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DOI: 10.2501/JAR-2016-020 September 2016 JOURNAL OF ADVERTISING RESEARCH 259
INTRODUCTION
In attracting consumer attention to an ad, the out-
of-home advertising industry has long recognized a
billboard’s location and visual saliency as critically
important (Ephron and Philport, 2005; OAAA, 1983,
2000). Whereas location refers to the placement of
a billboard for optimal viewing, such as side of the
road, distance from the road, and so on, visual sali-
ency refers to the ability of an advertisement to be
noticed based on its visual properties, independent
of the structure on which it resides. In the complex
visual environments where roadside advertising is
typically found, advertisements more likely will be
noticed, for reasons pertaining to visual saliency, if
an advertisement space includes contrasting colors
like red and green, dark and light areas independent
of color contrasts, and unique orientations of adver-
tisement components, such as features organized
along a real or imaginary axis.
The out-of-home advertising industry values
its billboards largely through the calculation of
audiences seeing the advertisements. The Traffic
Audit Bureau for Media Measurement, Inc. (TAB)
is the U.S. industry body responsible for assigning
media impressions and ratings to each TAB mem-
ber advertisement location. These measures are
The Role of Location and Visual Saliency in
Capturing Attention to Outdoor Advertising
How Location Attributes Increase the Likelihood
For a Driver to Notice a Billboard Ad
RICK T. WILSON
Texas State University
rick.t.wilson@txstate.edu
JEFF CASPER
Trafc Audit Bureau for
Media Measurement,
Inc.
jcasper@tabonline.com
The current authors’ research addressed the importance of a billboard’s location and visual
saliency in capturing consumer attention. Visual saliency refers to an advertisement’s ability
to stand out and attract attention because of its use of color, shading, and compositional
design. Building on data from an existing eye-tracking study from the Trafc Audit Bureau
for Media Measurement, Inc. (TAB, renamed Geopath in September 2016), the authors
found that visual salience has some, but limited, inuence on drivers’ attention to billboard
advertising. Rather, a billboard’s location contributed more to the understanding of the
distribution of attention in complex environments like roadside advertising. These billboard
attributes explained two-thirds of the observed variance in the author’s models.
•
Applying visibility adjustments to billboard circulation brings into play each billboard’s location
attributes, creating the opportunity to more accurately measure real audience exposure.
•
The physical attributes of out-of-home structures and their relative position to the driver signicantly
impact the likelihood that an advertisement on the unit will be noticed.
•
Dwell time also has a signicant impact on noticing advertising.
•
Visual saliency shows that great creative content can have a signicant impact if care is taken to
place the advertisement properly.
•
The biggest advantage comes from great location coupled with great creative content.
260 JOURNAL OF ADVERTISING RESEARCH September 2016
THE ROLE OF LOCATION AND VISUAL SALIENCY IN CAPTURING ATTENTION TO OUTDOOR ADVERTISING
based solely on the location of each piece
of advertisement inventory. TAB makes
no adjustment to allow for the impact
of strong creative content or the visual
saliency of a billboard. This is primarily
because of difficulties in quantifying vis-
ual saliency and the expense of tracking
each advertisement execution. The current
research offered a method to objectively
quantify visual saliency’s measure and
evaluate its importance in comparison to
and in conjunction with billboard location
attributes. By conducting two research
studies, the authors found that a bill-
board’s location, indeed, drives attention
to advertising. Moreover, strong creative
content, as defined through the research-
ers’ visual salience measure, is most effec-
tive when the advertisement is properly
located within the driving environment.
According to the Advertising Research
Foundation, attention to or noticing of
advertising is the first stage at which con-
sumers react to the message found within
an advertisement (Ephron et al., 2003).
TAB’s research used eye-tracking stud-
ies to determine whether consumers had
focused on the advertising message. But
eye-tracking studies have a limited scope:
Although they can determine what an
individual looked at, they cannot deter-
mine why the advertisement captured
attention. Was a billboard noticed because
of its location attributes or because of its
visual saliency? In many ways, the effects
of an out-of-home message are signifi-
cantly confounded with the effects of the
medium (Ephron et al., 2003).
Incorporating visual saliency as a meas-
ure of an advertisement’s creative execution
into out-of-home attention research and
teasing out its effects can help answer why
certain advertisements are noticed. A grow-
ing number of researchers have made this
issue a priority within the industry (Taylor,
2012; Wilson and Till, 2012). In attempting
to answer these questions, the authors first
assessed the impact location has on notic-
ing, using a subset of TAB primary research
data. Second, the authors added in the vis-
ual saliency variable to approximate crea-
tive execution. To do this, they used a novel
software program, called Saliency Toolbox
(Walther and Koch, 2006), from the conflu-
ence of computational and cognitive neuro-
science to mimic the human visual attention
process (Itti and Koch, 2000; Itti, Koch, and
Niebur, 1998). The software identified
objects that likely would have received
attention due to visual saliency. It offered
a significant methodological improvement
opportunity for the advertising research
field (Milosavljevic and Cerf, 2008), and
software like it has been used in several
studies to date (Pieters and Wedel, 2004;
van der Lans, Pieters, and Wedel, 2008; Wil-
son, Baack, and Till, 2015).
STUDY 1
Media Measurement
And Out-of-Home Advertising
The majority of today’s media measure-
ment is still based on people’s proximity
to programs, editorials, and advertisement
content. This means there is no indication
whether the advertisements are actually
noticed by consumers. This standard often
is called “opportunity to see.” Opportunity
to see is really a proximity measure and not
an actual measure of noticing advertising.
Although not the only measure of expo-
sure to a medium, opportunity to see is a
standard measure across all media. Print
measures exposure to its content, and tel-
evision primarily measures exposure to its
programming. The out-of-home billboard
version of opportunity to see is circulation.
Circulation is defined as the number of peo-
ple passing by each billboard.
Many within the out-of-home advertis-
ing industry believed its proximity meas-
ures were insufficient. This is because
out-of-home exposure occurs spontane-
ously and does not require any overt
action beyond being outside and moving
around (Ephron et al., 2003).
To potentially grow the business, the
industry needed a more refined measure
that took into account the actual noting of
advertisements. Accordingly, TAB devel-
oped a more robust measurement system
that incorporated a Visibility Adjustment
Index used to reduce out-of-home’s
opportunity-to-see counts. This adjustment
provided a metric that more accurately
reflected the number of people who likely
would see the advertisement. To formulate
the adjustment, TAB conducted a study to
identify the appropriate variables that affect
the noticing of roadside advertising. The
results of that study found that roadside
advertising more likely would be noticed
if it were located closer to the road, located
on the right-hand side of the road (in the
United States and other right-side driving
countries), larger in size, viewable from the
center of windshield, and angled appro-
priately to the road (Traffic Audit Bureau,
2010). TAB collects, calculates, and records
the inputs of these variables for each out-
of-home advertisement location and then
gives an appropriate Visibility Adjustment
Index calculation for each advertisement.
