Healthcare professionals and the public sentiment analysis of ChatGPT in clinical practice
Lizhen Lu,
Yueli Zhu,
Jiekai Yang
и другие.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Янв. 7, 2025
To
explore
the
attitudes
of
healthcare
professionals
and
public
on
applying
ChatGPT
in
clinical
practice.
The
successful
application
practice
depends
technical
performance
critically
perceptions
non-healthcare
healthcare.
This
study
has
a
qualitative
design
based
artificial
intelligence.
was
divided
into
five
steps:
data
collection,
cleaning,
validation
relevance,
sentiment
analysis,
content
analysis
using
K-means
algorithm.
comprised
3130
comments
amounting
to
1,593,650
words.
dictionary
method
showed
positive
negative
emotions
such
as
anger,
disgust,
fear,
sadness,
surprise,
good,
happy
emotions.
Healthcare
prioritized
ChatGPT's
efficiency
but
raised
ethical
accountability
concerns,
while
valued
its
accessibility
emotional
support
expressed
worries
about
privacy
misinformation.
Bridging
these
perspectives
by
improving
reliability,
safeguarding
privacy,
clearly
defining
role
is
essential
for
practical
integration
Язык: Английский
Response to the critiques (and encouragements) on our critique of motivation constructs
Behavioral and Brain Sciences,
Год журнала:
2025,
Номер
48
Опубликована: Янв. 1, 2025
Abstract
The
target
article
argued
that
motivation
constructs
are
treated
as
black
boxes
and
called
for
work
specifies
the
mental
computational
processes
underlying
motivated
behavior.
In
response
to
critical
commentaries,
we
clarify
our
philosophical
standpoint,
elaborate
on
meaning
of
why
past
was
not
sufficient,
discuss
opportunities
expand
scope
framework.
Язык: Английский
Effort paradox redux: Rethinking how effort shapes social behavior
Advances in experimental social psychology,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 1, 2025
Язык: Английский
The adaptive value of behavioral inhibition
Current Opinion in Behavioral Sciences,
Год журнала:
2025,
Номер
63, С. 101523 - 101523
Опубликована: Апрель 17, 2025
Язык: Английский
Understanding cognitive control in depression: the interactive role of emotion, expected efficacy and reward
BMC Psychiatry,
Год журнала:
2025,
Номер
25(1)
Опубликована: Апрель 21, 2025
Difficulties
in
cognitive
control
over
negative
emotional
stimuli
are
a
key
characteristic
of
depression.
The
Expected
Value
Control
(EVC)
provides
framework
for
understanding
how
is
allocated,
focusing
on
the
motivational
factors
efficacy
and
reward.
Efficacy
likelihood
that
an
effort
will
result
specific
result,
while
reward
value
assigned
to
outcome.
However,
impact
emotion
estimation
EVC
has
not
been
explored.
We
investigated
interplay
between
motivation,
using
theoretical
framework,
utilized
within-between-subject
design.
subjects
were
healthy
controls
(n
=
31)
those
with
depression
36),
who
underwent
clinical
diagnostic
interview,
completed
General
Health
Questionnaire-12,
Beck
Depression
Inventory-II,
participated
incentivized
Emotional
Stroop
Paradigm,
whereby
participants
received
cues
indicating
different
levels
(low
vs.
high)
prior
targeted
stimuli.
Significant
interactions
detected
a)
group
×
valence
efficacy,
b)
regarding
accuracy
rates
Task.
Follow-up
analyses
revealed
during
high-efficacy
trials,
demonstrated
significantly
greater
than
Depressed
both
positive
neutral
In
low-efficacy
Controls
also
more
accurate
when
responding
Additionally,
performed
worse
high-reward
no
significant
difference
was
two
groups
low-reward
trials.
can
influence
assessment
individuals
may
have
difficulties
cues.
Further
research
necessary
incorporate
into
framework.
Язык: Английский
Neural and Computational Mechanisms of Motivation and Decision-making
Journal of Cognitive Neuroscience,
Год журнала:
2024,
Номер
36(12), С. 2822 - 2830
Опубликована: Янв. 1, 2024
Motivation
is
often
thought
to
enhance
adaptive
decision-making
by
biasing
actions
toward
rewards
and
away
from
punishment.
Emerging
evidence,
however,
points
a
more
nuanced
view
whereby
motivation
can
both
impair
different
aspects
of
decision-making.
Model-based
approaches
have
gained
prominence
over
the
past
decade
for
developing
precise
mechanistic
explanations
how
incentives
impact
goal-directed
behavior.
In
this
Special
Focus,
we
highlight
three
studies
that
demonstrate
computational
frameworks
help
decompose
decision
processes
into
constituent
cognitive
components,
as
well
formalize
when
motivational
factors
(e.g.,
monetary
rewards)
influence
specific
processes,
strategies,
self-report
measures.
Finally,
I
conclude
with
provocative
suggestion
based
on
recent
advances
in
field:
organisms
do
not
merely
seek
maximize
expected
value
extrinsic
incentives.
Instead,
they
may
be
optimizing
achieve
desired
internal
state
homeostasis,
effort,
affect).
Future
investigation
such
will
fruitful
endeavor
unlocking
cognitive,
computational,
neural
mechanisms
motivated
Язык: Английский