I. INTRODUCTION
Nowadays, information is a key to success. For
decision makers it is important they have instant
information access from anywhere.
On the other hand, with today’s flood of information,
decision making process can sometimes be overloaded.
Computerized services offer centralized information
management, user access control, information
categorization and indexation, as well as full text search,
but retrieved data are not always relevant to the query,
which negatively influence decision making process.
Without proper personalized presentation, content filtering
and classification, decision makers are often left with
excessive data that can impose a cognitive barrier for
them.
As mentioned, it is important in which form the data
are presented to the decision makers. Sophisticated
technology, like augmented reality (AR), offers insight
into data on a different level, as it combines real world
with the digital one, giving users enhanced information
presentation.
AR needs rich user collaborative interfaces, content
filtering and real time personalization, and all these
functions demand huge computing power. Rising use of
cloud computing is addressing some of these issues.
Therefore, in this paper, we offer a quick overview of
current computing technology improvements and cloud
systems that are significantly enhancing information
processing. Moreover, we will glance over evolving
adaptive systems, which can accommodate individual user
experience and optimize learning process. As learning
depends on information perception, we will also try to
explain how information flow is processed inside the
human mind and how do people perceive reality.
At the end, we will show our ARAVET results, which
indicate that AR can be very useful in learning process as
it can improve perception of received information.