PAPER
PERCEPTION AND ICTS
Perception and ICTs
http://dx.doi.org/10.3991/ijep.v5i3.4015
Athanasios S. Drigas and Diatsigkos Dimitrios
NCSR DEMOKRITOS, Institute of Informatics and Telecommunications, Net Media Lab, Athens, Greece
Abstract—Perception as a thought process and as one of the
most fundamental cognitive functions is considered as an
important scientific field of study and therefore has been
discussed intensively. The role of ICTs in brain perception
is reviewed here. The importance of ICTs in children with
special needs and perception difficulties is explored while
the effectiveness of new technology in reading perceptual
ability is presented. For the scope of our research, a comprehensive review of the most representative studies of the
last decade was conducted with respect to the aforementioned aspects in order to survey the findings.
Index Terms—ICT, perception, language disorders, speech
disorders, assessment, intervention.
I.
INTRODUCTION
Perception is a process by which individuals identify,
organize and interpret input to produce a meaningful experience of the environment. Our brain and especially our
visual system are constantly overloaded. Computerized
task rules are distinguished between the followings items:
A) Size B) Intensity C) Frequency D) Status and Contrast
of stimulus. A successful cognition assessment with enhanced tasks can contribute to brain performance, taking
various training benefits into account [1]. Apparently,
participants who trained the longest, improved the most
[2]. The related literature also points out that individuals
with different expectations and beliefs can perceive the
same objects and events in very different ways. !he allocation of the perceptional resources in visual tasks has
been studied extensively. To make this discrimination, it
was necessary to identify the ecological and the constructivist views of perception. Firstly, perception includes
efferent information, as it is found in stimulus (ecological
approach to perception) [3]. Secondly, perception “goes
beyond the information given (constructivist view).
Considering the distribution of research, the visual
world can be broken down into two broad categories.
First, the perception of the substantial or spatial world and
second, the perception of the world of useful and significant things to which we usually attend. The first category
includes the sub-set of colors, textures, surfaces, edges,
shapes and slopes. The second category includes the world
with which we are usually concerned (object, places, people, signals and written symbols). The latter is characterized by an easier shifting from time to time, whereas the
former remains more constant for our experience and may
play a role in the decision to carry out an activity for moving about. In those circumstances, we do not perceive all
the significant stimuli at once. This personal filtering is
defined as selective perception. A particular type of features makes our selection distinctive in terms of the ongoing brain process compared to other neglected features. As
a result of that, perception sometimes seems to be distorted and irreversible through this situation. Based on the
4
aforementioned aspects, the term perception can be divided into two types, the first one being the literal and the
second one the schematic type.
Taking into consideration these specific areas that are
underlined above, our scoping study has considered national and international publications as well as the research and experimental findings of the last decade which
focus on the use of ICT as an assessment tool concerning
the three most important domains of perception: the perception process by dissection, perception and special
needs, as well as reading perceptual ability. In addition,
the various tests of perception such as n-back, illusions
and simulation tests, have become representative examples of the knowledge acquired through this study, whereas before six different approaches of perception have been
discussed over the past century. Finally, in that respect the
questions which concern us most of all are, firstly : which
are the types of perceptual phenomena that we use to form
conjunctions with special needs and, secondly, what are
the causes of these interesting phenomena ? The resulting
studies indicate that, for the purpose of tests, participants
are related to mind procedures such as verbal or visual
processing strategies as well as their combination
II.
PERCEPTUAL PROCESS BY DISSECTION
The overall objective is to manage this varied so-called
immediate process, and its brief description. Even though
these methods have been extensively applied by many
researchers, their basic characteristics are few in number.
A brief exposure of displays followed by a distinguished
number of ambiguous stimuli has thereby been employed.
The results of such monitoring experiments are so many
that only a small part of them can be considered. The
experiments in these categories are grouped either on the
basis of similar techniques or based on the general principles applicable to perception:
a. Linear perspectives [4]. In case we have well organized models in virtual environments the process of perception is more or less automated. [5]
b. The clearly perceived size or shape of an object
[6]. Thus, on the basis of perception and beliefs
we take action with respect to the object and modify the information provided by the object [7].
c. The fact of the relative apparent motion of objects
- as the observer moves, or just his head or eyes
move - through an otherwise stationary environment [8],[9]. Researchers refer to it as motion parallax effect [10].
d. The interposition of one object on another. Here,
the placement of one thing between other things
can make objects that are farther away less visible
or unclear. Researchers suggest that the completeness of objects is a sign for distance [11]. The ob-
http://www.i-jep.org
PAPER
PERCEPTION AND ICTS
e.
f.
g.
h.
i.
j.
ject that is more complete and has regular outline
tends to be the closest one.
