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This paper reports a study of how familiarity and gender may influence the frames of reference used in memory to represent a real-world regularly shaped environment. Familiar and unfamiliar participants learned the locations of three triads of buildings by walking on a path which encircled each triad. Then they were shown with maps reproducing these triads at five different orientations (from 0° to 180°) and had to judge whether each triad represented correctly the relative positions between the buildings. Results showed that unfamiliar participants performed better when the orientation of triads was closer to the learning perspective (0° and 45°) and corresponded to front rather than to back positions. Instead, familiar participants showed a facilitation for triads oriented along orthogonal axes (0°–180°, 90°) and no difference between front and back positions. These findings suggested that locations of unfamiliar buildings were mentally represented in terms of egocentric frames of reference; instead, allocentric frames of reference defined by the environment were used when the environment was familiar. Finally, males were more accurate and faster than females, and this difference was particularly evident in participants unfamiliar with the environment.
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The effects of familiarity and gender on spatial representation
Tina Iachini
*
, Francesco Ruotolo, Gennaro Ruggiero
Department of Psychology, Second University of Naples, Via Vivaldi 43, 81100 Caserta, Italy
article info
Article history:
Available online 24 July 2008
Keywords:
Egocentric/allocentric representations
Large-scale environment
Gender differences
Familiarity
abstract
This paper reports a study of how familiarity and gender may influence the frames of reference used in
memory to represent a real-world regularly shaped environment. Familiar and unfamiliar participants
learned the locations of three triads of buildings by walking on a path which encircled each triad. Then
they were shown with maps reproducing these triads at five different orientations (from 0
to 180
) and
had to judge whether each triad represented correctly the relative positions between the buildings.
Results showed that unfamiliar participants performed better when the orientation of triads was closer
to the learning perspective (0
and 45
) and corresponded to front rather than to back positions. Instead,
familiar participants showed a facilitation for triads oriented along orthogonal axes (0
–180
,90
) and no
difference between front and back positions. These findings suggested that locations of unfamiliar
buildings were mentally represented in terms of egocentric frames of reference; instead, allocentric
frames of reference defined by the environment were used when the environment was familiar. Finally,
males were more accurate and faster than females, and this difference was particularly evident in
participants unfamiliar with the environment.
Ó2008 Elsevier Ltd. All rights reserved.
1. Introduction
Humans use two fundamental classes of frames of reference to
represent spatial information: egocentric and allocentric (e.g.
Kosslyn, 1994; Marr, 1982; O’Keefe & Nadel, 1978; Paillard,1991), as
originally proposed by Piaget and Inhelder (1967). Egocentric
frames of reference are determined by the position of the viewer in
space and egocentric spatial representations maintain the viewing
perspective. Consequently, later access to stored spatial informa-
tion depends on how it has been coded in relation to the body
position. These representations are often defined as orientation-
specific or orientation-dependent (Roskos-Ewoldsen, McNamara,
Carr, & Shelton, 1998; Waller, Montello, Richardson, & Hegarty,
2002). Alternatively, frames of reference may be independent of the
viewer’s position and centered on external elements such as
objects and features of the environment (McNamara, Rump, &
Werner, 2003; Mou & McNamara, 2002; Shelton & McNamara,
2001). Stored spatial information in this latter case is not affected
by the egocentric perspective in which it was originally acquired.
For this reason, allocentric spatial representations are often called
orientation-independent or orientation-free (e.g. Rieser, 1989;
Roskos-Ewoldsen et al., 1998; Waller et al., 2002).
When an egocentric representation is formed, it is easier to
retrieve spatial information from experienced perspectives than
from new perspectives, and processes of mental rotation are
presumably needed to compare these perspectives (Boer, 1991;
Easton & Sholl, 1995; Hintzman, O’Dell, & Arndt, 1981; Huttenlocher
& Presson, 1973; Iachini & Logie, 2003; Rieser, 1989; Roskos-
Ewoldsen et al., 1998). Instead, if stored spatial information is
organized allocentrically, then later access is less sensitive to the
discrepancy between the old and the new perspectives (e.g. Rieser,
1989) and is facilitated from perspectives aligned with environ-
mental axes (see McNamara et al., 2003).
In the literature about spatial memory many studies have
investigated which factors lead spatial information to be stored in
egocentric or allocentric ways. In their pivotal study, Evans and
Pezdek (1980) compared participants who were familiar or
unfamiliar with the University campus of San Bernardino. They
examined spatial knowledge about buildings of the campus and
U.S.A. states to see whether they were processed similarly to the
visual stimuli typically used in mental rotation studies (e.g. Shepard
& Metzler, 1971). Unfamiliar participants learned the environment
through a map, whereas familiar participants relied on their long-
term experience with the environment. All participants were pre-
sented with maps reproducing triads of locations and had to judge
whether each triad represented correctly the reciprocal relations
between the locations. The triads were rotated of various degrees,
from 0 to 180. Evans and Pezdek (1980) found orientation effects
only for states, but not for familiar buildings. However, when
*Corresponding author. Tel.: þ39 0823 274789; fax: þ39 0823 323000.
E-mail address: santa.iachini@unina2.it (T. Iachini).
Contents lists available at ScienceDirect
Journal of Environmental Psychology
journal homepage: www.elsevier.com/locate/jep
0272-4944/$ see front matter Ó2008 Elsevier Ltd. All rights reserved.
doi:10.1016/j.jenvp.2008.07.001
Journal of Environmental Psychology 29 (2009) 227–234
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buildings were unfamiliar, orientation effects occurred again. These
results suggested that learning spatial relationships from maps
produces orientation-dependent representations. On the contrary,
when spatial information is achieved directly from the real envi-
ronment, we experience this environment from several viewpoints
which may result in orientation-independent representations.
However, the authors recognized that it was difficult to disentangle
whether familiarity per se or way of learning spatial information
produced the pattern of results.
Following Evans and Pezdek (1980), several studies have
compared more closely maps and navigable spaces. Presson and
Hazelrigg (1984) focused on primary learning, that is locomotor
and/or visual exploration of the environment, and on secondary
learning, that is achievement of spatial information by means of
maps. They found orientation effects after learning a map but not
a path. In a subsequent research, Presson, DeLange, and Hazelrigg
(1987) found that when participants experienced only one
orientation while walking blindfolded, the derived spatial
representation was orientation-specific; on the contrary, when
they experienced multiple orientations, it was orientation-free. The
same authors (Presson, DeLange, & Hazelrigg, 1989) also examined
the size of space and found orientation effects only after learning
small maps and short paths but not large maps and long paths.
Overall, these early findings would indicate that mental spatial
representations of navigable spaces, even within the size of a room,
are represented according to allocentric frames of reference.
However, subsequent evidence has shown that egocentric frames of
reference may also be used (Christou & Bu
¨lthoff, 1999; Diwadkar &
McNamara, 1997; Easton & Sholl, 1995; Richardson, Montello, &
Hegarty, 1999; Roskos-Ewoldsen et al., 1998; Shelton & McNamara,
1997, 2001; Sholl & Nolin,1997; Waller et al., 2002). In particular, an
allocentric coding would be favored when individuals are aware of
the relationship between their body and the surrounding envi-
ronment (Roskos-Ewoldsen et al., 1998; Waller et al., 2002) and
when the spatial array is regular (Easton & Sholl, 1995).
