Digitalizing cultural heritage through metaverse applications: challenges, opportunities, and strategies
Heritage Science,
Год журнала:
2024,
Номер
12(1)
Опубликована: Авг. 13, 2024
Abstract
Preservation
and
accessibility
of
cultural
heritage
have
become
essential
with
the
rapid
advancements
globalization
modernization
endeavors
constantly
threatening
historical
artifacts
sites
across
world.
The
advent
metaverse,
its
immersive
interactive
capabilities,
presents
a
novel
approach
to
safeguarding
promoting
heritage.
current
study
aims
explore
potential
metaverse
applications
in
digitalizing
heritage,
encompassing
virtual
reconstructions,
educational
outreach,
global
accessibility,
sustainability.
It
conducts
systematic
literature
review
using
PRISMA
guidelines
collect,
screen,
evaluate
existing
research
enquiries
into
investigating
practices
technologies
digitalization
preservation.
also
case
investigate
challenges
opportunities
associated
preservation
tangible
intangible
assets,
including
issues
authenticity,
representation,
Furthermore,
it
evaluates
impact
on
public
engagement
education.
findings
provide
valuable
insights
developing
innovative
strategies
for
preserving
digital
age
while
highlighting
best
optimizing
Язык: Английский
What influences user continuous intention of digital museum: integrating task-technology fit (TTF) and unified theory of acceptance and usage of technology (UTAUT) models
Heritage Science,
Год журнала:
2024,
Номер
12(1)
Опубликована: Июль 24, 2024
Abstract
Digital
museums
play
a
crucial
role
in
facilitating
users'
access
to
and
exploration
of
digital
cultural
heritage
resources.
However,
exploring
the
factors
influencing
user
engagement
with
these
from
experience
perspective
remains
essential.
This
study
evaluates
driving
continuous
behavioral
intention
towards
museum
Beijing’s
central
axis,
integrating
new
task-technology
fit
(TTF)
unified
theory
acceptance
use
technology
(UTAUT)
models,
introducing
perceived
enjoyment,
design
aesthetics,
value
as
additional
variables.
Analyzing
survey
data
(n
=
377)
utilizing
structural
equation
modeling
(SEM),
identifies
following
key
findings:
(1)
task
characteristics
significantly
impact
TTF;
(2)
performance
expectancy,
effort
all
positively
intention;
(3)
technological
were
observed
expectancy;
but
(4)
TTF
social
influence
did
not
have
no
significant
intention.
These
findings
offer
valuable
insights
into
heritage,
offering
practical
guidance
for
future
development
optimization
museums,
highlighting
specific
implications
suggestions
enhancing
experience.
Язык: Английский
Three-Dimensional Documentation and Virtual Web Navigation System for the Indoor and Outdoor Exploration of a Complex Cultural Heritage Site
Electronics,
Год журнала:
2024,
Номер
13(14), С. 2833 - 2833
Опубликована: Июль 18, 2024
The
spread
of
new
survey
strategies
for
the
documentation
and
3D
reconstruction
complex
cultural
heritage
sites
enables
implementation
virtual
web
navigation
systems
that
are
useful
their
fruition.
In
particular,
remote
indoor/outdoor
exploration
enhances
our
knowledge
sites,
even
in
inaccessible
or
difficult-to-visit
states.
However,
data
acquisition
remains
a
challenge,
these
datasets
is
often
limited
to
property
software
implementations.
This
work
describes
construction
an
visualization
system
based
on
WebGL
open-source
technology
site.
case
study
regards
“Santa
Maria
della
Grotta”
Marsala
(Italy),
which
composed
church
located
mostly
underground
connected
human-dug
hypogea
site
Punic
necropolis.
aim
was
obtain
detailed
indoor
outdoor
spaces
through
integration
mobile
laser
scanning
aerial
photogrammetry
survey,
develop
provides
users
with
simple,
web-browser-based
visualization,
enabling
dissemination
monuments’
economically
sustainable
solution
technologies.
Язык: Английский
The Ontological Multiplicity of Digital Heritage Models: A Case Study of Yunyan Temple, Sichuan Province, China
Buildings,
Год журнала:
2025,
Номер
15(2), С. 178 - 178
Опубликована: Янв. 9, 2025
This
paper
investigates
the
ontological
multiplicity
of
digital
heritage
objects
within
context
a
twin
project
focused
on
Yunyan
Temple,
Sichuan
Province,
China—a
site
threatened
by
natural
disasters.
The
employs
laser
scanning
and
photogrammetry
to
generate
high-resolution
3D
models
at
varying
levels
detail.
study
analyzes
how
these
support
diverse
analytical
tasks
ranging
from
geomorphological
analysis
structural
assessments
spatial
sequence
analysis.
We
present
novel
four-layer
data
integration
service
platform
architecture
designed
manage
complex
relationships
arising
this
multiplicity.
includes
temporal
database
iterative
refinements
conservation
strategies
based
ongoing
monitoring.
findings
highlight
dynamic
role
in
knowledge
production
offer
practical
implications
for
design,
management,
development
adaptive
cultural
heritage.
Язык: Английский
ECHO-M: Towards an Ethical Framework for Selecting Cultural Heritage Objects for Digitization in Metaverse
Lecture notes on data engineering and communications technologies,
Год журнала:
2025,
Номер
unknown, С. 365 - 376
Опубликована: Янв. 1, 2025
Язык: Английский
Enhanced and Combined Representations in Extended Reality through Creative Industries
Applied System Innovation,
Год журнала:
2024,
Номер
7(4), С. 55 - 55
Опубликована: Июнь 26, 2024
The
urgent
need
for
research
and
study
with
nondestructive
noninvasive
methods
the
preservation
of
cultural
heritage
led
to
development
application
methodologies
multi-level
digitization
elements.