The change in color as a ‘distinct feature’ can be
used effectively in distance perception. Color variations like hue or saturation interpret 2D images
in 3D, but their compatibility effects of observation in depth and background are less accurate
[12].
The rate through which the angular speed and size,
or both of them, change an object in the visual
field, provides information which is as important
as the similar stimulus manipulations (e.g. background, depth) [13].
The relative brightness of objects. Research has
shown that (sometimes in a mistaken manner), to
the same extent as the distance from us increases
in an ordinary environment, the intensity of its retinal image becomes lower [14]. This idea occurs
to us only with reference to point sources, this
principle does, however, on the contrary, not apply to reflecting surfaces [15].
The correlation between the lit area of an object
and its shadow (contrast sensitivity) has been conceived to be a depth indicator [16].
The influence of the binocular disparities as discriminative stimulus to their depth analysis [17].
Variations in texture, size and in binocular disparity have been described extensively. Another
source of perception information that renders perception cues even with a single eye has been mentioned by researchers as retinal blur phenomenon
[18].
The convergence is the angle fixated by our eyes
and the observed object. The closer the observed
object is, the higher degrees of convergence we
have [19].
III.
PERCEPTION AND SPECIAL NEEDS
As was mentioned above, this paper seeks to uncover
and explore what improvements have been made in tasks
with static patterns associated with ICTs and special
needs. To pursue that route we have focused on understanding some of the very latest research studies on each
perceptual skill. The latter concern single features or other
stimuli like brightness, colors, shape, object and forms.
In the last few years there has been a tendency among
authors to describe primarily what first happened on the
retina and afterwards they have provided explanations
including later stages in the physiological process of seeing. Although not all results are consistent with each other, especially in relation to the hierarchy of variants, many
sources have repeatedly determined where these factions
are represented in the brain. For instance, research estimates that V1-V3 neurons have responses correlated with
brightness stimulus in all conditions [20]. It should be
mentioned that these conditions encompass a stimulus in
which brightness modulation affects the perception of the
adjoining or overlapping surfaces. The former area involves studies of how individuals with learning disabilities, autism or mental disorders react to static stimuli
[21],[22]. The latter were assessed by using static information that varied in the complexity of the aforementioned conditions.
iJEP ‒ Volume 5, Issue 3, 2015
Moving up the visual pathway, we examined color as
the next logical aspect of perception. It has been observed
in the past that participation of different coloring in the
same texture leads to object discrimination including faces
[23],[24]. The physiological studies of face recognition
suggest that discrete inferior regions of the extrastriate
visual cortex, whose locations vary between individuals,
are specialized for the recognition of faces [25]. In addition, the study of subjects with autism has revealed a reduced visual accuracy in the perception of colors [26].
Similar approaches are also important in studying clinical
groups such as children with dyslexia who are impaired in
tasks with static pattern recognition skills [27]. In the
same wavelength, both background luminosity ratio and
colors of on-screen text have been extensively considered
to be related to dyslexia [28].
Among the factors considered by researchers, shape
plays a special role in the field of perception. Shape as a
logical aspect, derives from a step-by-step process beginning from the higher brain areas that gradually address the
modulation of lower brain areas [29]. On the other hand, a
bottom-up process comes from exogenous stimuli and
proceeds through perceptual analysis without encompassing feedback information [30]. One approach of current
research is to utilize the coexistence of bottom-up and topdown processes. The latter process occurs in illusions, and
has long been recognized as a value in explaining brain
mechanisms. The interest is heightened within the autistic
spectrum. Autistic persons seem to have an almost better
susceptibility to shape perception in comparison to typical
individuals in low-level processes, although a mapping of
high-level perceptual processes has revealed a lower degree of integration in them [31].
According to this mode, the perception of objects and
forms has been mentioned as a process which activates
specific aspects of the temporal brain regions [32]. Recent
work suggests that the object perception, and finally the
recognition of it, is associated with a kind of compromise
between the way we think the object is and the ’’reality’’
of the way in which the object exists. This compromised
functioning is involved in interactions between temporal
and other inferior frontal regions of the brain [33]. A great
deal of research has been devoted to documenting the
perception of objects in youths with autism. The mounting
evidence from such experiments has suggested that individuals with ASD retain but do not modify the origins of
object perception easily.
IV.
