Research on key factors influencing Chinese designers’ use of AIGC: An extension based on TAM and TRI
PLoS ONE,
Год журнала:
2025,
Номер
20(2), С. e0314306 - e0314306
Опубликована: Фев. 19, 2025
With
the
rapid
development
of
AI
intelligent
technology,
AIGC
can
bring
an
innovative
revolution
to
art
creation,
providing
designers
with
unlimited
possibilities
but
also
challenges.
These
challenges
affect
willingness
adopt
and
constrain
sustainable
AIGC.
The
purpose
this
study
is
analyse
factors
designers’
adoption
intention
behaviours.
This
reconstructed
research
model
by
combining
technology
characteristics
interactivity,
acceptance
model,
readiness
etc.
empirical
was
conducted
from
dual
perspectives
application
psychology,
in
order
predict
that
behavioural
intentions
use
In
study,
a
questionnaire
survey
among
China
462
valuable
responses
were
received.
Through
structural
equation
modelling
(SEM)
analysis,
found
that:
(1)
AIGC’s
technical
features
interactivity
positively
perceived
ease
use,
usefulness,
interactive
do
not
directly
usefulness;
usefulness
applications;
(2)
optimism
innovation
adopt;
Insecurity
negatively
affects
adopt,
insecurity
does
features;
discomfort
adopt.
further
extends
theoretical
models
TAM(Technology
Acceptance
Model)
TRI(Technology
Readiness
Model),
provides
basis
for
studying
behaviour
AIGC,
enriches
groups
domains
TAM
TRI.
results
provide
inspiration
development,
design,
marketing
applications,
contributing
realisation
as
well
professional
designers.
Язык: Английский
Exploring the Integration of Generative AI in Advertising Agencies: A Co-Creative Process Model for Human–AI Collaboration
Journal of Advertising Research,
Год журнала:
2025,
Номер
unknown, С. 1 - 23
Опубликована: Март 11, 2025
Язык: Английский
Exploration and Practice of Artificial Intelligence Generative Art in Environmental Public Art
Applied Mathematics and Nonlinear Sciences,
Год журнала:
2025,
Номер
10(1)
Опубликована: Янв. 1, 2025
Abstract
Applying
AI
generative
art
to
the
field
of
environmental
public
can
improve
work
efficiency,
save
money,
reduce
costs
and
increase
profits.
In
this
paper,
an
optimized
technique
is
proposed
by
combining
high-level
semantic
features
images
underlying
color
features,
while
introducing
Gestalt
visual
perception
theory.
The
performance
evaluated
conducting
a
questionnaire
survey
on
50
subjects.
Increasing
test
sample
capacity
analyzing
data,
it
concluded
that
mean
value
scores
perceived
quality,
value,
cost,
risk,
social
impact,
media
barriers,
willingness
accept
are
all
above
4,
technology
anxiety
lowest
at
3.832.
This
paper
provides
reference
significance
for
production
dissemination
image
content
AI-generated
in
art.
Язык: Английский
AI-Assisted Inheritance of Qinghua Porcelain Cultural Genes and Sustainable Design Using Low-Rank Adaptation and Stable Diffusion
Electronics,
Год журнала:
2025,
Номер
14(4), С. 725 - 725
Опубликована: Фев. 13, 2025
Blue-and-white
porcelain,
as
a
representative
of
traditional
Chinese
craftsmanship,
embodies
rich
cultural
genes
and
possesses
significant
research
value.
Against
the
backdrop
generative
AI
era,
this
study
aims
to
optimize
creative
processes
blue-and-white
porcelain
enhance
efficiency
accuracy
complex
artistic
innovations.
Traditional
methods
crafting
encounter
challenges
in
accurately
efficiently
constructing
intricate
patterns.
This
employs
grounded
theory
conjunction
with
KANO-AHP
hybrid
model
classify
quantify
core
esthetic
features
thereby
establishing
multidimensional
feature
library
its
Subsequently,
leveraging
Stable
Diffusion
platform
utilizing
Low-Rank
Adaptation
(LoRA)
technology,
artificial
intelligence
(AIGC)-assisted
workflow
was
proposed,
capable
restoring
innovating
enhances
precision
pattern
innovation
while
maintaining
consistency
original
style.
Finally,
by
integrating
principles
sustainable
design,
explores
new
pathways
for
digital
offering
viable
solutions
contemporary
reinvention
crafts.
The
results
indicate
that
AIGC
technology
effectively
facilitates
integration
modern
design
approaches.
It
not
only
empowers
inheritance
continuation
but
also
introduces
ideas
possibilities
development
craftsmanship.
Язык: Английский
Understanding Student Engagement in AI-Powered Online Learning Platforms: A Narrative Review of Key Theories and Models
SSRN Electronic Journal,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 1, 2025
Язык: Английский
Art psychotherapy meets creative AI: an integrative review positioning the role of creative AI in art therapy process
Frontiers in Psychology,
Год журнала:
2025,
Номер
16
Опубликована: Март 20, 2025
Background
The
rise
of
artificial
intelligence
(AI)
is
promising
novel
contributions
to
treatment
and
prevention
mental
ill
health.
While
research
on
the
use
conversational
embodied
AI
in
psychotherapy
practice
developing
rapidly,
it
leaves
gaps
understanding
impact
that
creative
might
have
art
specifically.
A
constructive
dialogue
between
disciplines
needed,
establish
potential
relevance
AI-bases
technologies
therapeutic
involving
artmaking
self-expression.