There is a separate pedestrian study of vis-
ibility in use as well, but that portion of the
TAB study fell outside of the purposes of
the current study, which focused on road-
side advertising visible to drivers.
In its effort to develop the Visibility
Adjustment Index, TAB consulted earlier
industry research conducted by the Out-
door Advertising Association of America
(OAAA). These studies proved that bill-
board attributes do have an impact on
noticeability (OAAA, 1983) and that crea-
tive content has an impact as well (OAAA,
2000). The latter two studies also proved
that color and luminance have an impact
on noticing.
TAB also reviewed work done in the
United Kingdom. The U.K. out-of-home
September 2016 JOURNAL OF ADVERTISING RESEARCH 261
THE ROLE OF LOCATION AND VISUAL SALIENCY IN CAPTURING ATTENTION TO OUTDOOR ADVERTISING THEARF.ORG
industry research body Route, formerly
known as POSTAR, was the first to take
out-of-home audience measurement into
the realm of actually seeing the advertise-
ment. They used static imagery to deter-
mine noticing of different out-of-home
media and developed a Visibility Adjust-
ment Index model for the United King-
dom. TAB was able to benchmark Route/
POSTAR’s work, and their results were a
guide for TAB’s own results.
TAB made available its Visibility Adjust-
ment Index scores for the current article
(Traffic Audit Bureau, 2010). In this 2010
study, TAB collected the initial noticing
and reexamining scores for each billboard
studied, but only used noticing scores in its
2010 research, as the purpose was to assess
whether the board was seen or not seen.
Reexamination scores were collected in
case something could be gleaned in future
research. Noticing scores ranged from
the single digits to more than 80 percent,
depending on the quality of the location.
The primary purpose of TAB’s visibility
research program was to determine the
drawing power of out-of-home structures
like bulletins or posters and their physical
position, not the power of the advertising
on the structure. TAB’s measurement sys-
tem focuses specifically on the location,
and not the creative content, because it
is neither feasible nor practical to have a
measure for creative execution, particularly
since there is no way to predict creative
quality. In its 2010 study, TAB controlled for
creative quality by making sure that a wide
array of advertisement executions were
included (Traffic Audit Bureau, 2010). TAB
also graded the creative execution of each
advertisement included in the study based
on feedback from a panel of senior execu-
tives. These grades served as benchmarks
that ensured that the creative content was
neither overtly poor nor grand and that it
was captured appropriately by the video.
By controlling for creative content, TAB
acknowledged the need for a further inves-
tigation on the noticing of advertisements
due to visual saliency.
Location and Attention to Billboards
Academics and practitioners have identi-
fied a number of billboard attributes that
influence the amount of attention given to
roadside advertising (Taylor, 2010; Traf-
fic Audit Bureau, 2010; Wilson and Till,
2012). These attributes are primarily loca-
tion based and include a billboard’s dis-
tance from the road; the side of the road
in which it appears; whether it is view-
able from the center of the windshield at
any point during viewing, called a center
approach; its size; and the amount of time
in which it is visible to those who pass by
it, called dwell time.
For obvious reasons, drivers concentrate
a majority of their attentional resources on
their forward field of vision (Crundall,
Underwood, and Chapman, 2002). Task-
relevant objects within this field, such as
other vehicles and traffic signs, receive the
most attention with only occasional glances
to task-irrelevant objects, such as roadside
advertising (Chapman and Underwood,
1998). When drivers do attend to roadside
advertising, research indicates that 97 per-
cent of glances are within 25 degrees of a
driver’s forward field of vision and 75 per-
cent are within 10 degrees (Beijer, 2002).
Similar results have been found in other
outdoor advertising environments, such
as airports and shopping malls (Thomas-
Smith and Barnett, 2010). Taken together,
these studies highlight the importance
for billboards to be positioned within a
driver’s forward and narrow line of sight.
Billboards located closer to the road or
having a center approach more likely will
be noticed.
Drivers make occasional digressions
from a forward line of sight to other areas
of the driving environment for additional
task-relevant information or to simply
scan the environment. Drivers have been
trained, for example, to look for roadside
markers and directional signs on one par-
ticular side of the road (Cole and Hughes,
1984; Shinoda, Hayhoe, and Shrivastava,
2001). Scanning the environment for task-
relevant information along the roadside
creates the possibility for incidental expo-
sure to billboard advertising, and research
has shown that advertisements found
on the right-hand side of the road in the
United States and the left in the United
Kingdom have a greater likelihood of
being noticed because the advertisement
falls within a driver’s shifted line of sight
(Donthu, Cherian, and Bhargava, 1993;
Young et al., 2009).
Also promoting increased attention are
larger sized advertisements, which are
noticed more frequently than those that are
smaller in scale (Hughes and Cole, 1984;
Thomas-Smith and Barnett, 2010). One
eye-tracking study of roadside advertising
found that larger billboards received 0.65
glances per sign per subject, compared
with 0.06 glances per sign per subject for
smaller billboards (Beijer, 2002). And, in
a transit advertising environment, larger
advertisements garnered higher levels of
recall and recognition than smaller bill-
boards (Wilson and Till, 2008).
These first four variables are part of
TAB’s Visibility Adjustment Index and
were analyzed previously in a larger data-
set and found to be highly predictive of an
ad’s potential to be noticed at least once by
drivers (Traffic Audit Bureau, 2010). The
current authors explain shortly that they
used a smaller portion of the dataset in
this study. On the basis of the previously
discussed combination of academic and
TAB work, the current authors offered the
following hypotheses:
H1: Billboard advertising more likely
will be noticed if it is closer to
the road.
262 JOURNAL OF ADVERTISING RESEARCH September 2016
THE ROLE OF LOCATION AND VISUAL SALIENCY IN CAPTURING ATTENTION TO OUTDOOR ADVERTISING
H2: Billboard advertising in the U.S.
more likely will be noticed if it
is on the right-hand side of the
road as opposed to the left-hand
side of the road.
H3: Billboard advertising more likely
will be noticed if it has a center
approach.
H4: Billboard advertising more likely
will be noticed if it is larger in
size.
TAB’s original research (Traffic Audit
Bureau, 2010) did not specifically explore
the impact of dwell time or the amount of
time that a billboard is in a driver’s field of
vision. In 2013–2014, however, TAB subse-
quently conducted another visibility study
that focused on the impact of dwell time on
the noticing of both standard and digital
out-of-home advertising. TAB released this
enhancement in 2014 as Ratings 2.0 (Traffic
Audit Bureau, 2014). In the 2014 TAB study,
dwell time was measured in the field by
driving respondents at different speeds and
in different traffic congestion patterns past
billboards. It was confirmed that slower pas-
sages, which create longer dwell times, do
increase the noticing of all billboards. Dwell
time is now part of the permanent audience
measurement for all TAB-measured inven-
tories. Accordingly, the current authors also
offered the following hypothesis:
H5: Billboard advertising more likely
will be noticed if it has a longer
dwell time.
