Administrative Sciences,
Journal Year:
2024,
Volume and Issue:
14(8), P. 165 - 165
Published: Aug. 2, 2024
A
myriad
of
types
artificial
intelligence
(AI)
systems—namely
AI-powered
site
search,
augmented
reality,
biometric
data
recognition,
booking
systems,
chatbots,
drones,
kiosks/self-service
screens,
machine
translation,
QR
codes,
robots,
virtual
and
voice
assistants—are
being
used
by
companies
in
the
tourism
hospitality
industry.
How
are
consumers
reacting
to
these
profound
changes?
This
study
aims
address
this
issue
identifying
AI
systems
that
tourists,
purposes
they
for
present,
how
likely
be
future.
also
identify
emotions
(positive
vs.
negative)
tourists
associate
with
use
as
well
advantages
disadvantages
attribute
them.
Considering
exploratory
nature
research,
were
collected
through
an
online
survey
shared
on
social
media,
which
was
available
from
September
December
2023.
Results
show
most
respondents
have
already
several
assign
more
than
their
use,
significantly
positive.
Moreover,
compared
small
number
(13.7%)
who
negative
claim
feel
positive
when
using
evaluate
them
positively
terms
usefulness
hospitality.
They
advantages,
a
greater
diversity
admit
would
diverse
range
contexts
Communications Psychology,
Journal Year:
2025,
Volume and Issue:
3(1)
Published: Jan. 10, 2025
Abstract
Empathy
connects
us
but
strains
under
demanding
settings.
This
study
explored
how
third
parties
evaluated
AI-generated
empathetic
responses
versus
human
in
terms
of
compassion,
responsiveness,
and
overall
preference
across
four
preregistered
experiments.
Participants
(
N
=
556)
read
empathy
prompts
describing
valenced
personal
experiences
compared
the
AI
to
select
non-expert
or
expert
humans.
Results
revealed
that
were
preferred
rated
as
more
compassionate
responders
(Study
1).
pattern
results
remained
when
author
identity
was
made
transparent
2),
crisis
3),
disclosed
all
participants
4).
Third
perceived
being
responsive—conveying
understanding,
validation,
care—which
partially
explained
AI’s
higher
compassion
ratings
Study
4.
These
findings
suggest
has
robust
utility
contexts
requiring
interaction,
with
potential
address
increasing
need
for
supportive
communication
contexts.
Acta Psychologica,
Journal Year:
2024,
Volume and Issue:
248, P. 104376 - 104376
Published: July 1, 2024
The
positive
impact
of
Artificial
Intelligence
(AI)
on
second
language
(L2)
learning
is
well-documented.
An
individual's
attitude
toward
AI
significantly
influences
its
adoption.
Despite
this,
no
specific
scale
has
been
designed
to
measure
this
attitude,
particularly
in
the
Chinese
context.
To
address
gap,
our
study
aims
construct
AI-Assisted
L2
Learning
Attitude
Scale
for
College
Students
(AL2AS-CCS)
and
evaluate
reliability,
validity,
relationship
with
proficiency.
Our
research
comprises
two
phases,
each
involving
separate
samples.
In
Phase
One
(Sample
1:
n
=
379),
we
conducted
exploratory
factor
analysis
(EFA)
determine
structure
AL2AS-CCS.
resulting
two-factor
consists
12
items,
categorized
into
cognitive
behavioral
components.
Two
2:
429),
performed
confirmatory
(CFA)
validate
assess
model
fit.
CFA
Sample
2
confirmed
demonstrated
a
good
Additionally,
AL2AS-CCS
exhibited
high
criterion
internal
consistency,
cross-gender
invariance.
findings
suggest
that
valid
measurement
tool
assessing
college
students'
AI-assisted
learning.
Moreover,
students
were
discovered
maintain
moderately
correlation
was
identified
between
their
BMC Medical Education,
Journal Year:
2025,
Volume and Issue:
25(1)
Published: Jan. 6, 2025
Artificial
intelligence
(AI)
has
gained
significant
attention
in
dentistry
due
to
its
potential
revolutionize
practice
and
improve
patient
outcomes.
However,
dentists'
views
attitudes
toward
technology
can
affect
the
application
of
AI.
This
perception
attitude
be
affected
by
personality
traits
individuals.
study
aims
evaluate
perceptions
students
cross-sectional
was
conducted
on
dental
at
Ordu
University
Faculty
Dentistry,
involving
a
sample
83
students.
The
utilized
Big
Five
50
Test
5-point
Likert
scale
gather
data
20
statements
regarding
AI
dentistry.
Data
were
analyzed
using
IBM
SPSS
Statistics
software,
chi-square
test
employed
assess
relationship
between
their
towards
artificial
intelligence,
as
well
gender
intelligence.
Statistical
significance
set
P
<
0.05.
involved
participants,
with
29
male
54
female
participants.
most
common
Openness
Agreeableness,
whereas
least
Extraversion.
Participants
found
useful
believed
it
could
help
dentists
radiographs.
agreed
statement
that
they
would
trust
more
than
dentist
evaluating
radiograph
results.
A
statistically
difference
personal
expressions
comparing
Males
familiar
females.
vary
based
traits.
Developing
educational
strategies
tailored
these
foster
positive
integration
into
practice.
Empirical Studies of the Arts,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 15, 2025
Contextual
information
can
shape
the
aesthetic
judgements
of
music
compositions.
Recently,
a
study
proposed
existence
an
AI
composer
bias;
namely,
listeners
tend
to
like
less
when
they
think
(or
are
told)
that
it
was
composed
by
AI.
In
this
online
(
N
=
120),
we
used
cross-over
experimental
design
verify
whether
such
bias
extends
audiovisual
performance.
The
participants
rated
three
videos
classic
piano
performances
in
two
versions
with
identical
audio:
one
professional
pianist
who
pretended
play,
and
playing
automatically,
allegedly
thanks
As
hypothesised,
as
more
likeable,
engaging,
higher
emotional
valence,
quality
pieces
were
“performed”
pianist.
Notably,
these
effects
insensitive
participants’
musical
expertise
but
moderated
their
attitudes
toward
Interestingly,
asked
what
differences
had
found
between
renditions,
confabulated
about
rhythm,
tempo
variations,
dynamics,
dissonances,
pointing
underlying
psychological
processes,
expectations
beliefs
humanness.
Implications
for
Aesthetics
Psychology
Art
discussed.
