00, p <
.001.
|
|
Stimuli and Sequence
(response attribute)
|
Conditions
|
|
Distractor-previewing
|
Target-previewing
|
|
1
|
color (shape)
|
1.69
|
3.24
|
|
2
|
face (shape)
|
2.77
|
3.71
|
|
3A
|
motion (shape)
|
4.47
|
4.70
|
|
3B
|
motion (direction)
|
5.67
|
8.34
|
|
4A
|
word-->color (shape)
|
1.61
|
1.81
|
|
color-->word (shape)
|
2.60
|
3.42
|
|
4B
|
word-->face (shape)
|
2.60
|
4.14
|
|
face-->word (shape)
|
2.85
|
3.56
|
|
5
|
centre word-->color (shape)
|
2.37
|
3.03
|
The results revealed that observers reacted more
quickly to targets in the distractor-previewing condition than to those in the
target-previewing condition. There was no evidence of a speed-accuracy
trade-off, because the accuracy data presented an identical pattern. These
results were consistent with Goolsby and Suzuki ( 2001b), demonstrating the distractor-previewing
effect with color stimuli.
We concluded that the equipment and procedure used in
this experiment were valid for obtaining the distractor-previewing effect. In Experiment 2 we examined whether the
distractor-previewing effect is restricted to color stimuli by introducing a
visual search for the target face uniquely defined by its gender
(sex).
Experiment 2: The distractor-previewing effect with faces
Experiment 2
examined whether the distractor-previewing effect can be obtained with faces,
which are assumed to require achromatic shape processing rather than color
processing (Perrett, Rolls, & Caan, 1982).
We used the same procedure as in Experiment
1, except that male or female faces replaced the diamonds. If the
distractor-previewing effect can be obtained with facial stimuli, then the
reaction times to find the face in the distractor-previewing condition will be
less than reaction times in the target-previewing
condition.
Twelve naive paid observers participated. The
observers’ ages ranged from 18 to 24 years. All had normal or
corrected-to-normal visual acuity. None were familiar with the persons whose
faces were used as
stimuli.
The apparatus and stimuli were the identical to those
used in Experiment 1, except that the
display consisted of three achromatic faces. The facial images were created from
digitized photographs of female and male faces using Photoshop 6.0 (Adobe
Systems); the faces were equated in size (2.4° (V) × 1.8° (H))
and mean luminance (74.0 cd/m 2). When two or more same-sex faces were
presented in a trial, those faces were all the same persons; a non-search trial
contained only one person and a search trial contained two persons. A white
horizontal “hair,” subtending 0.1° × 0.4°, was
superimposed either on the right or left side of each face ( Figure
1B).
The procedure was the same as in Experiment 1, except that the observers
searched for an incongruent-sex face and indicated the side of the face with the
“hair.” Because faces of different individuals were used in the
preview and search trials, it was likely that any preview effect obtained would
primarily be due to processing the gender of the faces, rather than to the
processing of spurious features specific to individual
faces. All observers passively viewed the
non-search display for 1005 ms. The preview duration was chosen such that it was
appropriately equal to the mean response time for the search trials. (The same
procedure was applied to Experiments 3A
and 3B.)
Figure 3B displays
the mean reaction times of correct responses as a function of conditions. The
reaction times in the distractor-previewing condition (1176 ms) were
significantly less than those in the target-previewing condition (1251 ms),
t(11)
= 4.37, p < .005. Error rates
were less than 5% ( Table 1). There was no
significant difference in error rates between the experimental conditions,
t(11)
= 0.99,
ns.
The pattern of results was similar to that of Experiment 1; the reaction time in the
distractor-previewing condition was less than that for the target-previewing
condition. This result clearly indicates that the distractor-previewing effect
occurred when the stimuli were human faces. The effect was present even when the
identities of faces were changed between the preview and search displays,
suggesting that higher levels of stimulus representation, such as gender, can
also produce this effect. However, this effect might be due to a few perceptual
distinctions between males and females, such as eyebrow thickness, roundness of
jaw, height of cheek bone, fullness of lips, etc. We investigated whether the
distractor-previewing effect could be obtained solely through semantic
activation in Experiment 4A and 4B. Experiment 3A: The distractor-previewing effect with motion stimuli
Another interesting question is whether this effect can
be obtained with stimuli defined by dynamic features. That is, in this
experiment, the features that observers used to find the target was motion
direction and the features that they used to respond to the target was the
diamond shape. The purpose of Experiment 3A was to
examine whether the distractor-previewing effect can be obtained with stimuli
defined by coherent motion. The procedure was the same as in Experiment 1, except that the diamonds were
defined by dots that moved coherently across
frames.