READING PERCEPTUAL ABILITY
A very basic and also important approach that has
gained scientific respect in the last decade is the reading
perceptual ability. The findings suggest that any language
chosen activates specific regions of the human brain. As it
is clear, the perceptual ability helps us to read. Thereby,
we can distinguish between the lexical process and the
comprehension process. However, many of the processes
that make up the reading skill are negatively affected in
dyslectic individuals. A multitude of computer tests have
been developed to measure and improve the reading ability through memory processes. The former fall under the
following categories:
1. Phonological awareness exercises. Two methods
have been implemented for its measurement. The
first are tests asking for the number of the various
sounds heard when the individual reads semantically
5
PAPER
PERCEPTION AND ICTS
different words, and the second, tests where sounds
have been removed from words and their correct
reading is requested [34].
2. Phonological reading. To measure this ability in children, they are asked to read random words that are
not part of a sentence. Some of these words are difficult and some are easy [35],[36].
3. Phonological coding. It includes the reminder of
sounds from bead strings of letters which are sometimes in random order or sometimes these series contain parts of words [37],[38].
4. Lexical access: refers to the ability to recover words
and their meaning from the long-term memory [39].
The question is how fast this can occur, and what is
the period of time it requires?
In modern literature, dyslexia has been linked to
memory, and in particular to working memory, receptive
language and visual analysis. Therefore, any effort to
decrease the negative effects of dyslexia incorporates the
previous three aspects. There have also been several interventions, the most effective ones being the pedagogic ones
[40],[41]. With respect to the aforementioned research in
dyslexia, the difference in the time between stimulus and
response in similar or dissimilar things, demonstrates the
speed of the reaction time. In this sense, individuals with
low abilities in verbal processes, such as dyslectic persons,
require more time than individuals with high or normal
verbal abilities.
V.
CONCLUSION
The objective of this study has been to show if and how
ICTs can assess people with perception problems and how
this brain ability may be improved with the help of modern technology. With regard to special needs education,
we have come to the conclusion that computers can cover
and improve any weaknesses, such as filling in tests from
a distance and the distinct time frames for their filling in.
In conclusion, we would also like to briefly summarize
our goals for a possible subsequent research study :
• An additional mapping of high-level perceptual abilities, such as processes in which the stimuli are moving.
• The matching of the acoustic and visual perception in
individuals with special needs, which is still at the initial stages.
• The finding of textbooks aimed at individuals with
learning difficulties in reading, writing, reasoning
ability and other abilities which are referred to as academic abilities or skills. Taking into consideration
that learning difficulties frequently go hand in hand
with other weaknesses, e.g. intellectual disabilities,
emotional and neurological disorders, the more modern interventions try to correct the semantic, phonological and visual-perceptual problems.
Furthermore, starting from the main features of visual
perception, we have provided a number of data directly
related to an individual’s cognitive condition, hoping that
this information will help us to focus our further research
on observation, as well as on training methods for individuals with special needs, with the help of ICTs. Lastly,
we would like to express our view that the research areas
of special education and perception and their correlation
to ICTs calls for more research especially in the field of
6
the intervention. However, we hope that the results of the
current study are encouraging enough in order to reach the
common general agreement that ICTs must play a significant role in the field of analyzing perception as an important brain process.
REFERENCES
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[13]
[14]
[15]
[16]
[17]
[18]
[19]
Jaeggi, S., Studer-Luethi, B., Buschkuehl, M., Yi-Fen, S., Jonides,
J., Walter J, P.: The relationship between n-back performance and
matrix reasoning implications for training and transfer. Intelligence 38(6), pp. 625–635, (2010) http://dx.doi.org/10.1016/j.intell.
2010.09.001
Stephenson, C.L., Halpern, D.F., Improved matrix reasoning
limited to training on tasks with a visuospatial component. Intelligence, 41(5), pp. 341-357, (2013) http://dx.doi.org/10.1016/
j.intell.2013.05.006
Cutting, J.E.: Perception with an eye for motion. Cambridge. MA:
MIT Press. (1986)
Costall, A.: Beyond linear perspective: a cubist manifesto for
visual science. Image Vision Computing 11(6), pp. 334-341,
(1993) http://dx.doi.org/10.1016/0262-8856(93)90012-6
Bruggeman, H., Yonas, A., Konczak, J.: The processing of linear
perspective and binocular information for action and perception.
Neuropsychologia,
45(7),
pp.
1420-1426,
(2007)
http://dx.doi.org/10.1016/j.neuropsychologia.2006.11.004
Broerse J. et al.: The apparent shape of afterimages in the Ames
room.
Perception,
21(2),
pp.
