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16 DigiCULT
P
REPARING
FOR
THE
A
MBIENT
I
NTELLIGENCE
L
ANDSCAPE
T
he DigiCULT Roadmap strongly relates to
the vision of Ambient Intelligence (AmI).
AmI informs the Information Society Tech-
nologies priority of the European Union's Sixth
Framework Programme for Research and Techno-
logical Development, and is expected to be carried
on in the Seventh Framework Programme. Therefore,
this chapter first describes the AmI vision. Second-
ly, a summary is given of parts of the Ambient Intel-
ligence in Everyday Life (AmI@Life) pilot science &
technology roadmap, which addresses cultural herit-
age. Finally, technologies that the AmI@Life roadmap
considers to be key for the AmI application domains
cultural heritage and cultural participation are aggre-
gated in a tabular overview. This should provide a first
picture of technologies deemed relevant in innovative
RTD towards future systems and applications in these
two largely overlapping domains.
T
HE
VISION
OF
A
MBIENT
I
NTELLIGENCE
(A
M
I)
T
he IST Advisory Group (ISTAG) has, over the
past six years, developed the concept of Ambi-
ent Intelligence (AmI) as a shared general framework
and continual inspiration of research, technological
and industrial development for a thriving Europe-
an information society.
13
Described in the form of a
condensed scenario, the AmI vision includes:
In all our living, working, leisure and other spac-
es information technologies, computers and oth-
er devices fade into the background because we are
surrounded by intelligent environments with intui-
tive interfaces embedded in all kinds of objects. The
scenario also includes smart mobile devices, personal
digital assistants and close to body technologies such
as `wearables' that incorporate interfaces (e.g. `smart'
clothes). The objects and devices connect to various
networks and systems and also form ad hoc networks
to support us in all kinds of activities. They recognise
our presence and changing needs and wants as well as
relevant changes in the environment. They respond in
a seamless, unobtrusive and often invisible way, never-
theless remaining under our control. We can depend
on and trust in these systems, but also opt for volun-
tary exclusion. In particular, we are no longer forced
How Ambient Intelligence may become real
Jari Ahola (VTT Information Technology, Fin-
land) writes: `Making AmI real is no easy task: as
it commonly takes place with new technologies,
soon after high-flying visions we are demonstrated
with the first pieces of hardware for the intelli-
gent environment. However, making a door knob
able to compute and communicate does not make
it intelligent: the key (and challenge) to really
adding wit to the environment lies in the way the
system learns and keeps up to date with the needs
of the user by itself.'
Ahola continues: `A thinking machine, you mig-
ht conclude not quite but close: if you rely on
the intelligent environment you expect it to ope-
rate correctly every time without tedious training
or updates and management. You might be willing
to do it once but not constantly even in the case
of frequent changes of objects, inhabitants or pre-
ferences in the environment. A learning machi-
ne, I'll say.'
J. Ahola: "Ambient Intelligence"; introduction to
ERCIM News, No. 47, p. 8, October 2001.
http://www.ercim.org/publication/Ercim_News/
enw47/
13
IST Advisory Group,
http://www.cordis.
lu/ist/istag.htm; cf. the
first major ISTAG report
Scenarios for ambient intel-
ligence in 2010, published
in 2001, and subsequent
reports, http://www.cordis.
lu/ist/istag-reports.htm
DCTHI7_271104.indd 16
06.12.2004 8:36:41 Uhr