STUDY 1 METHODOLOGY
In Study 1, the authors reanalyzed a portion
of the findings from the earlier eye-tracking
study performed by TAB and its vendor
Perception Research Services (Traffic Audit
Bureau, 2010). Perception Research Ser-
vices, based in Teaneck, N.J., are worldwide
experts in eye-tracking technology and
have a long history of measuring out-of-
home advertising. In that larger study,
attention to out-of-home advertising was
assessed across both pedestrian panels and
roadside billboards. To narrow the scope of
their research and to minimize the number
of potential confounding variables, the cur-
rent authors held the advertising format
constant, using only billboards visible to
those driving. They also added dwell time
to the existing mix of Visibility Adjustment
Index variables from the 2010 TAB study.
Dwell time is an additional dependent vari-
able not previously analyzed in the original
2010 TAB research.
Subjects
The 2010 TAB study recruited a total of 312
subjects in the first stage of the study who
were equally distributed across 10 U.S. cit-
ies: Akron, OH; Boston, MA; Chicago, IL;
San Antonio, TX; Detroit, MI; Enfield, CT;
Fort Lauderdale, FL; Hicksville, NY; Phoe-
nix, AZ; and San Diego, CA. Participants
were recruited by telephone and mall
intercept, screened to have normal vision,
and to be above the age of 18 years. TAB
had attempted to recruit an equal split of
male and female participants as well as a
wide array of ages.
Stimuli
Video clips for the TAB study had been
obtained by mounting a camera at a
72-degree angle inside a vehicle from the
driver’s point of view as per independent
research recommendations (Chapman and
Underwood, 1998; Wallis and Bülthoff,
2000). The video had been filmed from a
location in the vehicle where its hood was
not visible and when there was no reflec-
tion from the dash. Because multiple cars
had been used across several filming loca-
tions, TAB did not want the viewer to be
distracted by the hood changing and hav-
ing sun glare appearing and disappearing
randomly during the video loop. Video
had been recorded using a high-definition
video camera.
A variety of roads in Connecticut, Phoe-
nix, and Chicago had been selected for
filming to be representative of a number
of driving experiences, including urban/
suburban, old/new cities, and different
billboard formats, including old or new
structures and pole, building, or wall
mounts. Every attempt had been made
to ensure the driving video was as natu-
ral as possible with the vehicle traveling
at the same speed as surrounding traffic
and in the center lane if multiple lanes in
one direction were present. Filming had
occurred at midday in sunny or partly
sunny weather conditions to ensure that
billboard views were comparable and free
of glare across video clips.
Video clips varying in length from one
to three minutes were carefully merged
to create three unique driving sequences.
Each video ranged from eight to 12 min-
utes in length and contained between
eight and 11 clips. To minimize hypoth-
esis guessing, some clips contained lim-
ited billboards with long spacing between
advertisement locations. Each clip faded to
black before the next clip faded in to cre-
ate smooth transitions. A two-second black
frame appeared in between each clip. A
total of 119 billboards were included across
all three driving sequences.
Procedure
The 2010 TAB study brought participants
in the ten previously mentioned testing
sites into a testing facility at a local mall in
their respective city. The facility included
a waiting room area and a separate room
where the study took place. Participants
randomly were shown one of the three driv-
ing sequence videos. They were instructed
to watch it as if they were the driver of the
vehicle. Participants were told the purpose
of the video-clip-viewing exercise was to
September 2016 JOURNAL OF ADVERTISING RESEARCH 263
THE ROLE OF LOCATION AND VISUAL SALIENCY IN CAPTURING ATTENTION TO OUTDOOR ADVERTISING THEARF.ORG
assess normal driving behaviors, which ear-
lier pilot phase participants had indicated
was what they believed the purpose of the
study to be. No pilot participant believed
the purpose of the study was the noticing
of roadside advertising.
Videos were displayed on a new large
high-definition television at a distance of
about 10 feet, so as to approximate the
proper field of view given through a wind-
shield. Participants’ eye movements were
recorded using an ISCAN ETL-324 eye-
tracking system that was mounted to the
floor. No headgear was worn. Participants
were recorded as fixating on a billboard if
they attended to it for at least 0.25 seconds.
This minimum threshold was identified
by an onsite eye-tracking expert and con-
firmed by consulting academic research
(Sereno and Rayner, 2003).
To verify a driver simulation, 20 stimuli
across the three driving sequences were
included as objects participants must see to
be included in the study, for example, a low-
flying airplane on the horizon, a passing
car, and so forth. Additionally, participants
were observed behind a double mirror to
ensure participants remained attentive. Six
participants were removed for inattentive-
ness, leaving 306 participants.
Variables
TAB defined the noticing of billboards as
both the initial noting of a billboard and
the subsequent reexamining of a billboard.
These two items formed the dependent
variables used in the current study. The
initial noting score was measured as the
percentage of subjects attending to a bill-
board once for at least 0.25 seconds while
the reexamining score was measured as
the percentage of participants noting a
billboard a second time for at least 0.25
seconds. All location variables needed for
each hypothesis were coded separately in
the TAB study.
For the independent location variables,
a billboard’s distance from the road was
measured in feet from its base to the closest
lane from which it was visible (Hypothesis
1). The side of the road in which a billboard
appeared was coded as a 0 for the left-hand
side of the road and a 1 for the right-hand
side of the road (Hypothesis 2). Whether
a billboard was visible from the center of
the road was coded as 0 for not having a
center approach and 1 for having a center
approach (Hypothesis 3). A billboard was
considered to have a center approach if it
was visible from the center of the wind-
shield at any point during viewing, which
was typically within ten degrees of a driv-
er’s direct forward-looking glance (five
degrees to the right and left of the viewer’s
eye). Size was measured in square feet of
the billboard’s display area (Hypothesis
4). A 30-sheet poster would, for example,
be commonly listed as 300 square feet (12′
× 25′). Finally, the amount of time a bill-
board was visible on the video, an indica-
tor of dwell time, was measured in seconds
(Hypothesis 5). The authors calculated the
dwell-time measure, as it was not part of
the 2010 TAB study.
STUDY 1 RESULTS
A linear regression analysis was used to
determine how location attributes influ-
ence the initial noting and subsequent
reexamining of billboard advertising.