In sum, it is not yet clear whether navigable spaces learned by
direct exploration are represented on the basis of egocentric or
allocentric frames of reference. Furthermore, the laboratory-based
studies reproduced in a simplified way what usually happens in
ecological contexts. The typical experimental setting consisted of
three segments forming four-point paths (maximum extent
44 m, see for example Presson et al., 1989; Roskos-Ewoldsen
et al., 1998) or of six objects (e.g. Rieser, 1989). The experimental
situations were often static or participants were only permitted
a restricted range of movements. This lack of ecological validity
leads us to take with caution the generalization of results from
room-sized settings to real and complex environments (Siegel,
Kirasic, & Kail, 1979). Accordingly, little is known about the role of
egocentric and allocentric frames of reference in learning and
remembering large-scale outdoor environments.
One factor which has not received sufficient attention in
previous studies is that spatial representations of the environment
may change as a result of experience. With increasing familiarity,
knowledge of the environment becomes more detailed, accurate
and integrated, that is more map-like (Bryant, 1982; Golledge &
Spector, 1978; Hart & Moore, 1973). Hart and Moore (1973) dis-
cussed the progression from egocentric to allocentric frames of
reference, from landmark to route and survey types of represen-
tation. On this basis, Siegel and White (1975) proposed a model of
development of spatial knowledge which develops along three
stages: landmark, route and survey. A landmark representation is
based on the visual salience or the subjective importance of land-
marks, without knowing their relative spatial relations. A route
representation is based on the knowledge of the routes connecting
landmarks, in their sequential order. It embodies the spatial rela-
tions between locations as seen from a first-person egocentric
perspective. A survey representation is a global, integrated,
complete and map-like representation of the environment. It
implies the knowledge of the relative positions and distances
between places regardless of the person’s position, thus allowing
for flexible behaviors. This model has been extended to the
development by adults of knowledge of the environment. Just as
achild, the adult would progress through the same three stages as
knowledge of the environment improves (Golledge, Smith,
Pellegrino, Doherty, & Marshall, 1985).
Several studies with adults give support to this view, but others
have highlighted that in natural settings different types of spatial
knowledge may be acquired (see also Lindberg & Ga
¨rling, 1982;
McDonald & Pellegrino, 1993). For example, Moeser (1988) found
that student nurses who had worked for two years in a complex
and irregularly shaped building had poor configurational knowl-
edge of this building. Instead, Ga
¨rling and colleagues (Ga
¨rling,
Lindberg, Carreiras, & Bo
¨o
¨k, 1986) reported that the presence of
a regular street greed favored the acquisition of the allocentric
spatial relations between places in the city of Umeå, Sweden. The
features of the environment, then, can make a difference. However,
even within the same environment large individual differences in
spatial knowledge may emerge (e.g. Hirtle & Hudson, 1991;
Kozlowski & Bryant,1977; Montello & Pick, 1993), and those due to
gender are among the most important (e.g. Lawton,1996; Montello,
Lovelace, Golledge, & Self, 1999; Schmitz, 1999). These consider-
ations imply that both the characteristics of the environment, such
as the degree of regularity, and the characteristics of individuals,
such as familiarity and gender, should be taken into account. In this
research we tried to study complementarily these factors and their
reciprocal interactions.
1.1. Spatial representations and familiarity with the environment
Thorndyke and Hayes-Roth (1982) compared familiar partici-
pants who had learned the layout of a building from direct explo-
ration and unfamiliar participants who learned the same layout
from a map. The unfamiliar group was worse in pointing to
locations within the building from different positions than the
familiar group but was equally accurate in estimating straight-line
and route distances, whereas the familiar group was better at
estimating route than straight-line distances. The results were
interpreted as evidence that spatial representations become more
allocentric with increasing experience.
In Iachini and Logie (2003) participants had to learn the
locations of several buildings in an unfamiliar environment, the
University campus of Aberdeen (Scotland), by walking on paths
around these buildings. Then, they had to recognize their
positions on a three-dimensional map by observing each building
from different perspectives set at viewpoints between 0
and
180
from a starting position. The results showed a clear effect of
the angular discrepancy between the original and the new
perspectives, and thus suggested that the spatial representation
was egocentric.
Still two experiments compared performances of participants
with different degrees of familiarity with a University campus on
a distance (Foley & Cohen, 1984) and a distance and direction
(Kirasic, Allen, & Siegel, 1984) estimation task. Students who had at
least one year of experience with their University campus revealed
a more abstract and flexible spatial map than students who were
less familiar (Kirasic et al., 1984). Similarly, Foley and Cohen (1984)
showed that first year students used a perspective-dependent
strategy and were less accurate in distance estimates with respect
to fourth year students who instead used a more abstract and map-
like representation.
Furthermore, Prestopnik and Roskos-Ewoldsen (2000) showed
that participants who reported to be more familiar with an
T. Iachini et al. / Journal of Environmental Psychology 29 (2009) 227–234228
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environment were more accurate on a mental wayfinding task than
those who were less familiar.
These results, as well as the finding that students familiar with
the campus did not show orientation effects (Evans & Pezdek,
1980), could be interpreted as consistent with the developmental
model. However, some studies have shown that the regularity and
the geometry of outdoor environments may influence the accessi-
bility of stored views of that environment.
Werner and Schmidt (1999) asked student residents of Go
¨ttin-
gen (Germany) to imagine themselves at the intersection of two
major streets, facing in various directions, and then to identify
landmarks in cued directions. Landmarks in front of the partici-
pants’ imagined headings were identified faster and more accu-
rately than those behind. This facilitating effect also occurred when
the imagined heading was parallel to one of the major streets.
These results suggested that participants used both allocentric
reference frames, based on salient environmental characteristics,
and egocentric reference frames to represent their familiar
environment.
McNamara and colleagues (2003) asked participants to learn the
locations of eight objects in an unfamiliar city park by walking
along paths that encircled the Parthenon, a replica of the Parthenon
in Athens, Greece. The paths could be either aligned or misaligned
with the Parthenon. After the learning phase, participants had to
point to target objects from several imagined vantage points and
perspectives. The results showed that errors and latency increased
with departure from the original learning perspective, and that
some positions were facilitated: those aligned with the 0
–180
and 90
–270
axes, corresponding to the legs of the path aligned
with the Parthenon. These results indicated that the environment
was represented by means of geocentric (i.e. allocentric) frames of
reference anchored on salient environmental axes but selected on
the basis of egocentric experience.
1.2. Gender differences in spatial cognition
The majority of studies about gender differences have involved
paper-and-pencil spatial tasks. Extensive meta-analyses have
shown that on average males perform better than females in some
spatial tasks, especially those involving mental rotation processes
(Linn & Petersen, 1985; Voyer, Voyer, & Bryden, 1995).
Studies settled in ecological contexts or about knowledge of
real-life environments are less frequent (e.g. Lawton, Charleston, &
Zieles, 1996; Montello et al., 1999; Prestopnik & Roskos-Ewoldsen,
2000; Schmitz, 1999). In most cases, only small differences between
males and females on their knowledge of distances and directions
between familiar places were found (e.g. Ga
¨rling, Bo
¨o
¨k, & Ergezen,
1982; Kirasic et al.,1984; Kitchin, 1996). However, females reported
more landmarks and fewer routes than males in drawing maps of
a familiar campus (McGuinness & Sparks, 1983).