Methods
This
integrative
review
set
out
explore
whether
how
could
enhance
other
psychological
interventions
utilizing
visual
communication
and/or
artmaking.
transdisciplinary
search
strategy
was
developed
capture
latest
across
diverse
methodologies
stages
development,
including
reviews,
opinion
papers,
prototype
development
empirical
studies.
Findings
Of
over
550
records
screened,
10
papers
were
included
this
review.
Their
key
characteristics
are
mapped
a
matrix
stakeholder
groups
involved,
elements
belonging
therapy
domain,
types
AI-based
involved.
Themes
significance
for
AT
discussed,
cultural
adaptability,
inclusivity
accessibility,
creativity
self-expression,
unpredictability
imperfection.
positioning
diagram
proposed
describe
role
AT.
AI’s
process
oscillates
spectrum
from
being
partner
co-creative
taking
curator
personalized
visuals
with
intent.
Another
dimension
indicates
level
autonomy
–
supportive
tool
an
autonomous
agent.
Examples
each
these
situations
identified
reviewed
literature.
Conclusion
brings
opportunities
new
modes
self-expression
extended
reach
therapy,
over-reliance
presents
risks
process,
loss
agency
clients
therapists.
Implications
technology
relationship
demand
further
investigation,
as
do
its
impacts,
before
can
be
confirmed.
Язык: Английский
Exploring Privacy, Data Painting, and Hidden Biases: Lessons From Contemporary Artists for AI Use in Art Education
Art Education,
Год журнала:
2025,
Номер
78(2), С. 16 - 24
Опубликована: Март 4, 2025
Язык: Английский
“Who” Is the Best Creative Thinking Partner? An Experimental Investigation of Human–Human, Human–Internet, and Human–AI Co‐Creation
The Journal of Creative Behavior,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 10, 2024
ABSTRACT
Recent
research
suggests
that
working
with
generative
artificial
intelligence
(AI),
such
as
ChatGPT,
can
produce
more
creative
outcomes
than
humans
alone.
However,
does
AI
retain
its
edge
when
have
access
to
alternative
information
sources,
another
human
or
the
internet.
We
explored
this
question
in
a
between‐group
experiment
202
German
participants
across
four
conditions
(human–human
dyads,
human–Internet,
and
two
human–AI
groups
basic
specific
instructions)
creativity
tasks
(two
alternate
uses
tasks,
consequences
task,
problem‐solving
task).
Results
showed
human–human
condition
obtained
higher
scores
divergent
thinking
remaining
groups.
No
significant
differences
were
observed
task.
Moreover,
interacting
dyads
made
people
creatively
confident,
an
effect
not
other
In
addition,
we
compared
human‐rated
AI‐based
automated
scoring
(Ocsai).
Interestingly,
notable
discrepancies
emerged
between
assessment
human‐judged
results,
raising
concerns
about
AI's
susceptibility
“elaboration
bias.”
These
findings
highlight
benefits
of
collaboration
for
call
further
studies
reliability
potential
biases
evaluating
performance.
Язык: Английский
Understanding Student Engagement in AI-Powered Online Learning Platforms
Advances in educational technologies and instructional design book series,
Год журнала:
2024,
Номер
unknown, С. 1 - 30
Опубликована: Дек. 27, 2024
Online
learning
has
become
fundamental
to
modern
academic
and
professional
development.
Amidst
its
widespread
adoption,
there
is
increasing
integration
of
artificial
intelligence
(AI)
enhance
the
experience.
Understanding
student
engagement
within
these
AI-powered
digital
platforms
crucial,
as
it
directly
influences
outcomes
satisfaction.
This
chapter
provides
a
narrative
review
key
theories
models
essential
for
analyzing
in
virtual
contexts.
Particularly,
focuses
on
constructivist
theory,
social
cognitive
load
flow
technology
acceptance
model,
self-determination
theory
multimedia
learning,
feedback
intervention
theory.
By
examining
frameworks
through
an
epistemological
lens,
explores
how
knowledge
acquisition,
processing,
principles
interact
AI-enhanced
educational
The
insights
reported
here
can
serve
guide
optimizing
AI
maximize
involvement
efficacy.
Язык: Английский
An Exploration of Machine Learning in Art and Design
Advances in human and social aspects of technology book series,
Год журнала:
2024,
Номер
unknown, С. 205 - 236
Опубликована: Окт. 4, 2024
The
paper
delves
into
the
profound
impact
of
Artificial
Intelligence
(AI)
on
various
creative
domains,
emphasizing
its
transformative
potential
in
reshaping
human-computer
interaction.
It
explores
AI's
evolution
from
traditional
programming
to
Machine
Learning
(ML),
highlighting
ML's
pivotal
role
facilitating
tasks
traditionally
reserved
for
human
intelligence.
text
elucidates
how
ML
algorithms,
such
as
Generative
Adversarial
Networks
(GANs)
and
Neural
Style
Transfer,
have
revolutionized
artistic
creation
by
enabling
computers
generate
visually
captivating
artworks
autonomously.
Furthermore,
it
discusses
democratizing
effect
AI
art
design,
making
tools
techniques
more
accessible
individuals
diverse
backgrounds.
While
acknowledging
ethical
implications
challenges,
bias
interpretability
concerns,
advocates
interdisciplinary
collaboration
address
these
issues
responsibly.
Язык: Английский