This
study
aims
to
explore
the
effects
of
different
human-machine
interfaces,
system
performance,
and
robot
interaction
modalities
on
over-trust
in
chat
companion
systems.
We
designed
implemented
three
types
interfaces:
2D
Virtual
Interface
+
Robot,
3D
Augmented
Reality
AR-based
Real
World
NAO
Physical
Robot.
also
manipulated
performance
(high
or
low)
modality
(language,
gesture,
both).
conducted
a
user
with
30
participants,
who
interacted
under
conditions
rated
their
trust,
distrust,
human-robot
distance.
measured
experience
terms
usefulness
ease
use.
The
results
showed
that
type
interface
significantly
influenced
distance
users,
augmented
reality
was
most
effective
enhancing
trust
reducing
distrust
affected
gesture
sensitive
variation.
did
not
have
significant
impact
dependent
variables.
ratings
indicated
useful
easy
implications
limitations
these
findings
are
discussed
paper.
IEEE Transactions on Learning Technologies,
Journal Year:
2022,
Volume and Issue:
15(6), P. 685 - 696
Published: Sept. 29, 2022
The
Metaverse
is
a
network
of
3-D
virtual
worlds
supporting
social
connections
among
its
users
and
enabling
them
to
participate
in
activities
mimicking
real
life.
It
merges
physical
reality
provides
channels
for
multisensory
interactions
immersions
variety
environments
(Mystakidis,
2022).
considered
the
third
wave
Internet
revolution,
it
built
on
new
emerging
technologies
such
as
extended
artificial
intelligence.
Research
impact
education
exploded
2022.
Here,
we
explore
learning
across
propose
innovative
theoretical
framework
by
reviewing
literature
synthesizing
best
practices
designing
metaverse
environments.
This
ecosystem
consists
four
major
hubs:
1)
instructional
design
performance
technology
hub;
2)
knowledge
3)
research
4)
talent
training
hub.
Common
all
hubs
are
factors
three
wheels:
infrastructure,
business
industry,
communication;
access
equity;
user
rights,
data
security,
privacy
policy.
We
believe
that
this
can
help
guide
development
applications
education.
also
hope
article
serve
launch
pad
special
issue
Future
Education
supported
IEEE
Society.
Journal of King Saud University - Computer and Information Sciences,
Journal Year:
2023,
Volume and Issue:
35(10), P. 101846 - 101846
Published: Nov. 16, 2023
The
integration
of
AI
technology
with
digital
transformation
has
profoundly
shaped
the
evolution
towards
triplet
architecture,
grounded
in
human-centric
methodologies.
By
infusing
human
intellectual
activities
into
both
physical
and
cyberspace,
innovative
links
between
humans
machines
are
established.
Despite
limitations
transitioning
from
tangible
presence
to
realm
extensive
efforts
underway
harness
emotional,
visual,
oral
responses,
thereby
enhancing
reasoning
predictive
capabilities
twins.
These
advancements
aim
elevate
real-time
interactions
virtual
systems
by
integrating
intelligent
algorithms
cognitive
computing
This
paper
meticulously
analyses
recent
trends
twins,
tracing
their
traditional
concepts
applications
a
nuanced
hierarchy
that
incorporates
intuition,
knowledge,
creativity
within
cyberspace.
we
delve
hierarchical
framework
triplet,
resonating
maturity,
domination,
volition
levels,
enhances
perceptual
study
provides
systematic
overview
development
ultra-realistic
models,
incorporating
data-driven
artefacts
integrate
multidomain,
multiphysics,
multiscale
simulations.
research
scope
is
focused
on
augmenting
perceptive
heuristic
utilizing
data
analytics,
retrieving
heterogeneous
entities
using
semantic
artificial
intelligence
technologies,
amalgamating
machine
learning
insight
knowledge.
proposed
aims
enhance
cyberspace's
capacity
for
learning,
skills,
knowledge
transfer.
It
can
be
guideline
researcher
promote
augmentation
brain
through
brain-machine/computer
interface,
virtual,
augmented,
extended
reality,
fostering
symbiotic
relationship
industrial
metaverse
industry
5.0.
discusses
future
directions
challenges
involved
developing
twins
paradigm,
aiming
embody
human-machine
symbiosis.
Procedia CIRP,
Journal Year:
2023,
Volume and Issue:
119, P. 456 - 461
Published: Jan. 1, 2023
Following
the
technological
advances,
new
personalized,
and
immersive
services,
based
on
recent
developments
in
virtual
co-existence,
i.e.,
Metaverse,
opportunities
for
teaching
methodologies
practices
reskilling
educators
students
emerge.
However,
Metaverse
infrastructure
is
still
its
infancy.
Thus,
researchers,
educators,
digital
designers
have
an
opportunity
to
lead
way.
To
realize
potential
as
a
three-dimensional,
global,
interconnected,
real-time
online
world,
ways
of
connecting
physical
world
with
Extended
Reality
(XR)
experiences
are
required.
Online
learning
has
become
mainstream,
Education
mainly
focusing
integration
technologies
into
academic
curricula
make
more
engaging
conceivable.
one
those
focal
points
create
3D
classrooms.
Additionally,
heading
towards
Industry
5.0,
huge
amount
personal
data
continuously
uploaded
Cloud.
As
such,
Blockchain
required
improve
quality
education
by
enhancing
accreditation
processes,
including
security
issues
scalability.