A more apparent male advantage emerges in studies about
unfamiliar environments, particularly when learned bylocomotion.
Female participants were less accurate than male participants in
pointing to landmarks (Bryant, 1982; Holding & Holding, 1989;
Lawton, 1996) and to the starting point of a route (Lawton et al.,
1996; Montello et al.,1999; Silverman et al., 2000). However, some
studies did not find differences in pointing (Golledge, Ruggles,
Pellegrino, & Gale, 1993; Montello & Pick, 1993; Sadalla & Montello,
1989) or in distance accuracy between landmarks (Kirasic et al.,
1984; Postma, Jager, Kessels, Koppenshaar, & van Honk, 2004)orin
both (Golledge, Dougherty, & Bell, 1995).
Galea and Kimura (1993) found a female advantage in the recall
of landmarks learned from a fictitious city map, whereas males
were better in the assessment of the straight-line directions
between landmarks. Consistently, males reported that they pref-
erably rely on cardinal directions and metric estimates, while
females prefer landmark-based information (Dabbs, Chang, Strong,
& Milun, 1998; Freundschuh, Mark, Gopal, Gould, & Couclelis, 1990;
Lawton, 1994, 1996; Miller & Santoni, 1986; Ward, Newcombe, &
Overton, 1986).
A study by Silverman and colleagues (2000) suggests an inter-
esting link between wayfinding ability and mental rotation. After
learning a path in a real wooded area, participants had to point
arrows to the starting position and to reproduce the shortest way
from the ending to the starting position. Males were significantly
more accurate in both tasks and this wayfinding ability correlated
positively with mental rotation. According to the authors, both
abilities would be enabled by the capacity to maintain a unified
mental representation of space, that is a survey view of space. A
significant correlation between mental rotation and perspective-
taking ability has been also reported by Pazzaglia and De Beni
(2006).
It has often been suggested in the literature that gender differ-
ences are, at least partially, due to a preference for using different
spatial strategies along the ‘‘route vs survey’’ dimension (e.g.
Iachini, Sergi, Ruggiero, & Gnisci, 2005; Lawton, 1994, 1996;
Montello et al., 1999; Prestopnik & Roskos-Ewoldsen, 2000;
Schmitz, 1999; but see Brown, Lahar, & Mosley, 1998). Females
would rely more on a route strategy based on landmarks and on
left–right turns, whereas males would prefer a survey strategy
based on the geometric configuration of the whole environment
with embedded directions and distances (e.g. Lawton, 1994, 1996;
Montello et al., 1999; Prestopnik & Roskos-Ewoldsen, 2000;
Schmitz, 1999).
1.3. Overview of the research
In this research we want to verify whether the mental spatial
representation of a large-scale outdoor environment becomes more
allocentric as aresult of extensive experience, in line with the
developmental model (Siegel & White, 1975). Bearing in mind how
important the features of the environment are, we chose a regular
environment characterized by two main streets forming a T-
junction. This should favor the selection of allocentric frames of
reference (McNamara et al., 2003; Werner & Schmidt, 1999).
However, the possible preference for route strategies in females
and survey strategies in males could interact with the other factors
and lead to a male advantage (Bryant,1982; Lawton,1996; Montello
et al., 1999).
The setting of the experiment was a wide pedestrian area
comprising 11 buildings, called area F, in the administrative district
of the city of Naples (Italy). We aimed at replicating the experiment
carried out by Evans and Pezdek (1980) who compared directly
participants who were familiar and unfamiliar with the same
setting. Our familiar group comprised people who had worked in
area F at least for one year and therefore had an extensive experi-
ence with the environment. Unfamiliar participants had never been
there before the experiment. In order to avoid the confounding
between the way of learning spatial information and the degree of
familiarity that made it difficult to interpret the results in Evans and
Pezdek (1980), unfamiliar participants had to experience the
environment by visual locomotion. As a further control to avoid the
possibility of spurious factors due to procedural differences,
familiar participants were submitted to the same learning proce-
dure. Finally, all participants had to judge whether the relative
spatial positions between the buildings of each triad presented on
maps were accurate. The triads could be rotated of various degrees
from 0 to 180. This was broadly the procedure adopted by Evans
and Pezdek (1980).
If increasing experience with the environment leads to a tran-
sition from an egocentric to a more allocentric representation, then
different patterns of errors and latency in familiar and unfamiliar
T. Iachini et al. / Journal of Environmental Psychology 29 (2009) 227–234 229
Author's personal copy
groups should emerge and this should be verified by a significant
interaction between familiarity and rotation degrees. Further, we
expected a better performance in males than females. However, it is
also possible that gender differences are more evident in unfamiliar
than familiar groups.
2. Method
2.1. Participants
Thirty-four participants took part in the experiment: 17 familiar
(8 males and 9 females), whose age ranged from 21 to 32 years,
mean ¼26.64, SD ¼3.38, and 17 unfamiliar (8 males and 9
females), whose age ranged from 21 to 32 years, mean ¼24.41,
SD ¼2.89. Familiar participants worked in several buildings of area
F and were recruited through the intervention of the office of Public
Relations of the Council of Naples. They all accepted to take part in
the experiment on a voluntary basis. Eleven participants out of 17
worked for a call center placed at the 17th floor of building F2, from
five to seven days a week. From their office they could see all the
buildings and the two main streets of the area. The layout of area F
is shown in Fig. 1. Three participants worked as secretaries at
building F6, 5th floor, a five-day week. One participant attended
a two-year master course at building F12, 5th floor, a three-day
week. Finally, there were two waiters who worked at building F11,
10th floor, a six-day week. All familiar participants had worked in
the selected area from 1 to 5 years before testing, mean ¼2.76,
SD ¼1.11. Further, they all crossed the two main streets every day to
reach their workplace and to go out for lunch. Unfamiliar partici-
pants had never been in area F before the experiment. They were
undergraduate students recruited from the Second University of
Naples and members of the general public who volunteered to
participate in the experiment.
2.2. Experimental setting and materials
The main buildings of area F were depicted on a two-
dimensional, black and white map shown in Fig. 1. The adminis-
trative district comprises buildings of different heights (from 5 to
28 floors) grouped in seven areas labeled with letters from A to G.
Each area is separated from the others by streets or gardens and
each building within those areas has a label with the proper letter
and number. On the basis of the map, area F was chosen as setting
for the experiment. This area has a surface of 26.57 m
2
and
comprises 11 buildings. It has a rectangular shape and is charac-
terized by two salient main streets forming a T-junction. Within
this area nine buildings were selected as stimuli on the basis of the
following criteria: they could be circumnavigated without prob-
lems, could form triads of buildings that were all visible from the
same vantage point and allowed participants to follow paths of
homogeneous length around each triad (about 250 m). The nine
buildings (called F1, F2, F5, F6, F7, F8, F11, F12, F13) were combined
in such a way as to produce three triads: triad A ¼F7–F8–F12, triad
B¼F5–F6–F11, triad C ¼F1–F13–F2. Around each triad, one starting
position and one arrival position were marked first on the map and
then in the real environment by marking a black dot on the ground.