Pearson correlations among the independ-
ent variables were not greater than 0.37;
variance inflation factors (VIFs) for all
variables in the regression were less than
TABLE 1
Pearson Correlation Matrix (N = 119)
12345678910 11
1. Noting —
2. Reexamining 0.95*** —
3. Distance –0.42*** –0.39*** —
4. Side of road 0.37*** 0.34*** 0.06 —
5. Center 0.24** 0.29** –0.11 –0.03 —
6. Billboard size 0.24* 0.25** 0.29** 0.10 0.09 —
7. Dwell time 0.31** 0.39*** –0.01 –0.08 0.12 0.29** —
8. Visual saliency (VS) 0.12 0.02 –0.06 0.17 –0.06 0.18* –0.26** —
9. VS × Distance –0.13 –0.17 0.40*** 0.10 –0.08 0.35*** –0.12 0.73*** —
10. VS × Side of road 0.29** 0.19* –0.07 0.57*** –0.03 0.11 –0.29** 0.77*** 0.52*** —
11. VS × Center 0.23* 0.28** –0.07 0.05 0.75*** 0.15 0.16 0.06 –0.01 0.07 —
*p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001
264 JOURNAL OF ADVERTISING RESEARCH September 2016
THE ROLE OF LOCATION AND VISUAL SALIENCY IN CAPTURING ATTENTION TO OUTDOOR ADVERTISING
1.3, suggesting the absence of multicollin-
earity or that each independent variable in
the current model was measuring unique
items (See Table 1; Hair et al., 2005).
The results for the initial noting of bill-
board advertising were significant, adjusted
R2 = 0.509, F(5, 113) = 25.587, p < 0.00 (See
Model 1, Table 2). All hypotheses were pre-
liminarily supported. Billboard advertising
more likely was noticed because of its dis-
tance from the road (Hypothesis 1, p < 0.00),
side of the road (Hypothesis 2, p < 0.00),
center approach (Hypothesis 3, p < 0.05),
billboard size (Hypothesis 4, p < 0.01), and
dwell time (Hypothesis 5, p < 0.01).
The results for the reexamining of
billboard advertising were significant,
adjusted R2 = 0.520, F(5, 113) = 26.596, p <
0.00 (See Model 1, Table 3). All hypotheses
were preliminarily supported. Billboard
advertising more likely will be reexam-
ined because of its distance from the road
(Hypothesis 1, p < 0.00), side of the road
(Hypothesis 2, p < 0.00), center approach
(Hypothesis 3, p < 0.01), billboard size
(Hypothesis 4, p < 0.01), and dwell time
(Hypothesis 5, p < 0.00).
The results of the first study generally
aligned with the findings from the initial
TAB study. Some results differed, however,
because the current authors’ research used
a subset of the data from the original TAB
study and added dwell time as an addi-
tional independent variable and reexam-
ining as an additional dependent variable.
The initial TAB study also presented a mul-
tivariate solution while the hypotheses the
current authors tested were univariate.
STUDY 2
To determine visual saliency’s role in the
attention capture of billboard advertising,
the current authors used visual attention
theory from cognitive neuroscience to
inform their hypotheses.
TABLE 2
Regression Results for Noting (N = 119)
Variable
Model
1 2 3
Distance from road –0.498*** –0.371***
Side of road 0.399*** 0.293**
Center approach 0.149* 0.212*
Billboard size (sq ft) 0.256** 0.264**
Dwell time 0.245** 0.303***
Visual saliency 0.102 0.134
Visual saliency × Distance –0.419** –0.253*
Visual saliency × Side of road 0.412** 0.196
Visual saliency × Center approach 0.188* –0.087
Adjusted R20.509 0.201 0.522
ΔR20.530*** 0.228*** 0.029
Model F 25.487*** 8.423*** 15.324***
Note: Standardized Beta coefficients are presented in all models. Sq ft = square feet.
*p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001
TABLE 3
Regression Results for Reexamining (N = 119)
Variable
Model
1 2 3
Distance from road –0.450*** –0.381***
Side of road 0.376*** 0.305**
Center approach 0.187** 0.188
Billboard size (sq ft) 0.231** 0.254**
Dwell time 0.327*** 0.341***
Visual saliency –0.030 0.006
Visual saliency × Distance –0.330** –0.156
Visual saliency × Side of road 0.362** 0.142
Visual saliency × Center approach 0.254** 0.009
Adjusted R20.530 0.164 0.514
ΔR20.541*** 0.193*** 0.010
Model F 26.596*** 6.803*** 14.867***
Note: Standardized Beta coefficients are presented in all models. Sq ft = square feet.
*p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001
September 2016 JOURNAL OF ADVERTISING RESEARCH 265
THE ROLE OF LOCATION AND VISUAL SALIENCY IN CAPTURING ATTENTION TO OUTDOOR ADVERTISING THEARF.ORG
Visual Attention Theory
Visual attention theory suggests that
two factors explain why people attend to
objects in a visual scene (Treisman and
Gelade, 1980; Wolfe, 1994, 1998). The two
factors commonly are classified as bottom-
up and top-down. These factors are not
only applicable to broader visual contexts
but also to more specific advertising con-
texts (Milosavljevic and Cerf, 2008; Pieters
and Wedel, 2004).
Bottom-up factors refer to the characteris-
tics of objects that are prominent within the
visual field. People attend to these objects
reflexively and involuntarily, often because
of an object’s size, motion, curvature, orien-
tation, color, and luminance. Objects with
these characteristics pop out and are gen-
erally the first objects to be noticed when
individuals orient themselves to a new
environment. In a driving context, objects
larger in size tend to be more easily noticed
than smaller objects (Hughes and Cole,
1984), as are objects that quickly move in
and out of a driver’s field of vision, such
as pedestrians or other vehicles (Shinoda,
Hayhoe, and Shrivastava, 2001). Moreover,
objects aligned along a real or imaginary
axis that possess contrasting colors and that
are brighter or darker than other objects in
the visual field more likely will be noticed
(Underwood, Humphrey, and van Loon,
2011). In a driving situation, these might
include a red sign against a blue sky or a
line of orange construction barrels.
Bottom-up processing is done quickly
and objects are processed in parallel,
meaning that multiple objects can be pre-
attentively processed simultaneously.
Bottom-up factors are thought to have
the greatest influence on attention imme-
diately after their onset as people orient
themselves to the situation or task (Donk
and Soesman, 2010; Le Meur, Le Cal-
let, Barba, and Thoreau, 2006). As time
progresses, however, attention to objects
due to bottom-up factors decreases as
task-driven, top-down factors take hold
(Parkhurst, Law, and Niebur, 2002).
Top-down factors are related to cogni-
tion and are associated with a person’s
existing knowledge and expectations
about a visual scene (Corbetta and Shul-
man, 2002). Objects are attended to if they
possess task-relevant features (Theeuwes,
2004; Yarbus, 1967). In a driving context,
attention related to top-down processing
is often is focused on objects containing
information that aids in the driving task,
such as traffic signs, traffic signals, and
objects in the intersection and highway
exits (Chapman and Underwood, 1998).