Ten naive paid observers and the authors (12 observers
in total) participated in Experiment 3A.
The observers’ ages ranged from 20 to 32 years. All had normal or
corrected-to-normal visual
acuity.
The apparatus and stimuli were identical to those used
in Experiment 1, except for the following
changes. The display consisted of random white dots, each of which was 1 pixel
in size, and a red closed circle presented in the center of the display (the
fixation point). The random dots occupied 31.3% of the display area (17.5°
(V), 19.0° (H)). The three diamonds arranged as in Experiment 1 were defined by dots moving
coherently either up or down by 4 pixels/50 ms against a static background of
random dots. Each diamond subtended 2.6° × 2.6° in visual angle
and was chipped out on either the right or left side by
0.44°.
The procedure was the same as in Experiment 1, except that the observers
pressed a button to indicate which side of the diamond (whose internal dots
moved towards an incongruent direction) was chipped out. All observers passively
viewed the non-search display for 1146 ms, except the authors, who viewed the
display for 1005 ms. The duration of the non-search trial was calculated as in
Experiment
2.
Figure 4A presents
the mean reaction times of correct responses as a function of experimental
conditions. The reaction times in the distractor-previewing condition (1503 ms)
were significantly less than those in the target-previewing condition (1570 ms),
t(11)
= 2.61, p < .05. The error
rates were less than 5% ( Table 1). There was
no significant difference in error rates between the experimental conditions,
t(11)
= 0.21,
ns.
Figure 4. (A). Mean reaction times for the shape
discrimination of the diamond defined by dots moving coherently toward an
incongruent direction in the distractor-previewing and target-previewing
conditions of Experiment 3A. (B). Mean reaction times
to determine the direction toward which the incongruent-speed dots move in the
distractor-previewing and target-previewing conditions of Experiment 3B. Bars on the figures indicate the
SEM.
Reaction times in the distractor-previewing condition
were less than in the target-previewing condition, indicating that the
distractor-previewing effect occurs within motion-based search. All of our
experiments so far used shape as the response attribute. To determine whether
the distractor-previewing effect depended on the use of shape as the response
attribute, we used motion direction as the response attribute in the next
experiment.
This experiment examined whether the
distractor-previewing effect occurs when the response-defining attribute is not
shape but motion direction. That is, in this experiment, the features that
observers used to find the target was motion speed and the features that they
used to respond to the target was motion direction. The display was the same as
in Experiment 3A, except that the
stimuli were circles defined by the moving dots rather than
diamonds.
Thirteen naive paid observers and the authors (15
participants) participated in Experiment
3B. The observers’ ages ranged from 19 to 32 years. All had normal or
corrected-to-normal visual
acuity.
The apparatus and stimuli were identical to those used
in Experiment 3A, except that the
display consisted of three circles, each 1.3° in diameter, defined by dots
moving coherently toward either the right or the left by 2 or 4 pixels/50
ms.
The procedure was the same as in Experiment 3A, except that the target was a
circle containing internal dots moving at an incongruent speed (a
“fast” circle among “slow” circles or vice versa). The
task of the observers was to indicate the direction of coherent motion (right or
left) in the target circle. All observers passively viewed the non-search
display for 959 ms, except for the authors, who viewed it for 1146 ms. The
duration of the non-search trial was calculated as in Experiment
2.
Figure 4B presents
the mean reaction times of correct responses as a function of conditions. The
reaction times in the distractor-previewing condition (1330 ms) were
significantly less than those in the target-previewing condition (1419 ms),
t(14)
= 2.24, p < .05. Error rates
were less than 10% ( Table 1). There was no
significant difference in error rates between the experimental conditions,
t(14)
= 1.70,
ns.
Even when the response-defining attribute of the
stimuli is motion direction, the distractor-previewing effect may be found. The
results suggest that the distractor-previewing effect is not restricted to a
phenomenon that occurs with static stimuli but occurs with dynamic stimuli. This
implies that not only the ventral but also the dorsal stream of the visual
pathway may be involved in this phenomenon (e.g., Mishkin, Underleider, &
Macko, 1983; but see also Sereno &
Maunsell, 1998).
Our results confirmed and extended the robustness of
the distractor-previewing effect, which can occur with both static and dynamic
stimuli. The results of Experiment 2
imply, in particular, that a higher cognitive component, such as semantic
activation, might also elicit this effect. The effect obtained in Experiment 2, however, might be attributed
to perceptual components, because the stimuli used in that experiment were
facial images with sex-specific perceptual features. We used word stimuli in our
next experiment to investigate whether abstract semantic activation alone can
elicit the distractor-previewing
effect. Experiment 4A: The distractor-previewing effect with meaning
We examined whether the distractor-previewing effect
occurs with words, which produce a more abstract semantic activation than that
elicited by images of faces. In addition to the display of colored diamonds, as
in Experiment 1, we included displays of
outlined diamonds, each of which contained a color-name word (i.e.,
“green” or “red”). If the reaction times in color search
trials are speeded by previewing words labeling the distractor color (compared
to previewing words labeling the target color), such a result will suggest that
activation of color through abstract semantic activation can produce the
distractor-color previewing effect.