The arrival position allowed participants to see the three buildings
at the same time. The path connecting the two positions and cir-
cumnavigating each triad of buildings was first highlighted on the
map and then reproduced in the environment. All the buildings
were located in a pedestrian-only area, far from continuous traffic
noise. The entire setting is shown in Fig. 1.
Relying on the basic map shown in Fig. 1, 30 test maps were
obtained, 10 per each triad. Each of these test maps depicted a triad
of buildings with the proper label clearly visible and any other
information was removed. An example of these maps is shown in
Fig. 2. The size of the maps was 29.7 21.1 cm. They were black and
white, two-dimensional scaled maps with a 1:1000 ratio with the
environment. Each triad was shown in its original orientation (0
)
Fig. 1. The two-dimensional map of area F of the administrative district of the city of
Naples is shown. The triads of buildings are colored with three different grey tonalities.
The black line circumscribing three buildings (F5, F6, F11) gives an example of the path
taken during the learning phase. S ¼starting positi on; A ¼arrival position; T ¼testing
position. The two main streets are highlighted.
Fig. 2. Example of the test maps used for the experiment. The maps on the left show
a triad of buildings (F7, F8, F12) in their correct spatial relations while on the right they
are incorrect. These maps are shown as non-rotated (0) and rotated by 90.
T. Iachini et al. / Journal of Environmental Psychology 29 (2009) 227–234230
Author's personal copy
or could be rotated by 45
,90
,135
and 180
. Further, each triad
was presented either by preserving the actual relative positions
between the buildings (five correct triads) or by altering their
positions (five incorrect triads). Each angular rotation was matched
with all correct and incorrect triads thus obtaining a total of 30 test
maps.
Within an area far from area F, called area G, three more
buildings (G6, G7 and G8) were selected and 10 practice maps
representing these buildings were created for the purpose of
a practice session.
2.3. Procedure
Participants were led to area G of the Administration Center.
Here they read written instructions about the task, which were
then revised orally by the experimenter. Afterwards, a training
session started. Participants had to learn the names and the posi-
tions of three buildings (G6, G7 and G8) located along a route and
subsequently they were shown with 10 maps depicting those
buildings. They had to judge whether each map represented
correctly the relative spatial positions between the three buildings
independently of any other information. If the entire procedure was
clear, participants were blindfolded and conducted to area F where
the experimental session started.
2.3.1. Learning phase
Participants were instructed to memorize as accurately as
possible the names and the locations of buildings that they
encountered as they were guided along the route by the experi-
menter. However, when moving in real environments a wide range
of information is present, for example distinctive architectural
features or colors and patterns and so forth. We attempted to
ensure that performance in the experiment was restricted to the
spatial information about the triads and not on additional contex-
tual information. Specifically, the experimenter emphasized that
participants had to focus on the buildings and their locations as
they were encountered but that they did not need to memorize
other features of the area. Further, participants were blindfolded
before entering area F and when led from one triad to another. Once
arrived at the starting position of each triad, the experimenter
removed the participant’s blindfold and named the first building.
Participants were given 6 s to observe the building and then were
conducted to the next building that was named and observed for
6 s. The procedure was repeated for the third building. After
walking twice the path, participants were led to the arrival position
where they had to observe the three buildings altogether for 20 s.
Afterwards, they were blindfolded and there was a memory check:
they had to name the buildings in their order of occurrence (for
a similar procedure see McNamara et al., 2003). If the memoriza-
tion was accurate, the participant was conducted to the starting
position of the next triad; if not, the learning procedure was
repeated once more. The order of presentation of the triads was
counterbalanced among participants. The learning phase lasted
approximately 30 min.
2.3.2. Testing phase
After the learning phase, participants were blindfolded and
were conducted to a testing position far from area F where the
learned triads could not be seen (this position is shown in Fig. 1).
The testing position corresponded to a low wall (height 1.10 m) and
was the same for all trials. After removing the blindfold, the
experimenter presented each participant with the test maps, one at
a time, for a total of 30 trials. Following a latin square design, all the
different angular sizes (0
,45
,90
,135
and 180
), the triads of
buildings (‘‘A’’ correct and incorrect, ‘‘B’’ correct and incorrect and
‘‘C’’ correct and incorrect) and their order of presentation were
counterbalanced among participants. For each participant, the
maps in their assigned order were arranged and held by a ring
binder. The ring binder was placed on the wall, above a black dot
marked on the ground. Participants stood in front of the ring binder,
with area F behind (see Fig. 1) and the experimenter, standing
beside them, showed the maps. The task was to determine whether
the maps correctly represented the relative spatial positions
between the three buildings, i.e. whether they reproduced the
relative spatial relationships as they were in the real world. Accu-
racy and latency measured the performance. Correct judgments
were scored 1, incorrect 0. Latency was recorded by the experi-
menter via a stopwatch from when participants saw the map until
they gave their judgment. The testing phase was completed in
about 5 min.
3. Results
Analyses were based on 3-way ANOVA for mixed designs with
familiarity (familiar vs unfamiliar) and gender as between-subjects
variables, and rotation degrees (0
,45
,90
,135
,180
) as within-
subjects variable. As dependent variables there were accuracy (that
is mean of correct judgments) and response time (that is mean
latency of correct judgments). The Tukey HSD test was used to
analyze post hoc effects. Effect sizes were also calculated and
expressed by the
h
2
index.
3.1. Accuracy
The ANOVA revealed a main effect of familiarity: F(1,28) ¼6.35,
h
2
¼.18, p¼.017, due to familiar participants (mean ¼.85, SD ¼.19)
being more accurate than unfamiliar ones (mean ¼.74, SD ¼.19). A
main effect of rotational angles also emerged: F(4,112) ¼3.99,
h
2
¼.12, p¼.004. The post hoc test showed that 0
(mean ¼.88)
was more accurate than all 45
,90
and 135
(with at least p<.05).
A significant interaction between familiarity and rotational angles
was found: F(4,112) ¼3.03,
h
2
¼.10, p¼.02. The two groups showed
a different trend: familiar participants were more accurate at 0
,
90
and 180
, whereas in unfamiliar participants accuracy
decreased as much as angular size deviated from 0
(see Fig. 3). The
post hoc analysis showed that this interaction was due to the spatial
judgments for maps rotated by 0
in familiar participants being
more accurate than maps rotated by 90
,135
and 180
in unfa-
miliar participants; further 90
and 180
in familiar participants
45° 90° 135° 180°
ROTATIONAL ANGLES
(
de
g
rees
)
0.55
0.60
0.65
0.70
0.75
0.80
0.85
0.90
0.95
1.00
1.05
ACCURACY (0-1)
FAMILIAR GROUP
UNFAMILIAR GROUP
Fig. 3. Mean of correct judgments of the relative spatial positions between buildings
as a function of rotational angles.
T. Iachini et al. / Journal of Environmental Psychology 29 (2009) 227–234 231
Author's personal copy
were more accurate than 135
in unfamiliar participants (with at
least p<.05). Finally, in familiar participants 0
was significantly
more accurate than 45
, whereas in unfamiliar participants 0
was
more accurate than 90
and 135
(with at least p<.05).