Photogrammetry
three-dimensional
scanning
offer
photorealistic
accurate
digital
representations,
while
X-rays
computed
tomography
reveal
properties
characteristics
internal
invisible
structure
objects.
However,
investigation
access
these
datasets
are,
in
several
cases,
limited
due
increased
computing
resources
special
knowledge
required
their
processing
analysis.
evolution
immersive
technologies
creative
industry
video
games
offers
unique
user
experiences.
Game
engines
are
ideal
platform
host
easy-to-use
applications
that
combine
heterogeneous
data
simultaneously
integrating
emerging
technologies.
This
article
seeks
shed
light
on
how
representations
3D
imaging
can
be
harmoniously
combined
a
virtual
space
and,
through
simple
interactions,
provide
holistic
enhanced
experience
end
users.
builds
previous
concerning
museum
Antikythera
Mechanism
describes
conceptual
framework
design
an
affordable
display
tool
space.
Our
solution
was
validated
by
62
users
who
participated
tests
evaluations.
results
show
proposed
methodology
met
its
objectives.
Apart
from
heritage,
specific
could
easily
extended
adapted
training
purposes
wide
field
application,
such
as
education,
health,
engineering,
industry,
more.
Язык: Английский
The Usage of Virtual and Augmented Reality in Underwater Archeology
Applied Sciences,
Год журнала:
2024,
Номер
14(18), С. 8188 - 8188
Опубликована: Сен. 11, 2024
Currently,
virtual
and
augmented
reality
(VR
AR)
technologies
are
becoming
more
widely
used
in
various
fields
of
human
activity,
including
archeology.
The
aim
this
article
is
to
analyze
the
possibilities
using
VR
AR
broadly
understood
activities
related
underwater
This
work
a
review
presents
current
applications
archeology
based
on
case
studies.
paper
development
technologies,
field
archaeology,
generally
describes
process
creating
for
purposes,
with
particular
emphasis
data
collection
methods.
Then,
areas
application
these
were
presented
barriers
their
use
discussed.
most
important
part
discussion
selected
ends
summary
state
developing
Язык: Английский
Exploring Controllable Ability through Text-to-Image Diffusion Model for Painting-Style Design
Опубликована: Авг. 15, 2024
Painting
style
and
creativity
are
fundamental
to
art,
defining
a
work’s
uniqueness
expression.
They
embody
an
artist’s
personality,
convey
emotions,
establish
identity,
shape
audience
perception,
adding
depth
value
the
work.
Recently,
diffusion
models
have
gained
popularity
in
art
design,
animation,
gaming,
especially
original
painting
creation,
poster
visual
identity
development.
Traditional
creative
processes,
while
demanding
unique
imagination
creativity,
often
face
challenges
such
as
slow
innovation,
high
reliance
on
manual
efforts,
costs,
limitations
scalability.
Consequently,
exploring
painting-style
design
through
deep
learning
has
emerged
promising
trend.
In
this
paper,
we
introduce
novel
network
architecture,
Painting-Style
Design
Assistant
Network
(PDANet),
for
transformation.
To
support
this,
curated
Painting-42
dataset,
comprising
4,055
works
by
42
renowned
Chinese
painters.
PDANet
leverages
dataset
capture
aesthetic
intricacies
of
painting,
offering
rich
references.
Furthermore,
propose
lightweight
Identity-Net
large-scale
text-to-image
(T2I)
models,
which
aligns
internal
knowledge
with
external
control
signals,
thereby
enhancing
capabilities
existing
T2I
models.
The
trainable
feeds
image
prompts
into
U-Net
encoder
generate
diverse
stable
images.
Both
quantitative
qualitative
analyses
demonstrate
that
our
approach
outperforms
current
methods,
delivering
high-quality
generated
content
wide-ranging
applicability.
Язык: Английский
A Novel Flexible Identity-Net with Diffusion Models for Painting-Style Generation
Опубликована: Авг. 28, 2024
Art's
unique
style
and
creativity
are
essential
in
defining
a
work's
identity,
conveying
emotions,
shaping
audience
perception.
Recent
advancements
diffusion
models
have
revolutionized
art
design,
animation,
gaming,
particularly
generating
original
artwork
visual
identities.
However,
traditional
creative
processes
face
challenges
such
as
slow
innovation,
high
costs,
limited
scalability.
Consequently,
deep
learning
has
emerged
promising
solution
for
enhancing
painting-style
design.
In
this
paper,
we
present
the
Painting-Style
Design
Assistant
Network
(PDANet),
groundbreaking
network
architecture
designed
advanced
transformation.
Our
work
is
supported
by
Painting-42
dataset,
meticulously
curated
collection
of
4,055
artworks
from
42
illustrious
Chinese
painters,
capturing
aesthetic
nuances
painting
offering
invaluable
design
references.
Additionally,
introduce
lightweight
Identity-Net,
to
enhance
large-scale
text-to-image
(T2I)
aligning
internal
knowledge
with
external
control
signals.
This
innovative
Identity-Net
seamlessly
integrates
image
prompts
into
U-Net
encoder,
enabling
generation
diverse
consistent
images.
Through
extensive
quantitative
qualitative
evaluations,
our
approach
demonstrated
superior
performance
compared
existing
methods,
producing
high-quality,
versatile
content
broad
applicability
across
various
domains.
not
only
advances
field
AI-driven
but
also
offers
new
paradigm
future
Язык: Английский