Unlike bottom-up processing, which is
done in parallel, top-down processing is
performed serially and objects are attended
to in a particular order depending on the
task (Wolfe, 1994).
Visual Saliency
And Attention to Billboards
Three bottom-up features typically are
referred to as visual saliency: color; lumi-
nance, which can be defined as intensity;
bright and dark contrasts; and orienta-
tion, as in objects aligned along an axis.
They traditionally are grouped together
and researched collectively because they
represent the best approximation of the
visual features detected early in human
visual search. Humans also tend to
respond to these factors as a group rather
than individually (Borji, Sihite, and Itti,
2013; Itti and Koch, 2000; Le Meur and
Chevet, 2010).
With respect to out-of-home advertis-
ing, visual saliency is defined as the abil-
ity for a billboard’s creative content, not
its physical structure, to be noticed by pas-
sersby because of its reflexive or bottom-
up properties, meaning its color, intensity,
and orientation. Objects, or group of pix-
els, within the advertisement that have
contrasting color combinations (the color
dimension); that have stark differences
in light and dark (the intensity dimen-
sion); and that are arranged along a real
or imaginary axis (the orientation dimen-
sion), more likely will receive involuntary
eye movements. Visual saliency excludes
the noticing of objects within a billboard’s
creative content because of cognitive or
top-down factors, like existing knowledge
of a scene or the semantic meaning of
words, pictures, or graphics.
Objects that are more visually salient
tend to be noticed early. This is because
attention is distributed broadly over a vis-
ual field so the environment can be assessed
and relevant objects identified. With the
passage of time, or as tasks become more
demanding, however, top-down guidance
of attention increases in strength and influ-
ence and attention becomes much more
focused, often described as a spotlight or
window of attention (Chen and Zelinsky,
2006). As a result, the role of visual sali-
ency in attracting attention becomes more
limited, but it does not disappear entirely
(Theeuwes, 2004). Although objects out-
side the window of attention become too
far removed from focal attention to ben-
efit from visually salient properties, visu-
ally salient objects within the window of
attention can still attract attention despite
the predominance of top-down process-
ing (Mortier, Donk, and Theeuwes, 2003;
Theeuwes, 1991; Yantis and Jonides, 1990).
The narrowed window of attention is
quite relevant to the roadside advertis-
ing environment. In this context, drivers
primarily focus their attention in their
forward-looking visual field where future
traffic hazards are likely to be found
(Chapman and Underwood, 1998). From
a top-down perspective, other vehicles
and pedestrians likely will capture their
attention. Visually salient objects, how-
ever, such as billboard advertising, also
may capture attention. This is especially
true for billboards with a center approach
as it places the advertisement within the
266 JOURNAL OF ADVERTISING RESEARCH September 2016
THE ROLE OF LOCATION AND VISUAL SALIENCY IN CAPTURING ATTENTION TO OUTDOOR ADVERTISING
driver’s forward-looking window of atten-
tion. Center-approach billboards with con-
trasting colors, dark and bright areas, and
variation in object orientation likely will
capture attention.
Although drivers need to concentrate
their narrowed window of attention on
their forward-looking visual field, they
may also need to scan the environment for
street signs and other directional informa-
tion. Drivers have been trained to look for
task-relevant signage close to the road and
typically on one side of the road (Trick,
Enns, Mills, and Vavrik, 2004). Billboards
with visually salient advertising located
within a driver’s shifted window of atten-
tion may then capture this attention.
Results from the first study confirmed
that billboards placed within the driver’s
window of attention more likely would be
noticed. Specifically stated, placing a bill-
board closer to the road, on the right-hand
side of the road (in the United States), or
with a center approach will help position
the billboard within a driver’s window of
attention and thus create the most optimal
situation for noticing. A billboard’s ability to
attract attention in these circumstances may
be greatly enhanced by the visual salience
of the creative message it carries. Billboard
advertising that possesses contrasting
colors, bright and dark areas, and variation
in object orientation within the window of
attention will have an increased possibility
of being noticed (Mortier et al., 2003; Theeu-
wes, 1991; Yantis and Jonides, 1990). Higher
noticing increases the amount of real pro-
cessing. Visual saliency outside the window
of attention was not expected to increase the
noticing of a billboard’s advertising. As a
result of these theories, the authors offered
the following hypotheses:
H6: Visually salient advertising on a
billboard will have a significant
difference in noticing when it is
located close to the road.
H7: Visually salient advertising on a
billboard will show a significant
difference in noticing when it is
located on the right-hand side of
the road in the U.S.
H8: Visually salient advertising on a
billboard will show a significant
difference in noticing when it
has a center approach.
STUDY 2 METHODOLOGY
Procedures
To test Hypotheses 6 through 8, the
authors calculated the visual saliency of
advertising from billboards in Study 1
using a computational model for visual
attention. The model comes from the con-
fluence of cognitive and computational
neuroscience and successfully mimics
human visual attention behavior (Koch
and Ullman, 1985). The most widely used
computational model is the one developed
by Itti and colleagues (Itti and Koch, 2000;
Itti et al., 1998). It relies on computer algo-
rithms to emulate human visual attention,
and its prediction of visually salient objects
in images has been shown to strongly cor-
relate with actual human behavior and
eye-tracking studies (Elazary and Itti, 2008;
Le Meur and Chevet, 2010; Parkhurst et al.,
2002; Peters, Iyer, Itti, and Koch, 2005). A
Matlab algorithm, called Saliency Toolbox
(Walther and Koch, 2006), was used as
an interface to Itti and colleagues’ com-
putational model (hereinafter referred to
as simply the visual saliency model). The
Saliency Toolbox is a collection of math-
ematical functions and scripts used to cal-
culate the visual saliency in an image.
The visual saliency model analyzes a
static image for the presence of contrast-
ing colors, bright and dark areas, and vari-
ations in object orientation. The analysis
occurs separately for each of the three
bottom-up features by generating a conspi-
cuity map for each variable (See Figure 1).
Within each map, the software analyzes the
pixelated image using a center-surround
methodology. That is, it analyzes a pixel,
or group of pixels, and compares it to its
neighboring pixels. Areas with significant
differences in color, intensity, and orienta-
tion are thus extracted from the image as a
potential object that is likely to be attended
to for stimulus-driven reasons.
Within the color conspicuity map,
objects are noticed based on contrasting
color combinations of red–green and blue–
yellow. For the intensity conspicuity map,
objects that are expected to attract atten-
tion are identified through a group of pix-
els with dark centers and bright surrounds,
or vice-versa. The orientation conspicuity
map is created by searching for pixels that
are aligned along 0°, 45°, 90°, and 135° axis.