A significant main effect of gender was found: F(1,28) ¼4.33,
h
2
¼.14, p¼.04. This was due to males being more accurate than
females: males ¼.84, SD ¼.15; females ¼.75, SD ¼.18. There was no
significant interaction between gender and familiarity, although
unfamiliar females were less accurate than all other groups: F(1,
28) ¼2.84,
h
2
¼.09, p¼.10. The related means were: familiar,
males ¼.85, SD ¼.14, females ¼.84, SD ¼.14; unfamiliar,
males ¼.82, SD ¼.17, females ¼.63, SD ¼.22. Finally, there was
neither interaction between gender and rotational angles (F<1),
nor 3-way interaction: F(4,112) ¼1.3,
h
2
¼.01, p¼.27.
To test directly the hypothesis that the data were influenced by
an egocentric organization, we compared front and back orienta-
tions. We computed the mean accuracy and latency by collapsing
across 0
and 45
orientations (front) and 135
and 180
orienta-
tions (back), similarly to Werner and Schmidt (1999). The new
factor ‘‘front-back’’ was analyzed by means of a 3-way ANOVA for
mixed designs with familiarity and gender as between variables
and front–back as within variable. In line with previous results, the
ANOVA revealed main effects of familiarity (F(1,29) ¼8.74,
h
2
¼.23,
p¼.006) and gender (F(1,29) ¼9.43,
h
2
¼.24, p¼.004). Further,
front orientations were significantly more accurate than back
orientations: F(1,29) ¼6.44,
h
2
¼.18, p¼.01. However, the front/
back factor interacted with familiarity: F(1,29) ¼4.22,
h
2
¼.13,
p¼.04. The post hoc analysis showed that the interaction was due
to unfamiliar participants performing worse in judging back than
front orientations (p<.01) and worse than familiar participants in
both front and back orientations (with at least p<.05). Instead,
familiar participants were equally good for front and back orien-
tations. The related means were: unfamiliar, front¼.77, SD ¼.20,
back ¼.66, SD ¼.18; familiar, front ¼.84, SD ¼.11, back ¼.83;
SD ¼.12. Finally, a significant interaction between gender and
familiarity emerged: F(1,29) ¼6.61,
h
2
¼.19, p¼.01. The post hoc
analysis showed that it was due to unfamiliar females performing
worse than all other groups (with at least p<.002). More specifi-
cally, there was no gender difference when participants were
familiar, whereas there was a clear male advantage when the
environment was unfamiliar. The related means were: unfamiliar,
males ¼.83, SD ¼.13, females ¼.60, SD ¼.14; familiar, males ¼.85,
SD ¼.13, females ¼.83, SD ¼.11.
3.2. Latency
The ANOVA showed a main effect of familiarity: F(1,25) ¼16.78,
h
2
¼.40, p¼.006. This was due to unfamiliar participants
(mean ¼4.60, SD ¼2.23) being slower than familiar ones
(mean ¼3.27, SD ¼1.37). Females were significantly slower than
males: F(1,25) ¼6.50,
h
2
¼.21, p¼.01. The related means were:
males ¼3.9, SD ¼1.62; females ¼4.4, SD ¼2.15. There was no
significant main effect of rotational angles (F<1). Instead, a signif-
icant interaction between familiarity and rotational angles
emerged: F(4,100) ¼2.57,
h
2
¼.10, p¼.04. As it is illustrated in
Fig. 4, familiar participants were faster at 0
,90
and 180
, exactly
in line with what found in accuracy. On the contrary, unfamiliar
participants were faster at 45
and 135
. The post hoc analysis
showed that the interaction was due to familiar participants being
faster at 0
than unfamiliar participants at 90
,135
and 180
(with
at least p<.05). Further, familiar participants were faster at 180
than unfamiliar participants at 90
. Overall, this pattern of results
confirms the facilitating effect of the 0
/180
and 90
axes in
familiar participants.
As regards gender, a main effect emerged which was due to
males (mean ¼3.52, SD ¼1.70) being faster than females
(mean ¼4.35, SD ¼2.13): F(1,25) ¼6.49,
h
2
¼.21, p¼.02. The
interaction between familiarity and gender approached statistical
significance: F(1,25) ¼3.71,
h
2
¼.13, p¼.06. Unfamiliar females
were slowest than all other groups: unfamiliar, males ¼4.1,
SD ¼1.7, females ¼5.4, SD ¼2.4; familiar, males ¼3.7, SD ¼1.4;
females ¼3.4, SD ¼1.3. Finally, we compared latencies for front and
back orientations. A main effect of familiarity emerged:
F(1,30) ¼8.29,
h
2
¼.22, p¼.007, but neither of gender
F(1,30) ¼2.18,
h
2
¼.07, p¼.15 nor of front/back orientations (F<1).
The interaction between gender and familiarity approached
statistical significance: F(1,30) ¼3.30,
h
2
¼.10, p¼.07. Again,
unfamiliar females were slowest than all other groups.
4. Discussion
In this research we aimed at investigating which frames of
reference, egocentric or allocentric, are used in learning and
remembering large-scale outdoor environments. The rationale
behind the research was that both the characteristics of the envi-
ronment, such as the degree of regularity, and the characteristics of
individuals, such as familiarity and gender, could influence the
selection of the frames of reference. In doing so, we also assessed
whether with increasing familiarity there is a progression from
egocentric to allocentric spatial representations, as suggested by
the developmental model proposed by Siegel and White (1975).
The rigid version of this model would predict a linear progression
whose final end is a configurational, allocentric representation. This
version is challenged by both internal (i.e. individual) and external
(i.e. features of the environment) factors (see McDonald &
Pellegrino, 1993).
The important role of the physical structure of the environment
is highlighted in the theoretical model proposed by McNamara and
collaborators (e.g. McNamara et al., 2003; Mou & McNamara, 2002;
Shelton & McNamara, 2001). According to this theory, learning an
unfamiliar environment implies interpreting its spatial structure in
terms of frames of reference. These frames of reference are selected
on the basis of various cues, such as egocentric experience and
properties of the environment itself. The reference system that is
selected determines the encoding and then the memory of the
environment. This theoretical framework was consistent with the
results obtained in a large-scale unfamiliar environment charac-
terized by a salient building (McNamara et al., 2003). Specifically,
the authors found a facilitation for pointing to positions aligned or
orthogonal with the salient environmental axis, corresponding to
the 0
/180
and 90
/270
orientations. However, this effect
45° 90° 135° 180°
ROTATIONAL ANGLES
(
de
g
rees
)
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
5.5
6.0
6.5
LATENCY (SEC)
FAMILIAR GROUP
UNFAMILIAR GROUP
Fig. 4. Mean latency of correct judgments of the relative spatial positions between
buildings as a function of rotational angles.
T. Iachini et al. / Journal of Environmental Psychology 29 (2009) 227–234232
Author's personal copy
occurred in the learning condition (aligned path) that allowed to
experience the salience of the axis. Therefore, this model would
suggest that allocentric properties can be encoded even if the
environment is unfamiliar but highly regular and salient.