261-268,
(1992)
http://dx.doi.org/10.1068/p210261
McIntosh, R.D., & Lashley, G.: Matching boxes: familiar size
influences action programming. Neuropsychologia, 46(9),pp.
2441-2444, (2008) http://dx.doi.org/10.1016/j.neuropsychologia.
2008.03.003
Fajen, B.R., Jonathan. S.M.: Visual and Non-Visual Contributions
to the Perception of Object Motion during Self-Motion. PLoS
ONE, 8 (2), pp. 1-22, (2013) http://dx.doi.org/10.1371/
journal.pone.0055446
Wexler, M., Panerai, F., Lamouret, I., Droulez, J.: Self-motion
and the perception of stationary objects. Nature 409(6816),pp. 85–
88, (2001) http://dx.doi.org/10.1038/35051081
Fernandez, J.M., & Farell, B.: A neural model for the integration
of stereopsis and motion parallax in structure from motion. Neurocomputing
71(7-9),
pp:
1629-1641,
(2008)
http://dx.doi.org/10.1016/j.neucom.2007.04.006
Hsu, L.C., Kramer, P., Yeh, S.L.: Monocular depth effects on
perceptual fading. Vision Research, 50 (17), pp. 1649-1655,
(2010) http://dx.doi.org/10.1016/j.visres.2010.05.008
Grossberg, S., Swaminathan, G.: A laminar cortical model for 3D
perception of slanted and curved surfaces and of 2D images: development, attention, and bistability. Vision research, 44(11), pp,
1147-1187, (2004)
Zhang, J., Braunstein, M., Andersen, G.J.: Changes in angular size
and speed affect the judged height of objects moving over a
ground surface. Perception, 42(1), pp, 34-44, (2013)
Blakeslee, B., McCourt, M.E.: A multiscale spatial filtering account of the White effect, simultaneous brightness contrast and
grating induction. Vision Research, 39(26), pp, 4361–77, (1999)
Faisman, A., Michael S.L.: How does lighting direction affect
shape perception of glossy and matte surfaces? School of Computer Science In proceedings of the ACM Symposium on Applied
Perception, pages 9-14, (2013) http://dx.doi.org/10.1145/
2492494.2492502
Scharstein, D., Szeliski, D.: High-Accuracy Stereo Depth Maps
Using Structured Light. IEEE Computer Society, pages 195-202
(2003) http://dx.doi.org/10.1109/cvpr.2003.1211354
Grove, P.M., Byrne, Barbara, J.M.: How configurations of binocular disparity determine whether stereoscopic slant or stereoscopic
occlusion is seen. Perception, 34(9), pp, 1083-1094, (2005)
Mather G.: The use of image blur as a depth cue. Perception,
26(9):1147-1158, (1997) http://dx.doi.org/10.1068/p261147
Kemeny, A. and Panerai, F.: Evaluating perception in driving
simulation experiments. TRENDS in Cognitive Science, 7(1), pp,
31–37, (2003)
http://www.i-jep.org
PAPER
PERCEPTION AND ICTS
[20] Salmela, R. and Vanni, S.: Brightness and transparency in the
early visual cortex. Journal of Vision, 13(7):16, pp, 1-14, (2013)
[21] Gori, S., Ronconi, L., Abalti, F., Molteni, M., Agostini, T. and
Facoetti, A.: Brightness local bias in children with autism spectrum disorder. Journal of Vision, 12(9):793, pp, 1-15, (2012)
[22] Floyd, R.A., Dain, S.J. and Elliott R.T.: Is the perception of
brightness different in poor readers? Vision Research 44 (2), pp,
221-227, (2004)
[23] Gegenfurtner, K.R., Rieger J.: Sensory and cognitive contributions
of color to the recognition of natural scenes. Current Biology,
10(13), pp, 805–808, (2000)
[24] Russell, R., Sinha, P., Real-world face recognition: the importance
of surface reflectance properties. Perception, 36(9), pp, 1368–
1374, (2007)
[25] Allison, T., Ginter, H., McCarthy, G., Nobre, A.C., Puce, A. and
Belger, A.: Face Recognition in Human Extrastriate Cortex. Journal of Neurophysiology, 71(2), pp, 821-825, (1994)
[26] Franklin, A., Sowden, P., Burley, R., Notman, L., Alder, E.: Color
perception in children with autism. Journal of Autism and Developmental Disorders, 38(10), pp,1837-1847, (2008)
[27] Faccioli, C., Peru, A., Rubini, E., Tassinari, G.: Poor readers but
compelled to read: Stroop effects in developmental dyslexia. Child
Neuropsychology 14(3), pp, 277-283, (2008)
[28] Rello, L. and Baeza-Yates R.: Optimal Colors to Improve Readability for people with Dyslexia, Text Customization for Readability, Online Symposium.(2012) (link)