To determine which object, that is, which
group of pixels, is the most salient across
the entire image, the saliency model line-
arly sums the three conspicuity maps into
one saliency map. The group of pixels with
the highest value within the saliency map
is selected as the object that most likely
would be attended.
To determine the next object that likely
would receive attention, the saliency
model inhibits the first attended to item,
a process that has been demonstrated to
occur naturally in human behavior (Pos-
ner and Cohen, 1984). This prevents the
first object from immediately being rese-
lected as salient. The object is inhibited for
approximately 500–900 milliseconds (ms)
of simulated time depending on the static
image’s complexity. Once inhibited, the
saliency model recalculates the conspicuity
and saliency maps to identify the second
most salient object, a process that takes
about 30–70 ms.
The program continues this process until
all salient objects are identified and the first
attended-to object is reselected. Through
the selection process of salient objects, the
saliency model creates a scan-path plot,
September 2016 JOURNAL OF ADVERTISING RESEARCH 267
THE ROLE OF LOCATION AND VISUAL SALIENCY IN CAPTURING ATTENTION TO OUTDOOR ADVERTISING THEARF.ORG
which identifies all objects in the order of
their selection (See Figure 2). The number
of items in a scan-path plot depends on the
image’s complexity (for more on such issues
see Koch and Ullman, 1985; Itti et al., 1998).
Variables
Based on color, intensity, and orientation,
the visual saliency model was set to iden-
tify salient objects within a circular focal
area having a radius of 1/16 of the image’s
width (Elazary and Itti, 2008). To deter-
mine whether billboard advertising was
visually salient, still images from the video
from the original TAB study were captured
every two seconds. All images containing a
target billboard then were analyzed using
the visual saliency model and assigned a
visual saliency score. If any portion of the
billboard’s display area was within the focal
area and within the first five objects within
the scan-path plot, the billboard’s adver-
tising was deemed visually salient within
that image. Advertising saliency for each
billboard then was calculated by summing
up the number of images in which a par-
ticular billboard’s advertising appeared as
visually salient and dividing it by the total
number of images containing the advertise-
ment. An advertisement visible on screen
for 20 seconds, for example, would have
10 images associated with it (one for every
two seconds on screen). If an advertisement
was visually salient in four of the 10 images,
then the advertisement was given a visual
saliency score of 0.4 (four divided by ten).
Using the first five objects as visually sali-
ent within the scan-path plot has support
in the visual attention literature. First, it is
consistent with other research that suggests
bottom-up saliency is greatest just after
stimulus onset (Donk and Soesman, 2010;
Le Meur et al., 2006; Parkhurst et al., 2002).
Second, the first five locations identified
by subjects as visually salient are the most
similar across subjects, whereas later fixa-
tions are not (Tatler, Baddeley, and Gilchrist,
Figure 2 Abbreviated Scan-Path Plot
3
1
2
Figure 1 Conspicuity Maps for Color, Intensity, and
Orientation and Overall Saliency Map
OrientationIntensityColor
Saliency Map
268 JOURNAL OF ADVERTISING RESEARCH September 2016
THE ROLE OF LOCATION AND VISUAL SALIENCY IN CAPTURING ATTENTION TO OUTDOOR ADVERTISING
2005). Third, comparisons using the visual
saliency model with what people physically
label as generally the most interesting object
in outdoor scenes correlates the strongest
with the first five objects identified as visu-
ally salient ( Elazary and Itti, 2006).
To specifically test Hypotheses 6 through
8, three of the location variables were mul-
tiplied by the visual saliency score for each
billboard advertisement creating three
interaction variables: Visual saliency × Dis-
tance, Visual saliency × Side of the road,
and Visual saliency × Center approach.
STUDY 2 RESULTS
A linear regression analysis was used to
assess the impact the visual saliency of a
billboard’s advertising had on its poten-
tial to be initially noticed and subse-
quently reexamined. Pearson correlations
among the independent variables were
not greater than 0.77 (See Table 1). Multi-
collinearity appears not to be an issue as
the VIFs for all variables in the regression
were less than 2.5 (Hair et al., 2005).
The results for the initial noting of a
billboard’s advertising were significant,
adjusted R2 = 0.201, F(4, 114) = 8.423, p <
0.00 (See Model 2, Table 2). All hypoth-
eses were preliminarily supported. Bill-
board advertising more likely would be
noticed initially if it was visually salient
and located closer to the road (Hypoth-
esis 6, p < 0.01), visually salient and on the
right-hand side of the road (Hypothesis 7,
p < 0.01), and visually salient with a center
approach (Hypothesis 8, p < 0.05). Adver-
tising visual saliency by itself was not sig-
nificant (p = 0.532).
The results for the subsequent reexami-
nation of a billboard’s advertising were
significant, adjusted R2 = 0.164, F(4, 114)
= 6.803, p < 0.00 (See Model 2, Table 3).
All hypotheses were preliminarily sup-
ported. Billboard advertising more likely
would be reexamined if the advertising
was visually salient and located closer to
the road (Hypothesis 6, p < 0.01), visually
salient and on the right-hand side of the
road (Hypothesis 7, p < 0.01), and visually
salient with a center approach (Hypothesis
8, p < 0.01). Advertising visual saliency by
itself was not significant (p = 0.856).
To address the research question of
whether visual saliency adds any addi-
tional value beyond the location-based
attributes, the authors used an additional
set of linear regressions combining all vari-
ables into one regression equation. One
regression was used to assess the variables
associated with all eight hypotheses for the
initial noticing of billboard advertising and
another to assess the subsequent reexami-
nation of billboard advertising. In the new
models, the VIFs did increase from earlier
models to 6.0, but they were still below the
level of ten recommended in marketing
research (Mason and Perreault, 1991).
The results for the full model for the ini-
tial noting of billboard advertising were
significant, adjusted R2 = 0.522, F(9, 109) =
15.324, p < 0.00, but its adjusted R2 was not
significantly improved from the previous
adjusted R2 of 0.509 for only location-based
attributes (p = 0.142) (See Model 1 and 3,
Table 2). Six of the eight hypotheses were
supported. Billboard advertising more
likely would be initially noticed due to
its distance from the road (Hypothesis 1,
p < 0.00), side of the road (Hypothesis 2,
p < 0.01), center approach (Hypothesis 3,
p < 0.05), billboard size (Hypothesis 4, p <
0.01), dwell time (Hypothesis 5, p < 0.00),
and whether it was both salient and located
closer to the road (Hypothesis 6, p < 0.05).
Billboard advertising that is visually sali-
ent and on the right-hand side of the road
(Hypothesis 7, p = 0.17) and visually sali-
ent with a center approach (Hypothesis 8,
p = 0.39) were not supported. As expected,
advertising visual saliency by itself was
also not significant (p = 0.39).