We now analyze our results in relation to the two models. The
results showed that the familiar group was faster and more accu-
rate than the unfamiliar group, and males were faster and more
accurate than females. It was also striking that there was a clear
impact of familiarity on the angle of orientation change, as revealed
by the significant interaction. Familiar participants performed
better at 0
,90
and 180
, whereas unfamiliar ones were better to
judge triads that maintained the original learning perspective (0
)
or were rotated by a little amount (45
). Consistently, unfamiliar
participants were better to judge triads corresponding to front
orientations than triads oriented towards the back, whereas no
advantage for front orientations was found in familiar participants
in comparison with back orientations. Further, there was no gender
difference in front/back orientations when participants were
familiar, whereas a male advantage emerged when they were
unfamiliar.
The finding that in unfamiliar participants the spatial perfor-
mance decreased with the angular discrepancy between the orig-
inal and the new orientations, together with the facilitation in
judging front orientations (0
–45
), is a clear index of an egocentric,
body-centered retrieval of spatial information. This result is in line
with previous studies about unfamiliar environments (Evans &
Pezdek, 1980; Iachini & Logie, 2003; Sholl, 1987; Thorndyke &
Hayes-Roth, 1982). Easton and Sholl (1995) also reported a facilita-
tion in indicating front than back positions of the Boston college
campus and this was interpreted as evidence of reliance on an
egocentric representation. Therefore, we should conclude that even
though the environment that served as setting for the experiment
was characterized by high geometrical salience, that was not
sufficient to facilitate the selection of allocentric frames of refer-
ence, as the McNamara’s theory would predict. However, according
to McNamara and colleagues (2003) what matters is how the
physical structure of the environment is experienced and inter-
preted. Since our unfamiliar participants had never been in the
selected area before the experiment and were blindfolded when
walking from one triad to another, they could not fully appreciate
the geometric salience afforded by the two streets. In other words,
it is possible that the learning procedure forced participants to
focus on the reciprocal spatial relations between the buildings to
the detriment of the whole configuration. In such a case, egocentric
frames of reference would be the dominant cues.
As regards familiar large-scale environments, the results in the
literature are still unclear as data in favor either of a view-
independent, allocentric representation (Evans & Pezdek, 1980;
Thorndyke & Hayes-Roth, 1982) or of an egocentric representation
(Easton & Sholl, 1995) or of both kinds of representations (Werner &
Schmidt, 1999) have been reported. Our results showed that
familiar participants were not facilitated when judging front
orientations as compared to back orientations. This would reveal an
underlying unified and integrated spatial representation that
makes it easy to retrieve spatial information from any point in
space, independently of the viewer’s position. From this point of
view, the results are in line with Evans and Pezdek (1980) and
suggest that familiar environments are represented allocentrically.
We wish now to emphasize that according to Evans and Pezdek it
was difficult to ascertain whether their results were due to the way
of learning spatial information or to familiarity per se, due to the
confounding between the two factors. This spurious factor was
controlled in our learning procedure as both familiar and unfa-
miliar participants experienced the environment by direct bodily
exploration. Therefore, our findings can be attributed with no
ambiguity to the amount of previous experience per se.
Familiar participants showed that they were more accurate and
faster for positions corresponding to 0
–180
and 90
. This finding
is clearly different from what found by Evans and Pezdek (1980) as
in their experiment the performance of familiar participants was
not affected by the orientation of test maps. However, we have to
consider that in Evans and Pezdek the locations within each triad
were represented on test maps by dots and verbal labels instead of
two-dimensional, geometrical shapes. Those maps, then, conveyed
spatial information in an abstract and verbal way and this could
have favored the use of a more abstract strategy to solve the task.
Further, we do not know the geometric characteristics of their
setting and the possible influence of regularity and salience cannot
be evaluated. Instead, we can infer that the regularity of our setting
facilitated the spatial judgments for maps rotated by 0
,180
and
90
because these orientations were aligned or orthogonal with
respect to the salient vertical street. The same argument might
explain why the performance was worse at 45
and 135
, corre-
sponding to orientations misaligned with the salient vertical street.
This pattern of results is closely similar to what found by McNamara
and colleagues (2003) in the condition where participants learned
the environment by walking along a path that was aligned with the
Parthenon. Therefore, we should conclude that when people can
fully experience the regularity and the salience of their familiar
environment, an allocentric representation is formed that is
anchored on environmental axes.
However, even within the same regular environment, we found
differences in spatial knowledge due to gender. Our task clearly
involved rotational processes. For this reason, it is not surprising
that a male advantage emerged, in line with previous literature
showing large and consistent effects of this type in tasks requiring
mental rotation and manipulation of visuo-spatial information
(Linn & Petersen, 1985; Voyer et al., 1995). Previous studies
comparing males and females on real-world spatial tasks have
shown that gender differences are minimal when environments are
familiar and much stronger when they are unfamiliar (see Montello
et al., 1999). Our results are consistent with this previous literature
as males performed better than females when the environment
was unfamiliar. Therefore, we did not find evidence supporting
a gender-related preference for route vs survey spatial strategies
which is independent of other individual characteristics (e.g.
Iachini et al., 2005; Lawton, 1994, 1996; Montello et al., 1999;
Prestopnik & Roskos-Ewoldsen, 2000; Schmitz, 1999). If such
a preference exists, it seems mainly concerned with the ways of
acquiring spatial information in unfamiliar environments.
However, more studies and different experimental procedures are
needed in order to assess to what extent gender-related prefer-
ences for spatial strategies may affect the spatial representation of
real-world environments.
In conclusion, the results suggest that when the environment is
familiar and is characterized by regular and salient environmental
axes, it is represented in an allocentric way. Instead, when it is
unfamiliar and the salience cannot be fully experienced, an
egocentric representation is preferably formed.
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T. Iachini et al. / Journal of Environmental Psychology 29 (2009) 227–234234
... Meanwhile, the use of the VR devices might also have influenced the route choice behavior of participants, in a way that they choose routes that are 'easier' to operate. Second, studies showed that when people are familiar with the environment, gender differences are minimal (Chen et al., 2018;Iachini et al., 2009;Nori et al., 2018;Tascón et al., 2021), which is our case that participants had a relatively high familiarity with the building. ...
... There has been much discussion about the influence of gender differences on wayfinding, our modeling results suggest that male and taller individuals have a higher locomotion speed in the virtual building. Similar findings are identified previously by literature (Chen et al., 2009;Iachini et al., 2009). It is important to note that in the current VR study, the physical capabilities of the participants do not guide their walking speed in the virtual environment. ...
... As students (i.e., MSc students) who are more familiar with the building have better wayfinding performance. The positive impact of familiarity is also recorded in the studies of Hölscher et al. (2007) and Iachini et al. (2009). The present study does not provide a clear indication of the negative effect of highly self-rated orientation ability on wayfinding performance. ...
