Modelling continuous intention to use generative artificial intelligence as an educational tool among university students: findings from PLS-SEM and ANN
Journal of Computers in Education,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 27, 2024
Language: Английский
Exploring factors that influence graduate students’ intention to use generative artificial intelligence in academic research: PLS-SEM and fsQCA methods
Xiang Yu,
No information about this author
Yuanqing Hu,
No information about this author
Yongbin Hu
No information about this author
et al.
Education and Information Technologies,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 10, 2025
Language: Английский
Exploring the Potential Avenues for Consumer Acceptance of Artificial Intelligence in the Hotel Industry
Mechanisms and machine science,
Journal Year:
2025,
Volume and Issue:
unknown, P. 710 - 721
Published: Jan. 1, 2025
Language: Английский
Unveiling the Complexity of Designers’ Intention to Use Generative AI in Corporate Product Design: A Grounded Theory and fsQCA
Li He,
No information about this author
Yuqing Liu,
No information about this author
Qihan Guo
No information about this author
et al.
Systems,
Journal Year:
2025,
Volume and Issue:
13(4), P. 275 - 275
Published: April 9, 2025
While
generative
artificial
intelligence
(Gen
AI)
is
accelerating
digital
transformation
and
innovation
in
corporate
product
design
(CPD),
limited
research
has
explored
how
designers
adopt
this
technology.
This
study
aims
to
identify
the
key
factors
causal
configurations
that
influence
designers’
intentions
Gen
AI
CPD.
involved
327
in-service
as
participants,
employed
semi-structured
interviews
a
questionnaire
collect
data,
applied
grounded
theory
fsQCA
analyze
data.
The
findings
indicate
following:
(1)
Personal
innovativeness,
technological
anxiety,
perceived
usefulness,
task–technology
fit,
risk,
social
influence,
organizational
support
are
influencing
adoption
of
AI.
(2)
None
these
constitute
necessary
condition
for
(3)
High
intention
results
from
interaction
multiple
factors,
which
can
be
categorized
into
three
driving
logics:
“task
demand-driven”,
“organizational
environment-driven”,
“individual
characteristics-driven”.
It
recommended
managers
establish
an
training
framework,
foster
supportive
environment,
implement
tailored
strategies
facilitate
integration
new
technologies.
clarifies
CPD
provides
framework
companies
effectively
integrate
systems
design.
Language: Английский
Persist or Abandon? Exploring Chinese Users’ Continuance Intentions Toward AI Painting Tools
Junping Xu,
No information about this author
Xuanjia Ren,
No information about this author
Yuanyuan Huang
No information about this author
et al.
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 135469 - 135488
Published: Jan. 1, 2024
With
the
rapid
development
of
Artificial
Intelligence
(AI)
technology
in
art
field,
AI
painting
tools
(AIPT)
have
attracted
a
high
interest
creation
art.
However,
factors
affecting
Chinese
users'
continued
or
interrupted
use
AIPTs
not
been
adequately
studied.
This
study
builds
new
theoretical
model
based
on
perspective
user
experience,
combining
Expectation
Confirmation
Model
(ECM)
and
Technology
Acceptance
(TAM),
with
aim
deeply
exploring
continuance
intention
to
AIPT
process.
We
collected
data
from
532
users
that
regarded
as
production
tool
performed
analysis
testing
using
SPSS
27
Partial
Least
Squares
Structural
Equation
Modeling
(PLS-SEM)
Smartpls
4.
The
results
showed
positive
trend
overall
continuous
AIPT.
Among
14
hypotheses
proposed,
11
were
validated
3
rejected.
emotion
experience
(EE)
has
most
significant
effect
(CI),
valuing
emotional
involvement
experience.
is
followed
by
satisfaction
(SAT),
attitude
(ATT),
perceived
usefulness
(PU),
trust
(PT),
while
intelligence
(PI)
novelty
(PN)
indirectly
affect
CI
through
mediating
variables
PT
SAT.
findings
this
only
contribute
both
insights
into
process,
comprehensive
robust
discussion
future
direction
Furthermore,
it
offers
valuable
technical
solutions
practical
guidance
for
developers,
underscoring
importance
considering
needs
when
optimizing
technology.
It
also
improves
sustained
usage
facilitates
co-creation
human
beings
AI,
which
provides
essential
information
further
commercialization
field.
Language: Английский
Research on designers’ behavioral intention toward Artificial Intelligence-Aided Design: integrating the Theory of Planned Behavior and the Technology Acceptance Model
Jinchuan Jiao,
No information about this author
Xiangnan Cao
No information about this author
Frontiers in Psychology,
Journal Year:
2024,
Volume and Issue:
15
Published: Sept. 16, 2024
Artificial
Intelligence-Aided
Design
(AIAD)
has
numerous
advantages
and
tremendous
benefits
for
designers.