Ten naive paid observers and the authors, 12 observers
in all, participated in Experiment 4A.
The observers’ ages ranged from 19 to 32 years. All had normal or
corrected-to-normal visual acuity and normal color vision, based on
self-report.
The apparatus and stimuli were identical to those used
in Experiment 1, except for the following
changes. Three outlined diamonds, each of which contained a Japanese color-name
word meaning “green” or “red,” were inserted into the
sequence of the stimulus displays of color diamonds, as they appeared in Experiment 1. Each outlined diamond was
formed by a white, 2-pixel thick line, and its word was also white. Both the
color diamond and outlined diamond were subtended 2.6° × 2.6° in
visual angle and were chipped out on either the right or left side by
0.44°. The internal word representing “red” or
“green” in Japanese hiragana subtended 0.5° ×
1.0°.
The procedure was the same as in Experiment 1, except that the target was an
incongruent diamond defined either by color or by the word that constituted the
color’s name. The colored diamond and the diamond with the color-name word
never appeared together in the same trial. The observers indicated which side of
the target diamond was chipped. There were two types of display sequence. One
was the word ––>color
sequence, in which a current color search trial was preceded by a word
non-search trial. The other was the
color ––>word sequence,
in which a current word search trial was preceded by a color non-search trial.
Both sequences were randomly presented, and there were five blocks of 128
experimental trials, or a total of 640 trials, which was double that of Experiment 1. The non-search display
remained on the screen for 1000 ms. This duration of the non-search trial was
determined from the time that it took observers to appropriately read the
words.
Figure 5A displays
the mean reaction times of correct responses as a function of conditions in the
word ––>color sequence.
The reaction times in the distractor-previewing condition (613 ms) were
significantly less than those in the target-previewing condition (643 ms),
t(11)
= 4.41, p < .005. Error rates
were less than 5% ( Table 1). There was no
significant difference in error rates between the experimental conditions,
t(11)
= 0.31, ns.
Figure 5. Mean
reaction times for the shape discrimination of a target defined by the
incongruent-color (A) or incongruent color word (B) in the distractor-previewing
and target-previewing conditions of Experiment 4A.
Bars on the figures indicate the
SEM.
Figure 5B also
displays the mean reaction times of correct responses as a function of
conditions in the
color ––>word sequence.
Although the reaction times in the distractor-previewing condition (1122 ms)
were less than those in the target-previewing condition (1135 ms), there was no
significant difference between the conditions,
t(11)
= 0.89, ns. Error rates were less than 5 % ( Table 1). There was no significant difference in
error rates between the experimental conditions,
t(11)
= 1.07, ns.
The pattern of the results was asymmetric across
conditions. Only in the
word––>color sequence
were reaction times in the distractor-previewing condition less than in the
target-previewing condition, suggesting that the distractor-previewing effect
can be obtained through distractor-color activation induced by previewing words
labeling the distractor color. Reaction times were not different among
experimental conditions in the
color––>word sequence
condition. In our next experiment, we investigated the generality of abstract
semantic activation by replicating the distractor-previewing effect with images
of human faces and identifying word labels.
This experiment replicated Experiment 4A by using images of faces and
the words identifying their sex (i.e., “male” or
“female”). Experiment 2
demonstrated that the distractor-previewing effect is found when using images of
faces that require sex identification; thus, if abstract semantic activation of
sexual identity takes place when previewing a word, then we should find the
distractor-previewing
effect.
Twelve naive paid observers participated. The
observers’ ages ranged from 19 to 32 years. All had normal or
corrected-to-normal visual acuity. None of them were familiar with the persons
whose faces were used as
stimuli.
The apparatus and stimuli were identical to those used
in Experiment 4A, except for the
following changes. The face images replaced the color diamonds, and the outlined
ellipses containing words representing sex (i.e., “male” or
“female”) replaced the outlined diamonds. The outlined ellipse was
created by a white, 2-pixel thick line, and its internal word was also white.
Both the facial image and outlined ellipse were of the same size as the facial
image in Experiment 2, and a white
“hair” was superimposed on either the right side or the left side of
the face. The internal words for “male” or “female”
subtended 0.5° × 1.5°, and they were written in
Japanese.
