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User-centered design in brain-computer interfaces-a case study.
[locked-in syndrome]
The
array
of
available
brain
-computer
interface
(
BCI
)
paradigms
has
continued
to
grow
,
and
so
has
the
corresponding
set
of
machine
learning
methods
which
are
at
the
core
of
BCI
systems
.
The
latter
have
evolved
to
provide
more
robust
data
analysis
solutions
,
and
as
a
consequence
the
proportion
of
healthy
BCI
users
who
can
use
a
BCI
successfully
is
growing
.
With
this
development
the
chances
have
increased
that
the
needs
and
abilities
of
specific
patients
,
the
end-users
,
can
be
covered
by
an
existing
BCI
approach
.
However
,
most
end-users
who
have
experienced
the
use
of
a
BCI
system
at
all
have
encountered
a
single
paradigm
only
.
This
paradigm
is
typically
the
one
that
is
being
tested
in
the
study
that
the
end-user
happens
to
be
enrolled
in
,
along
with
other
end-users
.
Though
this
corresponds
to
the
preferred
study
arrangement
for
basic
research
,
it
does
not
ensure
that
the
end-user
experiences
a
working
BCI
.
In
this
study
,
a
different
approach
was
taken
;
that
of
a
user-centered
design
.
It
is
the
prevailing
process
in
traditional
assistive
technology
.
Given
an
individual
user
with
a
particular
clinical
profile
,
several
available
BCI
approaches
are
tested
and
-
if
necessary
-
adapted
to
him
/
her
until
a
suitable
BCI
system
is
found
.
Described
is
the
case
of
a
48
-
year
-old
woman
who
suffered
from
an
ischemic
brain
stem
stroke
,
leading
to
a
severe
motor
-
and
communication
deficit
.
She
was
enrolled
in
studies
with
two
different
BCI
systems
before
a
suitable
system
was
found
.
The
first
was
an
auditory
event-related
potential
(
ERP
)
paradigm
and
the
second
a
visual
ERP
paradigm
,
both
of
which
are
established
in
literature
.
The
auditory
paradigm
did
not
work
successfully
,
despite
favorable
preconditions
.
The
visual
paradigm
worked
flawlessly
,
as
found
over
several
sessions
.
This
discrepancy
in
performance
can
possibly
be
explained
by
the
user
's
clinical
deficit
in
several
key
neuropsychological
indicators
,
such
as
attention
and
working
memory
.
While
the
auditory
paradigm
relies
on
both
categories
,
the
visual
paradigm
could
be
used
with
lower
cognitive
workload
.
Besides
attention
and
working
memory
,
several
other
neurophysiological
and
-
psychological
indicators
-
and
the
role
they
play
in
the
BCIs
at
hand
-
are
discussed
.
The
user
's
performance
on
the
first
BCI
paradigm
would
typically
have
excluded
her
from
further
ERP-based
BCI
studies
.
However
,
this
study
clearly
shows
that
,
with
the
numerous
paradigms
now
at
our
disposal
,
the
pursuit
for
a
functioning
BCI
system
should
not
be
stopped
after
an
initial
failed
attempt
.
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