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This paper proposes a comprehensive approach for modeling pedestrian wayfinding behavior in complex buildings. This study employs two types of discrete choice models (i.e., MNL and PSL) featuring pedestrian route choice behavior, and three multivariate linear regression (MLR) models featuring the overall wayfinding performance and observation behavior (e.g., hesitation behavior and head rotation). Behavioral and questionnaire data featuring pedestrian wayfinding behavior and personal information were collected using a Virtual Reality experiment. Four wayfinding tasks were designed to determine how personal, infrastructure, and route characteristics affect indoor pedestrian wayfinding behavior on three levels, including route choice, wayfinding performance, and observation behavior. We find that pedestrian route choice behavior is primarily influenced by route characteristics, whereas wayfinding performance is also influenced by personal characteristics. Observation behavior is mainly influenced by task complexity, personal characteristics, and local properties of the routes that offer route information. To the best of our knowledge, this work represents the first attempt to investigate the impact of the same comprehensive set of variables on various metrics feature wayfinding behavior simultaneously.
... To verify the unique contribution of spatial anxiety and place identity, we also considered the role played by the level of familiarity and self-reported sense of direction, which previous studies suggest being relevant to environmental knowledge performance (Burte & Montello, 2017;Epstein et al., 2007;Iachini et al., 2009;Piccardi et al., 2011). ...
... Our results are in line with the findings from several studies suggesting a pivotal role of familiarity with the environment in all kinds of environmental knowledge (e.g., Acredolo, 1982;Iachini et al., 2009;O'Neill, 1992;Piccardi et al., 2011;but see, for example, Harrell et al., 2000 for negative findings about the role of the familiarity) and the Environmental Knowledge Model proposed by Nori and Piccardi (2010). This model is based on the findings from a study in which participants, who had different degrees of familiarity with Bologna (Italy), were given landmark, route, and survey knowledge tasks about this city. ...
... As noted in the Environmental Knowledge Model [53], familiarity with the environment is the most important internal factor that is capable of attenuating or eliminating the spatial differences that likely affect driving behaviour. Several studies demonstrate that poor navigators with high environmental familiarity may also perform very complex navigational tasks [54][55][56]. Consequently, familiarity with the environment reduces the importance of the layout complexity [54]. The familiarity, indeed, impacts not only the environmental knowledge, as town knowledge, but also on the SOD (e.g., [53,57]). ...
... Several studies demonstrate that poor navigators with high environmental familiarity may also perform very complex navigational tasks [54][55][56]. Consequently, familiarity with the environment reduces the importance of the layout complexity [54]. The familiarity, indeed, impacts not only the environmental knowledge, as town knowledge, but also on the SOD (e.g., [53,57]). ...
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Many automotive industries are developing technologies to assist human drivers in suggesting wiser choices to improve drivers' behaviour. The technology that makes use of this modality is defined as a "digital nudge". An example of a digital nudge is the GPS that is installed on smartphones. Some studies have demonstrated that the use of GPS negatively affects environmental learning because of the transformation of some spatial skills. The main purpose of this study was to investigate the use of the GPS nudge and its relationship with spatial ability, together with its function in supporting the driving behaviour of non-expert drivers, in order to reduce the number of road crashes. A total of 88 non-expert drivers (M age = 21 years) filled in questionnaires and carried out tasks to measure spatial abilities, sense of direction, driver behaviour, and six different real-life driving scenarios. The results reveal that the higher the spatial skills are, the greater the GPS use is, and that drivers who use GPS improve their sense of direction. Moreover, people with high visuospatial abilities use GPS more extensively. Finally, young drivers do not consider the GPS aid to be useful when they have no time pressure. The results are discussed by taking into account the familiarity-and-spatial-ability model.
... When examining navigational abilities, differences have been seen between genders (Choi et al., 2006;Maeda and Yoon, 2013;Yuan et al., 2019;He et al., 2023). Iachini et al. (2009), for example, found that males demonstrate superior performance in orientation-based tasks, in both familiar and unfamiliar environments. Studies have also addressed differences between genders in relation to pointing accuracy and walking pacetwo important aspects of spatial ability and wayfinding performance. ...
... Indeed, a possible limitation of the present study is that participants viewed the route only once before performing the landmark position task. This single viewing might have been insufficient for some of them to form accurate survey knowledge since compared to other types of spatial knowledge, survey knowledge has been suggested to require more time and navigational experience inside an environment to be properly acquired (Iachini et al., 2009) or captured by the task used, considering the variability of individuals' ability to form survey knowledge. ...
Article
This study explores the impact of the interplay between the valence and arousal dimensions of landmarks on spatial memory. Participants were asked to watch a movie of a walk in a large urban virtual environment with landmarks that differed in terms of arousal and valence across conditions (high-arousal-positive; low-arousal-positive; high-arousal-negative; low-arousal-negative). Their route knowledge was assessed through a direction recall task, and their survey knowledge by asking them to plot the position of each landmark encountered during the route on a map. Results showed that the presence of positive landmarks benefited route knowledge, whereas high arousing ones impaired it. However, no clear effect of the landmarks’ valence and arousal was observed on survey knowledge. In addition to supporting some of the previous evidence while extending it to more complex and real-like environments, these new results call into question the relevance of the dimensional approach to emotions classically adopted in this type of studies.
... The results also show that repetition of the one-time weekly route for three consecutive weeks has an impact on familiarity (Marchette et al., 2011) (Iachini et al., 2009 which results in a decrease in the speed of the third travel time. Familiarity in this research is carried out in a real environment in line with the results of research familiarity in the virtual environment conducted by Dijkstra et al., (2014). ...
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The study attempted to determine the relationship between the different environmental learning types and the performance in wayfinding task. The types of learning environments were measured by the Walking Corsi test while the wayfinding task performance was measured by the travel time in finding the target location. The wayfinding task performance was measured three times. Eighty-nine (89) undergraduate students aged between 18-23 years were divided based on the types of learning environments into 3 groups, namely route learning type (31 students), map learning type (30 students) and verbal learning type (28 students). The mixed analysis of variance was used to analyze the data. The results showed that there were significant differences in the travel time to find the target location between three types of environmental learning groups F (3.6, 172) = 11.040; p<0.01). In the first occasion, the travel time of the map learning type group was faster than the route learning type group and the verbal learning type group. In the second occasion to track the target location, the travel time of the map learning type group was faster than route learning type group and the verbal learning type group. In the third occasion, the travel time of the map and verbal instruction learning type group were not different.
... The manner in which spatial knowledge develops with environmental familiarity has attracted much attention from researchers as they are closely related in nature (e.g., Harrell et al., 2000;Lin et al., 2019;Iachini et al., 2009). Environmental familiarity refers to how well people subjectively think they know built environments, as well as the amount of time they spend there (Lopez et al., 2021). ...
Article
The influence of environmental familiarity on spatial knowledge development in the context of campuses and their surrounding environments has been well documented. However, existing studies have rarely stressed the distinction between the architectural styles of a campus and its surrounding environment. This study thus targets a campus with a historical architectural style that contrasts strongly with the surrounding modern environment, to gain a fresh view on how spatial knowledge develops with environmental familiarity on such a unique campus. This study recruited 30 freshmen and 28 sophomores to complete landmark selection, route sketching, and distance estimation tasks used to measure their spatial knowledge. The results mainly revealed that spatial knowledge developed by freshmen and sophomores stayed at a similar level as no significant differences were detected. As such, the key implication of this study is that spatial knowledge could be developed to the largest cognitive extent within a short period (i.e., 1.5 months) after students have entered a new campus in which the architectural style contrasts strongly with its surrounding environment. Increased environmental familiarity did not significantly promote their spatial knowledge development as sophomores with about an added year of campus stay performed similarly to freshmen.
