This
paper
focuses
on
task
analysis
for
sonification
applications.
The
is
based
two
models,
namely
the
Sonification
Application
model
and
User
Interpretation
Construction
model.
Both
are
used
to
explain
what
application
offers
user
will
perceive
or
interpret
from
application's
sonic
output.
gives
an
overview
of
designer's
intentions
design.
IEEE Transactions on Haptics,
Journal Year:
2011,
Volume and Issue:
4(4), P. 273 - 294
Published: Feb. 11, 2011
This
paper
surveys
the
research
literature
on
robust
tactile
and
haptic
illusions.
The
illusions
are
organized
into
two
categories.
first
category
relates
to
objects
their
properties,
is
further
differentiated
in
terms
of
processing
material
versus
geometric
object
properties.
second
space,
observer's
own
body
external
space.
initially
described
where
possible
addressed
functional
properties
and/or
underlying
neural
processes.
significance
these
for
design
displays
also
discussed.
We
conclude
by
briefly
considering
a
number
important
general
themes
that
have
emerged
materials
surveyed.
IEEE Transactions on Visualization and Computer Graphics,
Journal Year:
2011,
Volume and Issue:
17(12), P. 1922 - 1931
Published: Nov. 4, 2011
In
this
paper,
we
present
a
user
study
in
which
have
investigated
the
influence
of
seven
state-of-the-art
volumetric
illumination
models
on
spatial
perception
volume
rendered
images.
Within
study,
compared
gradient-based
shading
with
half
angle
slicing,
directional
occlusion
shading,
multidirectional
shadow
propagation,
spherical
harmonic
lighting
as
well
dynamic
ambient
occlusion.
To
evaluate
these
models,
users
had
to
solve
three
tasks
relying
correct
depth
size
perception.
Our
motivation
for
was
find
relations
between
used
model,
accuracy
and
elapsed
time.
an
additional
task,
subjectively
judge
output
tested
models.
After
first
reviewing
their
features,
will
introduce
individual
discuss
results.
We
discovered
statistically
significant
differences
testing
performance
techniques.
Based
findings,
analyzed
extracted
those
features
are
possibly
relevant
improved
comprehension
relational
task.
believe
that
combination
distinctive
could
pave
way
novel
would
be
optimized
based
our
findings.
Journal of Hospitality Marketing & Management,
Journal Year:
2009,
Volume and Issue:
19(1), P. 22 - 37
Published: Nov. 6, 2009
The
present
study
explains
how
ambience
is
strongly
linked
to
customer
satisfaction
in
hotel
bar
servicescapes.
requirement
of
matching
elements
the
servicescape
needs
consumer
indicated
by
Gestalt
theory.
Data
were
collected
an
experimental
setting
designed
examine
if
a
situation
will
have
more
positive
effect
on
individual's
than
non-Gestalt
situation;
arousal
being
moderator.
Results
indicate
that
individuals
with
low
are
satisfied
(tranquil)
(dynamic)
bar.
Our
findings
suggest
service
providers
should
adopt
novel
or
unique
colors
and
music
fit
purpose
their
atmosphere
enhance
customers'
level
because
individual
then
moderate
evaluation.
American Anthropologist,
Journal Year:
2011,
Volume and Issue:
113(4), P. 606 - 618
Published: Nov. 25, 2011
ABSTRACT
Here
I
explore
how
the
experience
of
place
at
a
First
Nations
reserve
in
Ontario,
located
middle
Canada's
“Chemical
Valley,”
is
disrupted
by
extraordinary
levels
pollution
found
there.
In
so
doing,
give
special
attention
to
air
and
residents’
responses
associated
odors—that
is,
sense
smell.
Focusing
on
unique
feature
smell—that
it
operates
primarily
through
indexicality—I
draw
C.
S.
Peirce's
semiotic
framework
highlight
ways
which
perception
odors
entails
embodiment
perceived
substance,
thus
connecting
self
surroundings
profound
transformative
ways.
Ultimately,
argue
that
local
smellscape,
while
having
reinforced
positive
emplacement
past,
now,
because
constant
presence
toxic
fumes,
instilling
residents
alienation
from
ancestral
landscape—a
condition
call
“
dysplacement.”
PLoS ONE,
Journal Year:
2025,
Volume and Issue:
20(1), P. e0313076 - e0313076
Published: Jan. 28, 2025
Electroencephalographic
signals
are
obtained
by
amplifying
and
recording
the
brain’s
spontaneous
biological
potential
using
electrodes
positioned
on
scalp.
While
proven
to
help
find
changes
in
brain
activity
with
a
high
temporal
resolution,
such
contaminated
non-stationary
frequent
artefacts.
A
plethora
of
noise
reduction
techniques
have
been
developed,
achieving
remarkable
performance.
However,
they
often
require
multi-channel
information
additional
reference
signals,
not
fully
automated,
human
intervention
mostly
offline.
With
popularity
Brain-Computer
Interfaces
application
Electroencephalography
daily
activities
other
ecological
settings,
there
is
an
increasing
need
for
robust,
online,
near
real-time
denoising
techniques,
without
that
automated
does
supervision
nor
information.
This
research
contributes
body
knowledge
introducing
onEEGwaveLAD
,
novel,
ONline,
EEG
wavelet-based
Learning
Adaptive
Denoiser
pipeline
artefact
identification
reduction.
It
specific
framework
can
be
instantiated
various
types
artefacts
paving
path
towards
denoising.
As
first
its
kind,
it
described
particular
problem
blink
detection
reduction,
evaluated
across
general
analysis
signal
ratio
30
participants.