Therefore,
this
research
work
design
development
collaborative
platform
Product-Service
Systems
(PSS),
encapsulating
plethora
tools
presented.
Ultimately,
their
accompanying
technologies,
young
engineers
can
coexist
industrial
partners,
colleagues,
attempt
achieve
greater
engagement,
learn
doing,
get
familiar
foreign
multi-cultural
educational
systems.
Consequently,
presented
framework
promotes
collaboration
provided
credits
granted
through
framework.
Health and Technology,
Journal Year:
2023,
Volume and Issue:
13(5), P. 831 - 842
Published: Sept. 1, 2023
Abstract
Purpose
European
Extended
Reality
(XR)
industry
is
expected
to
significantly
increase
by
2025
with
an
extreme
impact
on
the
Healthcare
scenario.
Considering
that
transition
period
for
Medical
Device
Regulation
2017/745
(MDR
2017/745)
will
end
in
May
2024,
purpose
of
this
study
assess
whether
Regulatory
Compliance
ready
cope
inclusion
XR
and
its
possible
social
economic
world
medical
device
software
(MDSW).
Methods
publications
patterns
were
evaluated
since
MDR
release
different
databases.
normative
about
MDSW
are
consulted,
followed
Database
Devices
(EUDAMED).
Results
The
number
have
increased
2017
healthcare
third
highest-impacted
subject
area.
Specific
classes
been
introduces
Nomenclature
(EMDN)
some
applications
already
registered
EUDAMED
classified
as
MDSW.
Conclusions
become
intrinsic
everyday
protocol
guidelines.
establishment
IEEE
Virtual
Augmented
Working
Group
statement
VR
remoting
surgery
a
MDCG
2019-11
demonstration
necessity
MD
regulatory
compliance
being
able
keep
up
upcoming
technologies.
Authors
agree
competent
authorities
should
consider
intervening
Regulative
revolution
Phygital
regulate
procedures
involving
use
medicine
preventing
future
misunderstanding
criticalities
especially
high
risk
situations.
In
the
past
few
years,
drones
have
become
a
big
part
of
many
businesses
and
government
agencies
doing
their
jobs.
They
also
helped
several
industries
break
through
areas
where
they
were
stuck
or
falling
behind.
From
making
quick
deliveries
during
peak
times
to
scanning
military
base
that
people
can't
get
to,
are
proving
be
immensely
useful
in
places
task
done
efficiently.
Production
costs
workloads
can
reduced;
work
efficiency
increased,
accuracy
improvised,
etc.,
obtained
by
using
drones.
Human
emotions
inferred
from
facial
expressions,
form
nonverbal
communication.
Facial
Expression
Recognition
analyses
feelings
conveyed
various
sources,
such
as
images
movies.
It
belongs
"affective
computing"
family
technologies,
multidisciplinary
field
study
on
computers'
abilities
perceive
interpret
human
emotions.
The
basic
steps
followed
expression
recognition
systems
detect
faces
image,
identify
finally
classify
them
into
respective
classes.
Convolutional
neural
networks
play
vital
role
designing
efficient
FER
systems.
had
applications
healthcare,
education,
workplace
safety,
public
service,
other
fields.
benefits
drone
combined
develop
model
calculates
overall
emotional
score
scenario
an
event
group
present
which
one
know
what
is
happening
event,
precautionary
taken
if
necessary.
By
taking
support
drones,
easily
captured,
image
captured
object
detection
techniques;
given
emotion
system
calculate
input
images.
CNN
developing
Journal of Physics Conference Series,
Journal Year:
2024,
Volume and Issue:
2837(1), P. 012059 - 012059
Published: Oct. 1, 2024
Abstract
This
paper
elaborates
on
the
large
number
of
Uncertainty
Quantification
(UQ)
techniques
that
have
been
proposed
to
enhance
reliability
and
fidelity
Digital
Twins
are
increasingly
finding
applications
in
domains
like
Robotics
Smart
Manufacturing.
twins
virtual
duplicates
or
models
a
physical
asset;
they
use
advanced
such
as
data
analytics
simulation-driven
methods.
However,
development
these
systems
plagued
by
host
uncertainties,
which
mainly
introduced
from
sensor
noise,
intermittent
connectivity,
biases
processing,
model
abstractions
simulation
stochasticity.
Such
uncertainties
can
be
quantified
methods
frequentist
statistics,
interval
analysis,
Bayesian
inference,
random
sampling.
The
mapping
is
important
gaining
insights
into
UQ
their
associated
advantages
limitations
mitigation
guidelines
used
throughout
Twin
pipeline.
at
its
core
involves
real-time
adaptive
control
dynamically
changing
environments
leverage
state
awareness
towards
responsive
action
within
predictive
feedback
systems.
In
addition,
machine
learning
algorithms
support
ability
make
better
decisions
identification
patterns
historical
plans
for
trajectories
robots.
further
allows
collaboration
human
machine,
giving
early
warnings
anomalies
risks
visibility
fosters
coordination
communication
during
disruptive
situations.
Robust
digital
robotics
manufacturing
relies
integrated
practices.
current
review
provides
best
practices,
insights,
application
across
modeling,
strategies,
collaborative
workflows
aimed
delivering
actionable
reliable
twin
simulations,
analytics,
decision
support.