... Spatial cognition is very variable from one individual to another in a healthy population (Juan-Espinosa et al., 2000;Just and Carpenter, 1985;Maguire et al., 2003) and is influenced by several factors (Prestopnik and Roskos-Ewoldsen, 2000) such as gender (Iachini et al., 2009;Postma et al., 2004), anxiety (Lawton, 1994;Malinowski and Gillespie, 2001), cognitive style and strategies (Chen et al., 2009;Piccardi et al., 2011aPiccardi et al., , 2011b, and age (Allen et al., 2004). ...
Article
We report the clinical case of AB, a right-handed 19-year-old woman who presents severe developmental topographical disorientation, a relatively rare syndrome, leading to difficulties in navigating in familiar (and novel) environments. This symptomatology appears without acquired cerebral damage (MRI described as normal) nor more global cognitive disability (high degree of education achieved). An extensive assessment of spatial cognition with different aspects of underlying cognitive processes is first presented. Second, the patient's preserved cognitive abilities and her major difficulties in calculation, as well as her attention deficit, as seen in a detailed neuropsychological assessment, are reported. For the first time to our knowledge, we show that developmental topographical disorientation can be associated with other developmental cognitive disorders affecting number processing (dyscalculia) and attention (Attention Deficit-Hyperactivity Disorder (ADHD)). We discuss the links between these different cognitive processes in relation to visuo-spatial working memory and magnitude representation, which could represent common denominators for all these syndromes. This case report highlights the importance of thoroughly assessing potentially associated neurocognitive disorders in developmental topographical disorientation. In addition, it highlights the necessity to keep in mind the prevalence of spatial difficulties in the assessment of children and adolescents with other neurodevelopmental syndromes. Finally, this case study raises a new question about the nosology of developmental disorders affecting the visuo-spatial and spatial domains.
... However, the difference in performance between 0-and 90-degrees rotation, in which detection of the change was much easier, suggests that this cannot fully explain the difference in egocentric versus allocentric navigation. A preference for egocentric navigation is in line with findings in adults navigating through unfamiliar environments (e.g., [55]). ...
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The use of landmarks for navigation develops throughout childhood. Here, we examined the developmental trajectory of egocentric and allocentric navigation based on landmark information in an on-screen virtual environment in 39 5–6-year-olds, 43 7–8-year-olds, and 41 9–10-year-olds. We assessed both categorical performance, indicating the notion of location changes based on the landmarks, as well as metrical performance relating to the precision of the representation of the environment. We investigated whether age, sex, spatial working memory, verbal working memory, and verbal production of left and right contributed to the development of navigation skills. In egocentric navigation, Categorical performance was already above chance at 5 years of age and was positively related to visuo-spatial working memory and the production of left/right, whereas metrical performance was only related to age. Allocentric navigation started to develop between 5 and 8 years of age and was related to sex, with boys outperforming girls. Both boys and girls seemed to rely more on directional landmark information as compared to positional landmark information. To our knowledge, this study is the first to give insight into the relative contribution of different cognitive abilities to navigation skills in school-aged children.
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This article examines the degree to which knowledge about the body's orientation affects transformations in spatial memory and whether memories are accessed with a preferred orientation. Participants learned large paths from a single viewpoint and were later asked to make judgments of relative directions from imagined positions on the path. Experiments 1 and 2 contribute to the emerging consensus that memories for large layouts are orientation specific, suggesting that prior findings to the contrary may not have fully accounted for latencies. Experiments 2 and 3 show that knowledge of one's orientation can create a preferred direction in spatial memory that is different from the learned orientation. Results further suggest that spatial updating may not be as automatic as previously thought.
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Adults, ranging in age from 20 to 78 years, were required to give directions to a hypothetical stranger while looking at a map. The direction giving was scored according to the strategies employed by the direction giver (e.g., landmarks, relational turns, road names, and cardinality). The "map present" direction-giving paradigm was employed to reduce the influence of memory. The results suggest that the aging decline in spatial abilities does not influence direction-giving strategies when memory demands are minimal. Older adults are as proficient as young adults when employing direction-giving strategies. Middle-age females employed a significantly higher frequency of strategies relative to young males, young females, middle-age males, and older females. When accuracy was examined, gender-related differences favoring males were obtained for the relational strategy.
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Proposes models of the spatial knowledge people acquire from maps and navigation and the procedures required for spatial judgments using this knowledge. From a map people acquire survey knowledge encoding global spatial relations. This knowledge resides in memory in images that can be scanned and measured like a physical map. From navigation people acquire procedural knowledge of the routes connecting diverse locations. People combine mental simulation of travel through the environment and informal algebra to compute spatial judgments. An experiment in which subjects learned an environment from navigation or from a map evaluates predictions of these models. -from Selected Rand Abstracts
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In a study of sex differences in navigation strategy and geographic knowledge, 90 men and 104 women completed cognitive spatial tests, gave directions from local maps, and identified places on a world map. On the spatial tests, men were better than women in mental rotation skill, but men and women were similar in object location memory. In giving directions, men were more abstract and Euclidian, using miles and north–south– east–west terms, whereas women were more concrete and personal, using landmarks and left–right terms. Older subjects of both sexes gave more abstract Euclidian direc-tions than younger subjects did. On the world map, men identified more places than women did. The data fit a causal model in which sex predicts world map knowledge and the use of Euclidian directions, both directly and indirectly through a sex difference in spatial skills. The age effect, which was independent of sex, supports a developmental view of spatial cognition. © 1998 Elsevier Science Inc. his article begins with two findings about the spatial activities and skills of men and women. The first is that women use more landmarks than men do in navigating (Choi and Silverman 1997). The second is that men know more than women do about world geography (Liben 1995). These findings are puzzling, and understanding them may help us understand other differ-ences between men and women. In this article we examine factors that may relate to both navigation strategy and geographic knowledge.
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Research by both geographers and psychologists suggests that there are differences in females' and males' everyday geographic and spatial knowledge. These differences in knowledge have been attributed to variances in biology and hormonal levels; differences in social status, culture and education; and differences in the ability to answer questions and think about geographic space. This paper examines these theories and explores the everyday geographic knowledge of females and males using both quantitative exercises and qualitative interviews. In contrast to most studies, only a few minor differences were found between females' and males' knowledge, their ability to answer the questions set and the strategies of spatial thought employed and it is suggested that any differences found between the sexes in other studies are due to socio-cultural factors reinforcing gender stereotypes.
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Male and female subjects were tested for spatial ability and were shown slides depicting pairs of intersecting suburban routes. They saw each route either one or three times. Pairs of test slides were then presented, and measures were taken of the judged angle and direct distance between the two scenes as well as of the time taken to make the judgment. In addition, subjects made judgments of the travel distances and placed target locations on a sketch map of the route network. The crucial comparison was between those judgments made across routes and those made within routes. Because these did not differ, it appeared that network knowledge had been acquired during original learning. Males were more accurate than females in angular judgment and in travel distance estimation. Further analysis of the angular estimates, using circular statistics, illustrated a tendency for females to underestimate the wider angles. The correlations between the various measures of spatial ability were low, suggesting task specificity.