Information Development,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 21, 2025
The
study
aimed
to
identify
the
factors
influencing
adoption
of
artificial
intelligence
applications
in
libraries,
find
out
associated
challenges
with
AI
apps,
and
develop
a
framework
effectively
implement
tools
libraries.
A
systematic
literature
review
(SLR)
was
applied
address
study's
objectives.
30
most
relevant
research
papers
published
impact
factor
journals
were
selected
conduct
study.
Findings
showed
that
four
major
influenced
These
included
transformation
library
services,
provision
innovative
librarians
users’
satisfaction,
technological
revolution.
manifested
challenges,
skills
knowledge
barriers,
financial
organizational
cultural
barriers
caused
for
adopt
apps
has
added
valuable
existing
body
knowledge.
It
developed
on
evidence
based
datasets
libraries
efficiently.
Information Development,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 13, 2025
The
widespread
use
and
adoption
of
Artificial
Intelligence
(AI)
applications
among
university
students
has
drastically
transformed
the
educational
landscape.
Recognizing
importance
this
transformation,
study
aims
to
investigate
factors
affecting
AI
Pakistani
research
scholars.
This
used
an
extended
version
unified
theory
acceptance
technology
model
innovative
resistance
theory.
data
were
collected
from
235
scholars
through
a
questionnaire.
Descriptive
statistics
multiple
linear
regression
test
analyze
data.
found
that
various
for
purposes
such
as
ChatGPT,
Grammarly,
ChatPDF,
SciSpace.
personal
innovativeness,
performance
expectancy,
social
influence,
trust
significantly
influence
scholars’
behavioral
intention
applications.
In
contrast,
impact
effort
facilitating
conditions,
innovation
on
students’
tools
was
statistically
insignificant.
findings
offer
actionable
insights
educators,
policymakers,
developers
aiming
enhance
in
higher
education.
International Journal of Human-Computer Interaction,
Год журнала:
2024,
Номер
unknown, С. 1 - 25
Опубликована: Июнь 3, 2024
Conversational
agents
are
growing
in
popularity,
and
as
such
they
must
provide
a
good
user
experience
meet
the
needs
of
users.
Yet,
how
to
measure
conversational
AI
scenario
remains
an
open
urgent
question
be
solved,
which
may
hinder
further
empirical
studies
on
human-agent
interactions.
In
fact,
there
have
been
very
few
that
explore
users
perceive
interacting
with
these
agents,
is
important
ensure
their
sustainability.
Accordingly,
this
work,
we
used
subjective
technique
by
following
measurement
approach
develop
standardized
instrument/scale
called
Agent
Scale
for
User
Experience.
terms
methodology,
mixed-method
involving
iterative
process
spanning
across
six
different
(three
qualitative
three
quantitative)
at
points
time
purpose
dimension
identification,
item
generation
subsequent
refinements.
As
part
conducted
Systematic
Literature
Review,
semi-structured
interviews
expert
interviews.
For
quantitative
lab-based
experiment
was
performed
pre-test,
followed
two
online
surveys
pilot
testing
scale
development.
The
initially
identified
total
13
distinct
dimensions
418
items.
Finally,
Exploratory
Factor
Analysis
main
survey
resulted
9
(practicality
perception,
proficiency,
humanness,
sentiment,
robustness,
etiquette
&
mannerism,
personality,
anthropomorphism,
ease
use)
34
This
supplemented
conducting
another
Confirmatory
establishing
reliability
validity
proposed
scale,
together
checking
model-fit
indices.
All
had
sufficient
validity,
reasonable
level
statistical
reliability.
Some
like
mannerism
show
uniqueness
from
traditional
usage
factors
commonly
while
evaluating
graphical
interface-based
systems.
work
fills
gap
lack
research
classify
provides
reference
practitioners
designers
developing
continuously
improving
experience.
Journal of Open Innovation Technology Market and Complexity,
Год журнала:
2024,
Номер
10(3), С. 100327 - 100327
Опубликована: Июнь 19, 2024
Using
a
modified
version
of
TAM,
this
study
investigates
the
factors
that
impact
ChatGPT
usage
intentions
among
college
students,
with
personalization
acting
as
moderator.
A
structured
questionnaire
was
designed
for
data
collection
part
quantitative
procedure.
Smart
PLS
4
utilized
analysis.
The
results
showed
social
influence
had
no
effect
on
predicted
perceived
usefulness
and
ease
use,
but
awareness
enjoyment
did.
willingness
to
utilize
based
how
beneficial
easy
it
seen
be.
association
between
intent
use
not
affected
by
personalization,
however,
relationship
intention
was.
suggested
several
recommendations
colleges
universities
regarding
AI
tools'
incorporation
in
education.
Information Development,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 21, 2025
The
study
aimed
to
identify
the
factors
influencing
adoption
of
artificial
intelligence
applications
in
libraries,
find
out
associated
challenges
with
AI
apps,
and
develop
a
framework
effectively
implement
tools
libraries.
A
systematic
literature
review
(SLR)
was
applied
address
study's
objectives.
30
most
relevant
research
papers
published
impact
factor
journals
were
selected
conduct
study.
Findings
showed
that
four
major
influenced
These
included
transformation
library
services,
provision
innovative
librarians
users’
satisfaction,
technological
revolution.
manifested
challenges,
skills
knowledge
barriers,
financial
organizational
cultural
barriers
caused
for
adopt
apps
has
added
valuable
existing
body
knowledge.
It
developed
on
evidence
based
datasets
libraries
efficiently.
