Generative
artificial
intelligence
(GenAI)
has
surged
in
popularity
with
the
implementation
of
conversational
user
interfaces.
The
possibility
to
engage
natural
conversations
GenAI
thus
constitutes
a
promising
countermeasure
algorithm
aversion,
or
general
preference
for
humans
over
algorithms,
which
hinders
effective
utilization
often
superior
algorithmic
output.
In
this
study,
we
experimentally
test
influence
explanations
and
interactivity
on
advice
taking
from
GenAIs.
judge-advisor
system,
472
participants
(313
female,
154
male,
5
diverse;
median
age
23
years)
solved
series
ten
estimation
tasks
access
pre-generated
output
ChatGPT.
control
condition,
only
numerical
was
provided
as
advice.
Participants
treatment
conditions
were
additionally
with,
could
request,
detailed
explanation
rationale
underlying
ChatGPT’s
judgments.
weight
positively
influenced
by
both
opportunity
interact
receipt
an
explanation.
Moreover,
actively
requesting
significantly
enhanced
positive
effect
compared
trials
forgone.
However,
there
no
evidence
that
weighting
whether
requested.
inherent
explanatory
capabilities
interactively
it
independently
increase
users’
taking.
This
finding
underscores
potential
interfaces
large
language
models
such
ChatGPT
improve
individuals’
augmented
judgment
decision-making,
but
also
poses
threat
human
autonomy
interactions
systems.
Communications Psychology,
Год журнала:
2025,
Номер
3(1)
Опубликована: Янв. 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.
European Public & Social Innovation Review,
Год журнала:
2025,
Номер
10, С. 1 - 21
Опубликована: Янв. 22, 2025
Introducción:
Las
narrativas
digitales
se
han
convertido
en
una
herramienta
crucial
para
el
comercio
electrónico
la
última
década,
influyendo
las
percepciones
y
decisiones
de
los
consumidores
mediante
creación
vínculos
emocionales
profundos
transmisión
propuesta
valor
identidad
marca.
Metodología:
Se
emplea
revisión
alcance
analizar
producción
académica
sobre
relación
entre
electrónico,
abarcando
30
estudios
relevantes
década.
Resultados:
identificaron
cuatro
clústeres
principales:
con
consumidores,
redes
sociales,
modelos
negocio
tecnología.
Estos
muestran
cómo
influyen
fidelización,
intención
compra
actitudes
hacia
Discusión:
conectan
emocionalmente
generando
experiencias
personalizadas
reforzando
Es
importante
seguir
explorando
interacción
mejorar
comprensión
su
impacto
comportamiento
del
consumidor
estrategias
empresariales.
Conclusiones:
proporciona
visión
integral
destacando
áreas
clave
futuras
investigaciones
necesidad
marketing
más
efectivas
basadas
estas
narrativas.