The results for the full model for the
subsequent reexamination of billboard
advertising were significant, adjusted R2 =
0.514, F(9, 109) = 14.867, p < 0.00, but its
adjusted R2 was not significantly improved
from the previous adjusted R2 of 0.530 for
only location-based attributes (p = 0.639)
(See Model 1 and 3, Table 3). Only four
hypotheses were supported. Billboard
advertising more likely would be subse-
quently reexamined due to its distance
from the road (Hypothesis 1, p < 0.00),
side of the road (Hypothesis 2, p < 0.01),
billboard size (Hypothesis 4, p < 0.01), and
dwell time (Hypothesis 6, p < 0.00). Center
approach (Hypothesis 3, p = 0.06), Visually
salient × Closer to the road (Hypothesis
6, p = 0.23), Visually salient × Side of the
road (Hypothesis 7, p = 0.32), and Visually
salient × Center approach (Hypothesis 8, p
= 0.93) were not supported. As expected,
advertising visual saliency by itself was
also not significant (p = 0.97).
To better understand these latter regres-
sion results and determine which specific
variables contributed the most to atten-
tion capture, a relative weight analysis
was performed. A relative weight analysis
is useful in determining the set of predic-
tor variables that maximize the amount
of variance explained in the regression
Billboard advertising more likely would be
reexamined if the advertising was visually
salient and located closer to the road.
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THE ROLE OF LOCATION AND VISUAL SALIENCY IN CAPTURING ATTENTION TO OUTDOOR ADVERTISING THEARF.ORG
equation, which is different than what
regression coefficients provide (Tonidan-
del and LeBreton, 2011). Regression coef-
ficients explain how a one-unit increase in
a predictor variable influences the depend-
ent variable while holding all other vari-
ables constant. A relative weight analysis
explains the contribution each of the pre-
dictor variables has on the variance of the
dependent variable. Relative weights were
calculated using the procedure outlined by
Johnson (2000) (See Table 4).
Although the order of importance for
the following variables varies across
dependent variables, the relative weight
analysis shows that distance from the
road, side of the road, dwell time, and
billboard size were by far the most impor-
tant variables in explaining both the
initial noting and the reexamining of bill-
boards. Collectively, these four variables
explained 72 percent and 75 percent of
the total variance in noting and reexam-
ining billboard advertising, respectively.
No other variable individually contrib-
uted more than an additional ten percent
toward this explanation.
DISCUSSION OF STUDIES 1 AND 2
A billboard’s location and proximity to the
driver’s window of attention was shown
here to be of primary importance. Visual
saliency becomes important only when
these location criteria are met.
Location-based attributes appeared to
have contributed the most to the current
authors’ understanding of the issue. In fact,
the F value for the full model decreases
quite significantly from the model con-
taining only the location-based variables,
which suggests the superiority of location-
based attributes in predicting attention to
billboard advertising.
The initial noticing of billboard adver-
tising was dependent on its distance from
the road, the side of the road in which
it appeared, its size, it having a center
approach, and it being visible for longer
periods of time. Thus, the use of location-
based attributes was necessary to develop
an accurate and meaningful definition of
out-of-home media audiences in a road-
side context. It is a higher level definition
in that it is based on the likelihood of notic-
ing advertisements.
In the roadside advertising arena, there-
fore, there is no true definition of audience
without understanding each billboard’s
specific location. In addition to the origi-
nal variables TAB assigned to its Visibility
Adjustment Index (Traffic Audit Bureau,
2010), the current authors added dwell time
(the amount of time spent in range of see-
ing the board) to the list of variables having
a significant impact. It was dwell time that
connected the contact zone of the respond-
ent to the location attributes of the billboard.
This investigation also went beyond the
initial noticing of the advertisement and
therefore the original purpose of the TAB
research. The authors also examined the
environmental and visual saliency aspects
against the reexamination of billboards.
Understanding reexamination is noteworthy
from an audience measurement perspective
when it comes to applying these findings to
digital billboards. Digital billboards have
more than one advertisement on the same
location. The rate of reexamining is thus a
critical input to applying ratings to individ-
ual spots within one digital structure.
The four location-based attributes that
impacted the initial noticing of the adver-
tisement also significantly contributed to
it receiving a subsequent glance. Distance
from the road, side of the road, dwell
time, and billboard size are the factors that
assisted drivers in the current study to take
another look at billboard advertising. One
variable, center approach, had no effect on
reexamination in the full model. A possible
explanation for this is that advertising with
a center approach may be noticed and suf-
ficiently processed in the first glance due
to its centrality within the forward field of
vision thereby negating the need to reex-
amine it again.
Visual saliency was important within the
framework of well-positioned locations, but
not as important as location-based attrib-
utes. This seems to suggest that bottom-up
factors have a limited influence on drivers’
TABLE 4
Relative Weights of Predictor Variables1
Variable
Noting Reexamining
RW2Percent3RW2Percent3
Distance from road 0.153 27. 5 0.136 24.5
Side of road 0.099 17.8 0.093 16.7
Center approach 0.030 5.3 0.041 7.4
Billboard size (sq ft) 0.061 11.0 0.062 11.2
Dwell time 0.089 15.9 0.124 22.3
Visual saliency 0.022 3.9 0.012 2.1
Visual saliency × Distance 0.036 6.4 0.031 5.5
Visual saliency × Side of road 0.054 9.7 0.033 6.0
Visual saliency × Center approach 0.014 2.4 0.024 4.3
Notes:
1 Full model (Model 3 from Tables 2 and 3)
2 Relative Weight (RW)
3 Percent represents each individual RW’s contribution to the sum of RW
270 JOURNAL OF ADVERTISING RESEARCH September 2016
THE ROLE OF LOCATION AND VISUAL SALIENCY IN CAPTURING ATTENTION TO OUTDOOR ADVERTISING
attention to task-irrelevant objects such
as advertising. Rather, top-down factors
contributed more to incidental exposure
to advertising stemming from billboards’
proximity to objects relevant to the driving
task. In other words, billboard advertising
appeared to be attended to because it was
located close to where other vehicles, pedes-
trians, traffic signals, and directional signage
were found rather than due to its ability to
be visually salient within its surroundings
(Chapman and Underwood, 1998).
It should not be overlooked that one vis-
ual saliency feature was significant in the
full model. The interaction of visual sali-
ency and distance suggests that billboard
advertising, which is able to pop out of its
environment, likely would be noticed ini-
tially if it was located closer to the road.
This appears to confirm the presence of a
window of attention effect where bottom-
up factors are able to capture attention
despite individuals engaging in a highly
top-down activity such as driving. The
importance of the visual saliency and dis-
tance interaction variable seemed to all
but disappear, however, when its relative
weight in the full model was considered
(See Table 4). The interaction variable
explained 6.4 percent of the initial noting
of billboard advertising, whereas distance
by itself explained the most at 27.5 percent.