The procedure was the same as in Experiment 4A, except that the target was
an incongruent face defined either by the sex of the actual facial image or by
words in an ellipse identifying its sex. The face and word images never appeared
together in the same trial. The observers were to indicate the location (right
or left side of the face) of the target “hair.” There were two types
of display sequence. One was the
word ––>face sequence, in
which a current face search trial was preceded by a word non-search trial. The
other was the
face ––>word sequence, in
which a current word search trial was preceded by a face non-search trial. The
non-search display remained on the screen for 1000 ms, as in Experiment
4A.
Figure 6A presents
the mean reaction times of correct responses as a function of conditions in the
word ––>face sequence.
The reaction times in the distractor-previewing condition (1235 ms) were
significantly less than those in the target-previewing condition (1275 ms),
t(11)
= 2.32, p < .05. Error rates
were less than 5% ( Table 1). There was no
significant difference in error rates between the experimental conditions,
t(11)
= 1.22, ns.
Figure 6. Mean reaction times to discriminate a
target defined by a white bar on the side of an incongruent-sex face (A) or
incongruent-sex word (B) in the distractor-previewing and target-previewing
condition of Experiment 4B. Bars on the
figures indicate the SEM.
Figure 6B also
presents the mean reaction times of correct responses as a function of
conditions in the
face ––>word sequence.
Although the reaction times in the distractor-previewing condition (1436 ms)
were less than those in the target-previewing condition (1462 ms), the
difference was not significant,
t(11)
= 1.61, ns. Error rates were less than 5% ( Table 1). There was no significant difference in
error rates between the experimental conditions,
t(11)
= 0.48, ns.
The asymmetric pattern of the results was similar to
that of Experiment 4A; in the
word ––>face sequence,
the distractor previewing effect occurred as expected, while in the
face ––>word sequence,
the trend was not statistically significant. This experiment replicated Experiment 4A, and the results support our
hypothesis that abstract semantic activation produces the distractor-previewing
effect with these stimuli.
It seems clear that the distractor-previewing effect is
not limited to color stimuli and can be obtained when the target/distractor is a
face, stimulus motion (motion direction and speed), or words. These parallel
results, observed across a variety of stimulus attributes, imply that the
distractor-previewing effect observed in this study exhibits characteristics
similar to those found by Goolsby and Suzuki ( 2001b). Goolsby et al. ( 2004) found that when the preview display did not
look like the search display, the distractor-previewing effect was eliminated,
suggesting that task-relevant adaptation is necessary to obtain the
distractor-previewing effect with color. Thus, if we alter the stimuli so as not
to provide task-relevant adaptation, as in Goolsby et al. ( 2004), the effect should not occur. In the present
experiment, we tested this by presenting observers with one word, either
“green” or “red,” presented in the center of the screen
as a preview display. The observers' task was, again, to search for an
incongruently colored diamond among the distractors presented on the periphery
of the screen, and to report which side was missing a corner.
Thirteen naive paid observers and one of the authors
(AA) (a total of 14 observers) participated. The observers’ ages ranged
from 19 to 25 years. All had normal or corrected-to-normal visual acuity and
normal color vision, based on self-report.
The apparatus, stimuli, and procedure were identical to
those used in Experiment 1, except for
the following changes. In the non-search trial, only one Japanese color-name
word (without the diamond shape) was presented in the center of the screen. The
observers' task was to indicate the missing corner of an incongruently colored
diamond in the search trial, after previewing a color-name word in a non-search
trial. The non-search display remained on the screen for 1000 ms, as in Experiment
4A.
Figure 7 presents
the mean reaction times of correct responses as a function of conditions. There
was no significant difference in reaction times between the
distractor-previewing (572 ms) and target-previewing conditions (566 ms),
t(13)
= 1.11, ns. Error rates were
less than 5% ( Table 1). There were no
significant differences in error rates between the experimental conditions,
t(13)
= 0.84, ns.
Figure 7. Mean reaction times for the shape
discrimination of an incongruent-color diamond, after previewing one color-word
presented in the center, for both the distractor-previewing and
target-previewing conditions of Experiment
5. Bars on the figures indicate the
SEM.
In this experiment, we demonstrated conditions under
which the distractor-previewing effect was eliminated. The effect produced by
previewing a word that emerged in Experiment
4A did not occur when a single color-name was presented in the center of the
display. This suggests that the distractor-previewing effect with words occurs
only when semantic activation is accompanied by task relevancy. The importance
of task relevancy has also been demonstrated by Goolsby et al. ( 2004). Their overall results suggested that the
distractor-color previewing effect on color-based visual search occurred only
when a preview trial displayed colored items in a search relevant context (e.g.,
the presence of multiple items away from the point of fixation). Thus, the
distractor-color previewing effect was eliminated when only a single item was
presented at the fixation point, and when the colored items were strongly
grouped into a single unit centered at the fixation point. The former result
parallels our result in this experiment, suggesting that the distractor-color
previewing effect we demonstrated here using color names share a common
mechanism with the effects reported in a series of studies by Goolsby and
colleagues colored
images.