[29] Gilbert, C.D. and Sigman, M.: Brain states: top-down influences
in sensory processing. Neuron 54(5), pp, 677–696, (2007)
[30] Corbetta, M., Shulman G.L.: Control of goal-directed and stimulus-driven attention in the brain. Nature Reviews Neuroscience,
3(3), pp, 201-215, (2002)
[31] Bertone, A., Mottron, L., Jelenic P. and Faubert, J.: Enhanced and
diminished visuo-spatial information processing in autism depends
on stimulus complexity. 128(10), pp, 2430–2441, (2005)
[32] Tyler L.K., Moss H.E.: Towards a distributed account of conceptual knowledge. Trends in Cognitive Sciences, 5(6), pp, 244–252
(2001)
Clarke, A., Taylor, K.I., Tyler, L.K.: The evolution of meaning:
[33]
spatiotemporal dynamics of visual object recognition. Journal of
cognitive Neuroscience 23(8), pp, 1887-1899, (2011)
[34] Kazakou, M., Soulis, S., Morfidi, E., Mikropoulos, T.A.: Phonological Awareness Software for Dyslexic Children Themes in Science & Technology Education, 4(1), pp, 33-51 (2011)
[35] Grammenou, A.: Dyslexics’ Profile on the Working Memory Test
Battery for Children, Phoneme Awareness and Literacy Measurements. International Conference on Social Science and Humanity,
5(1), pp, 227-232, (2011)
[36] Macoir, J., Fossard, M., Saint-Pierre M.C., Auclair-Ouellet N.:
Phonological or procedural dyslexia: Specific deficit of complex
grapheme-to-phoneme conversion. Journal of Neurolinguistics,
25(3), pp, 163–177, (2012)
iJEP ‒ Volume 5, Issue 3, 2015
[37] Nikolopoulos, D., Goulandris, N., Hulme, C., Snowling, M.J.:
The cognitive bases of learning to read and spell in Greek: Evidence from a longitudinal study. Journal of Experimental Child
Psychology, 94(1), pp, 1-17 (2006)
[38] Tamayo. F., Casals-Coll, M., Sánchez-Benavides, G., Quintana,
M., Manero, R.M., Rognoni T., Calvo, L., Palomo, R., Aranciva,
F., Peña-Casanova, J.:
Spanish normative studies in a young
adult population (NEURONORMA young adults project): Guidelines for the span verbal, span visuo-spatial, Letter-Number Sequencing, Trail Making Test and Symbol Digit Modalities Test.
Neurología, (English Edition), 27(6), pp, 319-329, (2012).
[39] Douklias, S.D., Masterson, J., Hanley, J.R.: Surface and phonological developmental dyslexia in Greek. Cognitive Neuropsychology, 26(8), pp,705-23, (2009)
[40] Rello, L.: Design of Word Exercises for Children with Dyslexia.
Procedia Computer Science, 5th International Conference on
Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion, 27 ,74-83, (2014)
http://dx.doi.org/10.1016/j.procs.2014.02.010
[41] Stienen-Durand, S., George J.: Supporting Dyslexia in the Programming Classroom. Procedia Computer Science, 5th International Conference on Software Development and Technologies for
Enhancing Accessibility and Fighting Info-exclusion, (27), pp,
419–430, (2014) http://dx.doi.org/10.1016/j.procs.2014.02.046
AUTHORS
Athanasios Drigas is a Senior Researcher at IIT,
N.C.S.R. Demokritos. He is the Coordinator of Telecoms
Lab and founder of Net Media Lab since 1996. From 1985
to 1999 he was the Operational manager of the Greek
Academic network. He has been the Coordinator of Several International Projects, in the fields of ICTs, and eservices (e-learning, e-psychology, e-government, einclusion, e-culture etc). He has published more than 260
articles, 7 books, 25 educational CD-ROMs and several
patents. He has been a member of several International
committees for the design and coordination of Network
and ICT activities and of international conferences and
journals. He has also received several distinctions for his
scientific work (articles, projects, patents) (e-mail:
dr@iit.demokritos.gr).
Diatsigkos Dimitris is a Chemist in Secondary Education. Since 2010 he is a Special Education Teacher. His
students have learning disabilities ranging from autism
and attention deficit disorder, to visual impairments and
emotional disturbances (e-mail: ddiatsig@yahoo.gr).
Submitted 08 July 2014. Published as resubmitted by the authors 25
June 2015.
7