However,
not
all
designers
are
keen
to
integrate
AIAD
into
their
workflow,
intention
use
remains
a
research
gap.
This
study
explores
designers’
adoption
of
AIAD,
utilizing
the
Theory
Planned
Behavior
(TPB)
Technology
Acceptance
Model
(TAM).
Drawing
on
extant
literature,
we
proposed
model
tested
it
using
data
from
392
Chinese
The
results
indicate
that
in
terms
(a)
attitudes
toward
(
b
=
0.259,
p
<
0.001),
subjective
norms
0.363,
perceived
behavioral
control
0.556,
0.001)
have
significant
positive
impacts
AIAD;
(b)
usefulness
0.910,
correlation
with
while
ease
−0.126,
0.05)
exerts
no
impact
attitudes;
(c)
knowledge
level
−0.149,
0.01)
negative
moderating
effect
them.
present
then
discusses
its
practical
significance.
Language: Английский
The application and impact of artificial intelligence technology in graphic design: A Critical Interpretive Synthesis
Hong Li,
No information about this author
Tao Xue,
No information about this author
Aijia Zhang
No information about this author
et al.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(21), P. e40037 - e40037
Published: Nov. 1, 2024
In
the
field
of
graphic
design,
application
Artificial
Intelligence
(AI)
is
reshaping
design
process.
This
study
employs
Critical
Interpretive
Synthesis
(CIS)
approach
to
explore
impacts
and
challenges
AI
on
design.
Through
a
comprehensive
review
33
papers,
this
research
reveals
four
paradigms
in
design:
Driven
Design
Automation
Generation
(AIDAG),
Assisted
Graphic
Image
Processing
(AGDIP),
Art
Creative
Processes
(AACDP),
Enhanced
Visual
Attention
Emotional
Response
Modeling
(AVERM).
These
demonstrate
multidimensional
role
ranging
from
automation
emotional
interaction.
The
findings
suggest
that
serves
dual
as
both
tool
medium
for
innovation.
not
only
enhances
efficiency
process
but
also
fosters
designers'
creative
thinking
understanding
users'
needs.
proposes
path
process,
providing
effective
ideas
future
workflows.
Language: Английский
Is pen-to-paper the buggy whip of design? Assessing the use of ai tools for design sketching
Alexander “Freddie” Holliman
No information about this author
Proceedings of DRS,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 16, 2024
Sketching
is
quick
and
effective,
however
with
the
advent
of
generative
AI,
do
current
generation
novice
designers
have
an
alternative?This
paper
compares
use
sketching
text-to-image
AI
tools
to
produce
initial
concept
images
("sketches")
by
designers.This
will
identify
viability
potential
adoption
as
a
replacement,
gauge
willingness
designers,
replacing
sketching.This
study
conventional
image
using
first
year
product
design
students
record
brainstormed
concepts
both
tools,
this
various
attributes
both,
including
ability
represent
designer's
intentions.The
findings
suggest
that
at
present,
continue
prefer
75%
believing
it
more
accurate
designers'
intentions
59.62%
easier
use.
Language: Английский
Explore the Fashion Industry’s Behavioral Intention to Use Artificial Intelligence Generated Content Tools Based on the UTAUT Model
International Journal of Human-Computer Interaction,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 16
Published: Dec. 12, 2024
Language: Английский
Optimization of Visual Communication Design Courses in Chinese Colleges and Universities under the Background of Digitalization
Yan Qiu
No information about this author
Journal of Education Humanities and Social Sciences,
Journal Year:
2024,
Volume and Issue:
45, P. 69 - 74
Published: Dec. 26, 2024
The
development
of
digitalization
has
had
an
impact
on
all
aspects
our
lives,
including
education.
In
China,
digital
technology
such
as
interactive
whiteboards
and
artificial
intelligence
been
gradually
introduced,
opening
up
new
opportunities
for
the
advancement
education
Therefore,
universities
need
to
update
their
visual
communication
design
curriculum
keep
with
society's
needs.
This
paper
primarily
utilizes
a
literature
review
analyze
use
tools
in
courses
both
domestically
internationally.
It
also
examines
various
impacts
these
teaching
discusses
potential
application
China.
proposes
integrating
emerging
technologies,
advanced
tools,
interdisciplinary
into
curriculum.
media
technologies
can
boost
students'
creativity
classroom
engagement,
ultimately
enhancing
effectiveness
colleges
universities.
Incorporating
add
diversity
equip
students
relevant
skills
age.
Additionally,
it
is
recommended
collaborate
companies
projects
provide
real-world
experiences
beyond
classroom.
Language: Английский