We used different types of stimuli to determine the
characteristics of stimuli that do and do not produce the distractor-previewing
effect (Goolsby & Suzuki, 2001b). In Experiment 1, we observed the
distractor-previewing effect with color stimuli and replicated Goolsby and
Suzuki ( 2001b). Experiment 2 showed that the
distractor-previewing effect is not limited to color and can be obtained with
achromatic complex stimuli such as faces. The results of Experiment 2 also indicate that this effect
might be due to semantic activation rather than, exclusively, to image-based
adaptation, as the results cannot be explained on the basis of processing
features that are specific to individual faces.
Experiment 3 extended
conditions for obtaining the distractor-previewing effect; the effect was
observed with motion stimuli, regardless of whether the response-defining
attribute was stimulus shape or motion direction. The distractor-previewing
effect is thus a robust phenomenon observed with color, face, motion, and word
stimuli, and is independent of the visual processing pathways.
Experiment 4
tested the potential involvement of semantic activation in the
distractor-previewing effect. Results indicated that abstract semantic
activation could elicit the effect by previewing words. We conclude that higher
cognitive component, such as abstract semantic activation, and not only
perceptual adaptation, can facilitate visual search when that search is preceded
by a preview display consisting of items containing distractor names. In Experiment 4A, the distractor-previewing
effect was obtained only in the
word ––>color sequence.
This asymmetric pattern is similar to the Stroop effect (Stroop, 1935), where word identification affects color
identification, but not vice versa. It is assumed that this reflects the
automatic activation of meaning elicited by word stimuli. Although image color
does not induce lexical activation, color name automatically induces spreading
semantic activation of color (MacLeod, 1991; Posner & Snyder, 1975). Thus, in the
word ––>color display
sequence, strong semantic activation was induced (and affected color search in
our study), while in the
color ––>word sequence,
color probably failed to produce lexical (or orthographic) activation, and did
not affect word search. This could also explain the results of Experiment 4B, in which face stimuli were
used, indicating that strong semantic activation is required for certain tasks.
These results imply that a higher level process(es)
might be a source of the distractor-previewing effect, as Goolsby et al. ( 2004) suggested. The effect in our studies was
obtained only when the preview items was in a search relevant context,
indicating that the global-form-contingent color preview effect is not due
solely to bottom-up, stimulus-based adaptation. We conclude that some
expressions of the distractor-previewing effect are not image-based phenomena,
as demonstrated in Experiments 2, 4A, and 4B, in which semantic activation of color
or gender was sufficient to elicit the effect.
In Experiment 5,
we examined whether the distractor-previewing effect with semantic activation,
and the previewing effect obtained with color, share similar underlying
mechanisms. To date, task-relevant adaptation has been necessary to obtain the
effect with color (Goolsby et al., 2004), and
the present results indicate that this is the case with words as well. We
suggest that the distractor-previewing effect with perceptual adaptation, and
the effect with semantic activation, might share a common underlying
mechanism(s); it is important for future studies to determine these contributing
processes.
An alternative explanation of the distractor-previewing
effect is that it might be due to response inhibition. For example, imagine a
search trial with a red target and two green distractors. In the
distractor-previewing condition, the response required for the discriminating
feature of the current target (e.g., red color) is not inhibited in the search
trial because the preceding distractor-preview trial contains only green items.
On the other hand, in the target-previewing condition, the response to the red
target might be inhibited in the search trials, and result in slower reaction
times, because the preceding target preview trial contained red items. Contrary
to this prediction, Goolsby et al. ( 2004) found
that a distractor-color preview speeded search (while a target-color preview
slowed search) relative to an achromatic preview. Furthermore, Goolsby et al.
( 2004) found that the distractor-previewing
effect was not eliminated, even when observers responded to the preview display,
suggesting that the distractor-previewing effect cannot be explained in terms of
stimulus-response
pairings.
The notion that a higher level of processing, such as
semantic activation, may contribute to the distractor-previewing effect under
certain conditions leads us to consider two phenomena that are similar to the
distractor-previewing effect. In this section, we will consider whether each of
those two phenomena shares a common mechanism with the distractor-previewing
effect. First, demonstrating the familiarity effect in a visual search task
(Wang, Cavanagh, & Green, 1994), observers
were able to search faster and more efficiently for an unfamiliar target among
familiar distractors than for a familiar target among unfamiliar distractors.