Clearly visual saliency was an important
consideration when designing attention-
grabbing billboard advertising. Whenever
possible, however, priority should be given
to selecting a more favorable location
rather than to designing an advertisement
that contrasts with its environment.
THEORETICAL IMPLICATIONS
From a theoretical perspective, this study
has several important implications. First,
the visual saliency model offers a method
to operationalize a portion of the theoreti-
cal constructs associated with attention to
advertising. The model easily identifies
an important subset of stimulus-driven,
bottom-up advertisement features, and
its identification can be done without the
cumbersome and at times impractical
eye-tracking equipment. This is especially
important in driving contexts where the use
of eye-tracking equipment can pose safety
hazards or limit subjects’ periphery vision
and range of motion. Despite the techno-
logical advances in making eye-tracking
glasses much smaller and light weight, their
use still poses a possible liability in driving
situations that some internal review boards
likely would not approve. The current
authors hope this study not only stimulates
interest but also provides a methodology
for how the visual saliency model can be
used in future advertising and marketing
effectiveness research.
Second, the study continues the momen-
tum building within the marketing litera-
ture by using visual attention theories to
better understand the effectiveness of pro-
motional tactics (e.g., Pieters and Wedel,
2004; Wilson et al., 2015). This not only
enriches researchers’ understanding of
marketing phenomena but also provides
alternative views in how advertising
works. Using bottom-up and top-down
factors in the discussion of why and how
consumers attend to advertising repre-
sents a more sophisticated discussion of
attention, especially within the out-of-
home advertising research stream. Previ-
ous research in this area, while certainly
contributing to a greater understanding
of the medium, often casually mentions
an outdoor advertisement’s potential to
attract attention without tying it more
directly to theoretical constructs.
Finally, theoretical implications extend
beyond the field of marketing and into the
field of vision science. Previous research
on the window of attention effect only
has occurred in the laboratory using
noncontext-relevant stimuli (e.g., Mortier
et al., 2003; Theeuwes, 1991; Yantis and
Jonides, 1990). As such, the current study
extends this area of research into the mar-
keting domain and confirms the existence
of the window of attention, at least to some
degree, in a roadside advertising context—
a progression that some authors have high-
lighted as a strategic imperative in moving
the attentional research forward (Shinoda
et al., 2001). Indeed, performing replication
research is critical to identifying and veri-
fying substantive and empirical bound-
ary conditions (Evanschitzky, Baumgarth,
Hubbard, and Armstrong, 2007).
PRACTICAL IMPLICATIONS
By providing visibility adjustments to its
circulation measures in order to arrive at
audience impressions and ratings, the out-
of-home industry recognizes that oppor-
tunity to see, while used widely in other
media’s audience measurements, is not the
most accurate measure of audiences seeing
advertising. Understanding opportunity to
Despite the technological advances in making
eye-tracking glasses much smaller and light
weight, their use still poses a possible liability
in driving situations that some internal
review boards are unlikely to approve.
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THE ROLE OF LOCATION AND VISUAL SALIENCY IN CAPTURING ATTENTION TO OUTDOOR ADVERTISING THEARF.ORG
see is just the first part. Applying visibility
adjustments to billboard circulation brings
into play each billboard’s unique location
attributes to more accurately measure real
audience exposure. No other media meas-
ures actually seeing advertising (Ephron
et al., 2003). The current article reaffirms
that the physical attributes of out-of-home
structures and their relative position to the
driver significantly impact the likelihood
that an advertisement on the unit will be
noticed. Furthermore, this article verified
TAB’s recently completed study that dwell
time also has a significant impact on notic-
ing advertising. TAB studies to date verify
that this location premise along with dwell
time do matter with quantitative facts.
Great creative execution as a measure
of impact was not part of the original TAB
study. The current research demonstrates
that identifying good locations is very
important for noticeability. There is an
incremental finding, however, that comes
from the power of creative content, opera-
tionalized in this study as visual saliency.
Visual saliency shows that content and
execution can have a significant impact
if care is taken to place the advertisement
properly. To get the biggest advantage,
great location coupled with great crea-
tive content is necessary. It is, therefore,
possible and worthwhile to evaluate each
unit not only on its location specifics but
also on whether the advertisement is con-
sidered affective within the environment
where it is placed. Testing before locations
are selected and then selecting billboards
based on the TAB ratings system, includ-
ing dwell time, can make a difference in
overall campaign impact.
LIMITATIONS AND FUTURE RESEARCH
A limitation of this research is that road-
side advertising effectiveness was meas-
ured using attention given to billboard
advertising. The research did not take
into account whether the message was
processed, retained in memory, or persua-
sive. Although attention to an advertise-
ment is certainly a necessary condition for
message processing, it is not sufficient to
ensure that processing occurs (MacInnis
and Jaworski, 1989).
An additional limitation is that this
research used video rather than an in-field
study, which makes it difficult to take into
account driver speed and the actual dis-
tance a billboard comes into view. This
may be less of a concern, however, consid-
ering other research has found that simula-
tions produce similar visual attention and
task engagement results as compared to
field studies (Wang et al., 2010). TAB’s 2014
field study of dwell time also confirmed
the positive impact of this variable (Traffic
Audit Bureau, 2014).
Future research could manipulate vari-
ous top-down factors to determine their
influence on the window of attention. For
example, is it possible to shift the win-
dow of attention by altering top-down
goals? Also, research should consider an
additional measurement for advertising
effectiveness beyond attention with out of
home, such as recognition or recall, atti-
tudes, beliefs, and purchase intent (Wilson
et al., 2015; Wilson and Till, 2011).
ABOUT THE AUTHORS
riCK t. wilson is assistant professor of marketing at the
McCoy College of Business at Texas State University.
His research interests include out-of-home advertising,
creativity in advertising, and foreign direct investment
promotion. Wilson’s published work has appeared in the
Journal of Advertising Research, Journal of Adver tising,
International Journal of Adver tising, Journal of Current
Issues and Research in Advertising, Journal of
International Marketing, and International Marketing
Review, among other journals.
JeFFrey CAsper is svp, director of marketing for the Trafc
Audit Bureau of Media Measurement, Inc. (TAB, renamed
Geopath in September 2016), the ofcial audience
measurement bureau for out-of-home advertising in the
United States. Prior to his current role, Casper served
as svp, director of audit operations and research at
TAB, where he codeveloped the TAB eyes on audience
measurement system. Casper has worked as a media
research executive at MEC and JWT. He also has served
as an adjunct assistant professor of marketing at Pace
and Fordham Universities in New York.
ACKNOWLEDGMENTS
The authors thank the Traffic Audit Bureau for
Media Measurement, Inc. (TAB) for providing
the data analyzed in this article and acknowl-
edge Perception Research Services, Inc. for their
work in providing the eye-tracking research.
The data were shared so that TAB could learn
more about ad noting and visual saliency.
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