So, in the distractor-previewing condition, the familiarity of current
distractors increases temporarily, due to the perceptual adaptation or semantic
activation created by viewing the distractors on the preceding trial. In the
same way, current-target familiarity increases by viewing it as a stimulus in
the target-previewing trial. In short, in the distractor-previewing condition,
observers view “familiar” distractors (familiarised in a preceding
trial) in search trials, while in the target-previewing condition, they view a
“familiar” target. Wang et al. ( 1994) argued that this pattern of results is
consistent with Treisman’s ( 1985)
explanation of an asymmetrical familiarity effect, such that familiar items are
coded as standards and unfamiliar items are coded as deviations from standards.
Because standards elicit less activity, as compared to deviations, as Treisman
( 1985) has suggested, the visual search
for a deviation from standard distractors is facilitated. Therefore, the
reaction time in the distractor-previewing condition (i.e., unfamiliar target
among familiar distractors) will be less than that in the target-previewing
condition, which is the distractor-previewing effect.
We should, however, be cautious in defining
familiarity. Although Wang et al. ( 1994)
defined familiarity in terms of the observer’s extant knowledge, the
stimuli in our experiments (i.e., red and green diamonds) were likely equally
familiar to the observers, and so the familiarity explanation holds only if the
familiarity of the colored diamonds is assumed to increase or decrease on a
trial-by-trial basis. We can distinguish the familiarity effect from the
distractor-previewing effect, in that the former is due to a long-term
adaptation process, while the latter is due to short-term adaptation. Future
experiments should investigate whether the long-term familiarity effect shares a
mechanism(s) in common with the short-term distractor-previewing effect.
Negative priming, defined as slow responses to stimuli
that have previously been ignored (Tipper, 1985), might also be related to the
distractor-previewing effect. Milliken, Joordens, Merikle, and Seiffert ( 1998) presented a probe display that consisted of
two differently colored (green and red) superimposed words, preceded by a
preview that contained one of the words in the probe display (all presented in
the center of the screen). The observer’s task was to view the preview
displays passively and to name aloud the red word in the probe displays. The
preview words were either the target word in the probe displays (the target
repeated condition) or the distractor word (the distractor repeated condition).
Their results showed faster responses to the target in the distractor repeated
condition than in the target repeated condition.
It is premature, though, to regard the distractor-previewing effect reported by Goolsby and his colleagues, and in the present study, as same phenomenon as the distractor repetition effect reported by Milliken et al. It is important to note that Milliken et al. ( 1998) showed that selection of a probe among
other items was critical to obtain the effect of distractor repetition. When
their probe display contained a single target without any distractors, there was
no repetition effect. This is consistent with other negative priming studies,
which show the effect of distractor-repetition occurs only when selection of a
probe was involved (Lowe, 1979; Moore, 1994; Tipper & Cranston, 1985). We have shown that, unlike for the
distractor repetition effect, there is no need for selection during the probe
display to obtain the distractor-previewing effect (i.e., the
distractor-previewing effect occurs even when the probe display contained only
one item to be responded to) (Ariga, Lleras, & Kawahara, 2004). Therefore, we can draw a line between the
distractor-repetition effect and the distractor-previewing effect.
Analysis of the priming of pop-out
The non-search trials and search trials were randomly
intermixed throughout Experiments 1- 3 in the present study. Some search trials were
immediately preceded by a search trial, either under the condition that a
specific target-distractor combination was repeated (repeated condition) or that
a target-distractor combination was reversed (reversed condition). According to
Maljkovic and Nakayama ( 1994), observers can
detect the odd-ball target in a current trial more rapidly in the repeated
condition than in the reversed condition, an effect that was labeled the priming
of pop-out. Because this priming effect has been observed with stimuli defined
by color and by spatial frequency (Maljkovic & Nakayama, 1994), we thought that it would be an interesting
development if the effect was found with the variety of target-defining features
used in Experiment 1 (color), 2 (faces), 3A (motion direction), and 3B (motion speed). We conducted analyses to
determine whether stimuli that elicit the distractor-previewing effect also
produced a Maljkovic-Nakayama-type priming effect.
The results revealed that the Maljkovic-Nakayama-type
priming effect was observed with color (635 ms)
(SE
= 24.41) for the repeated condition versus 682 ms
(SE
= 23.37) for the reversed condition,
t(11)
= 6.57, p < .001, and motion speed (1430 ms) (SE
= 81.58) for the repeated condition versus 1516 ms
(SE
= 83.07) for the reversed condition,
t(14)
= 4.53, p < .001. However, there was no significant effect of the expected priming effect with face (1243 ms) (SE
= 57.59) for the repeated condition versus 1274 ms
(SE
= 56.18) for the reversed condition,
t(11)
= 1.85, ns, and motion direction
(1536 ms)
(SE
= 76.46) for the repeated condition versus 1571 ms
(SE
= 70.43) for the reversed condition,
t(11)
= 1.19, ns. In short, both the
distractor-previewing effect and the priming of pop-out occurred with color and
motion speed stimuli, whereas face and motion direction stimuli elicited only
the distractor-previewing effect. These results indicated that obtaining the
Maljkovic-Nakayama-type priming effect was not necessary to obtain the
distractor-previewing effect.
The final issue that needs to be discussed is the
relationship between the distractor-previewing effect and the priming effect due
to distractors that Maljkovic and Nakayama ( 1994) reported. They showed a cumulative effect of
repeating trials which contained consistent color of the distractors across
trials. The reaction times to the odd-color target in the current search trial
became shorter as the trials that consisted of the same color of distractors
were repeated. To determine the boundary condition of the distractor-previewing
effect, we need to compare it with the distractor-priming effect. Therefore, we
examined whether the amount of the distractor-previewing effect would increase
as the same preview trials cumulated. Although we believe that this subsidiary
analysis would provide important information about the difference/similarity
between the distractor-priming effect and the distractor-previewing effect,
there are a few things to keep in mind. First, most of the repetitive preview
trials retrieved from our data were at most two-successive preview trials in
which the same distractor colors were repeated, whereas the experiment in
Maljkovic and Nakayama had six preceding trials. This difference was because our
procedure was designed to maximize the number of trials for the
distractor-preview and the target-preview conditions. Second, the number of
samples of two successive trials was very few (at most about 10 trials per
unpracticed observer) in our experiment. On the contrary, the reaction times
were averaged from several hundreds of trials per practiced observer in
Maljkovic and Nakayama's study.
The cumulative distractor-previewing effect was
obtained only in Experiment 1. The amount
of distractor-priming effect in two-successive preview trials was larger (138
ms, 591 ms for the distractor-previewing condition, and 729 ms for the
target-previewing condition) than those in one preview trial (70 ms, 611 ms, and
681 ms),
t(11)
= 2.95, p < .05 ( Figure 8).
Figure 8. Mean reaction times in Experiment 1 for distractor- and
target-previewing conditions, plotted as a function of the number of repetition
of preview trials (1 preview trial vs. 2 preview trials). Bars on the figures
indicate the SEM.
Importantly, the increase in the distractor-priming
effect was mainly due to the delayed response in the target-previewing
condition,
t(11)
= 2.89, p < .01, rather than
the faster response in the distractor-previewing condition,
t(11)
= 1.15, ns. The same analysis
conducted for other experiments did not reveal significant cumulative
distractor-priming effect; 115 ms for two-successive preview trials (1172 ms)
( SE
= 59.60) for the distractor-previewing condition and 1287 ms
( SE
= 70.73) for the target-previewing condition versus 72 ms for one preview
trial (1177 ms)
( SE
= 50.36) and 1249 ms
( SE
= 44.02),
t(11)
= 0.98, ns ( Experiment 2); 44 ms (1487 ms)
( SE
= 78.64), and 1531 ms
( SE
= 61.84) versus 49 ms (1538 ms)
( SE
= 84.12) and 1587 ms
( SE
= 75.77),
t(11)
= 0.06, ns ( Experiment 3A); -30 ms (1271 ms)
( SE = 113.43) and 1241 ms
( SE
= 75.33) versus 89 ms (1326 ms)
( SE
= 85.52) and 1415 ms
( SE
= 75.43), t(14) = 0.63,
ns ( Experiment
3B); 34 ms (612 ms)
( SE
= 35.11) and 646 ms
( SE
= 32.41) versus 29 ms (612 ms)
( SE
= 21.45) and 641 ms ( SE =
25.61),
t(11)
= 0.09, ns ( Experiment 4A); 54 ms (1217 ms)
( SE
= 59.05) and 1271 ms
( SE
= 55.51) versus 40 ms (1236 ms)
( SE = 45.50) and 1276 ms
( SE
= 49.42),
t(11)
= 0.36, ns ( Experiment 4B). Thus, we suggest that the
distractor-previewing effect observed in this study was a different phenomenon
from the distractor-priming effect reported by Maljkovic and
Nakayama.
The purpose of this study was to explore the boundary
conditions for the distractor-previewing effect. The study showed that the
distractor-previewing effect is not limited to color stimuli, but is a robust
phenomenon that can also be observed with other stimuli— faces, motion,
and words. The most interesting aspect of the results is that the effect
occurred with the abstract semantic activation elicited by using word stimuli.
We also found that the previewing effect with semantic activation demonstrated a
property similar to that exhibited in the effect with color, in terms of the
task relevancy. The question of whether the distractor-previewing effect
obtained with the stimuli that we used and that obtained with color stimuli
shares common mechanisms awaits further
investigation.
Commercial relationships: none.
Corresponding author: Jun Kawahara.
Email: jkawa@hiroshima-u.ac.jp.
Address: 1-1-1 Kagamiyama, Department of
Psychology, Hiroshima University, Higashi-Hiroshima, Japan,
739-8524.
Ariga, A.,
Lleras, A., & Kawahara, J. (2004, May).
Task relevance and response suppression in the
distractor previewing effect. Poster presented at the meeting of the Vision Sciences Society (VSS), Sarasota, FL.
Bravo, M. J.,
& Nakayama, K. (1992). The role of attention in different visual-search
tasks. Perception and Psychophysics,
51, 465-472. [ PubMed]
Goolsby, B.
A., Grabowecky, M., & Suzuki, S. (2004). Adaptation of color salience
contingent upon global form coding and task relevance. Manuscript submitted for
publication.
Goolsby,
B. A., & Suzuki, S. (2001a). Understanding priming of color-singleton
search: Roles of attention at encoding and ‘retrieval’.
Perception and Psychophysics,
63, 929-944. [ PubMed]
Goolsby, B. A., & Suzuki, S.
(2001b, November). Color priming and
adaptation in color-singleton search. Presentation delivered at the
meeting of the Object Perception Attention and Memory (OPAM), Orlando, FL.
Goolsby, B. A., & Suzuki, S.
(2002). The distracter-color adaptation effect in color-singleton search: What
color representation is being adapted? [ Abstract] Journal
of Vision, 2(7), 537a,
http://www.journalofvision.org/2/7/537/, doi:10.1167/2.7.537.
Humphreys, G. W., Quinlan, P. T.,
& Riddoch, M. J. (1989). Grouping processes in visual search: Effects with
single- and combined-feature targets. Journal
of Experimental Psychology: General,
118, 258-279. [ PubMed]
Lowe, D. G. (1979). Strategies,
context and the mechanisms of response inhibition.
Memory and Cognition,
7, 382-389.
MacLeod, C. M. (1991). Half a
century of research on the Stroop effect: An Integrative Review.
Psychological Bulletin,
109, 163-203. [ PubMed]
Maljkovic, V., & Nakayama, K.
(1994). Priming of pop-out: I. Role of features.
Memory and Cognition,
22, 657-672. [ PubMed]
Milliken, B., Joordens, S.,
Merikle, P. M., & Seiffert, A. E. (1998). Selective attention: A
re-evaluation of the implications of negative priming.
Psychological Review,
105, 203-229. [ PubMed]
Mishkin, M., Ungerleider, L. G.,
& Macko, K. A. (1983). Object vision and spatial vision: Two cortical
pathways. Trends in Neurosciences,
6, 414-417.
Moore, C. M. (1994). Negative
priming depends on probe-trial conflict: Where has all the inhibition gone?
Perception and Psychophysics,
56, 133-147. [ PubMed]
Perrett, D. I., Rolls, E. T.,
& Caan, W. (1982). Visual neurons responsive to face in the monkey temporal
cortex. Experimental Brain Research,
47, 329-342. [ PubMed]
Posner, M. I., & Snyder, C. R.
R. (1975). Attention and cognitive control. In R. L. Solso (Ed.),
Information processing and cognition: The
Loyola symposium (pp. 55-85). Hillsdale, NJ: Erlbaum.
Sereno, A. B., & Maunsell, J.
H. R. (1998). Shape selectivity in primate lateral intraparietal cortex.
Nature,
395, 500-503. [ PubMed]
Stroop, J. R. (1935). Studies
of inference in serial verbal reactions.
Journal of Experimental Psychology,
18, 643-662.
Tipper, S. P. (1985). The
negative priming effect: Inhibitory effects of ignored primes.
Quarterly Journal of Experimental
Psychology, 37A, 571-590. [ PubMed]
Tipper, S. P., & Cranston, M.
(1985). Selective attention and priming: Inhibitory and facilitatory effects of
ignored primes. Quarterly Journal of
Experimental Psychology, 37A,
591-611. [ PubMed]
Treisman, A. (1985).
Preattentive processing in vision. Computer Vision, Graphics, and Image Processing,
31, 156-177.
Treisman, A., & Gelade, G.
(1980). A feature-integration theory of attention.
Cognitive
Psychology,
12, 97-136. [ PubMed]
Wang, Q., Cavanagh, P., &
Green, M. (1994). Familiarity and pop-out in visual search.
Perception and Psychophysics,
56, 495-500. [ PubMed]
|