The
factors
hypothesised
in
the
conceptual
model
on
chatbotChatbot
agency
are
tested
an
empirical
study
hereby.
We
have
invited
consumers
who
had
used
a
at
least
once
their
daily
life
to
complete
survey,
sharing
opinion
about
experienceExperience
they
concerning
agency.
chatbotsChatbot
were
contact
customer
services
91%
of
cases,
demonstrating
increasing
role
agents
as
front
service
line
providers.
results
from
regression
modelling
clear
showing
that:
(1)
InformativenessInformativeness
and
accuracyAccuracy
predetermine
functionalityFunctionality
perception.
(2)
higher
social
presenceSocial
presence
was
perceived
be,
enjoymentEnjoyment
interacting
with
chatbotChatbot.
(3)
FunctionalityFunctionality
positive
impact
ease
useEase
use
qualityQuality
perception,
thus,
satisfactionSatisfaction.
(4)
greater
satisfactionSatisfaction
was,
brand
loyalty
intention
future.
Interestingly,
however,
personal
carePersonal
care
did
not
play
hereby,
opposite
proposition
we
had.
CompetenceCompetence
load
functionalityFunctionality,
but
modulated
enjoymentEnjoyment.
Given,
asked
userUser
after
actual
situation,
reasonable
question
arising
hereby
is
whether
currently
available
market
offer
desired
competenceCompetence.
This
serious
challenging
UXUser
Experience
(UX)
design
reconsider
contemporary
AIArtificial
Intelligence
(AI)
systems,
ensure
that
these
provide
agency,
distinguishable
intelligence,
empathyEmpathy,
interaction.
Computers and Education Artificial Intelligence,
Год журнала:
2024,
Номер
6, С. 100225 - 100225
Опубликована: Апрель 18, 2024
Artificial
intelligence
technologies
are
rapidly
advancing.
As
part
of
this
development,
large
language
models
(LLMs)
increasingly
being
used
when
humans
interact
with
systems
based
on
artificial
(AI),
posing
both
new
opportunities
and
challenges.
When
interacting
LLM-based
AI
system
in
a
goal-directed
manner,
prompt
engineering
has
evolved
as
skill
formulating
precise
well-structured
instructions
to
elicit
desired
responses
or
information
from
the
LLM,
optimizing
effectiveness
interaction.
However,
research
perspectives
non-experts
using
through
how
literacy
affects
prompting
behavior
is
lacking.
This
aspect
particularly
important
considering
implications
LLMs
context
higher
education.
In
present
study,
we
address
issue,
introduce
skill-based
approach
engineering,
explicitly
consider
role
non-experts'
(students)
their
skills.
We
also
provide
qualitative
insights
into
students'
intuitive
behaviors
towards
systems.
The
results
show
that
higher-quality
skills
predict
quality
LLM
output,
suggesting
indeed
required
for
use
generative
tools.
addition,
certain
aspects
can
play
targeted
adaptation
within
We,
therefore,
argue
integration
educational
content
current
curricula
enable
hybrid
intelligent
society
which
students
effectively
tools
such
ChatGPT.
Computers in Human Behavior,
Год журнала:
2023,
Номер
149, С. 107954 - 107954
Опубликована: Сен. 19, 2023
Although
chatbots
are
oftentimes
used
in
customer
service
encounters,
interactions
perceived
as
not
satisfactory.
One
key
aspect
for
designing
is
the
use
of
anthropomorphic
design
elements.
In
this
experimental
study,
we
examine
two
chatbot
elements
personification,
which
includes
a
human-like
appearance,
and
social
orientation
communication
style,
means
more
sensitive
extensive
communication.
We
tested
influence
on
presence,
satisfaction,
trust
empathy
towards
chatbot.
First,
results
show
significant
both
presence.
Second,
our
findings
illustrate
that
presence
influences
trusting
beliefs,
empathy,
satisfaction.
Third,
acts
mediator
satisfaction
with
Our
implications
provide
better
understanding
when
short-term
interactions,
offer
actionable
practice
enable
effective
implementations.
Journal of Business Research,
Год журнала:
2024,
Номер
180, С. 114737 - 114737
Опубликована: Май 24, 2024
Generative
Artificial
Intelligence
(GAI)
is
witnessing
a
lot
of
adoption
across
industries,
but
literature
yet
to
fully
document
the
nuances
these
applications.
We
develop
comprehensive
framework
for
understanding
factors
that
affect
trust
in
online
grocery
shopping
(OGS)
using
GAI
chatbots.
Our
exploratory
study
was
conducted
via
interviews,
which
helped
build
our
model.
integrate
Elaboration
Likelihood
Model
(ELM)
and
Status
Quo
Bias
(SQB)
theory
Unified
Framework
Trust
on
Technology
Platforms.
In
confirmatory
study,
by
analyzing
372
responses
from
users,
structural
equation
modelling
(SEM),
we
initially
validate
path
Subsequently,
used
fuzzy
set
qualitative
comparative
analysis
(fsQCA)
check
causal
combinations
explain
different
levels.
Apart
perceived
regret
avoidance,
all
other
had
significant
effect
attitude
trust.
Perceived
anthropomorphism
moderated
associations
between
interaction
quality,
credibility,
threat,
attitude.
Journal of Business Research,
Год журнала:
2024,
Номер
177, С. 114646 - 114646
Опубликована: Апрель 1, 2024
A
virtual
influencer
(VI)
is
a
computer-generated,
imagery-based
digital
character.
It
has
become
one
of
the
hottest
marketing
trends,
motivating
researchers
to
investigate
how
consumers
perceive
VIs.
However,
consumers'
emotional
attachment
and
benefit
seeking
behaviour
different
types
VIs
remained
under-investigated.
Therefore,
considering
level
perceived
humanness
appearance
realism,
this
research
examines
differs
across
three
VI
(i.e.,
mimic-human
VI,
animated-human
non-human
VI).
We
further
propose
that
may
influence
consumer
through
social
presence
because,
specifically,
when
shows
higher
presence,
stronger
will
result.
The
experimental
studies
lend
support
our
theorization.
This
provides
insights
into
in
literature
extends
context
theory.
Advances in marketing, customer relationship management, and e-services book series,
Год журнала:
2024,
Номер
unknown, С. 153 - 172
Опубликована: Июль 26, 2024
Artificial
intelligence
is
considered
a
multi-layered
and
multidimensional
disruptive
innovation.
Many
studies
have
been
conducted
to
understand
the
impacts
of
AI,
particularly
its
social,
legal,
economic,
environmental,
business
impacts.
The
use
artificial
increasing
in
almost
every
industry
today,
it
expected
change
service
industry,
particular.
This
book
chapter
examines
development
financial
services
discusses
customer
adoption
criteria
for
social
robots.
characteristics
advantages
chat
bots
robo
advisors
were
analyzed
detail.
argues
that
chatbots
robo-advisors
are
new
actors
banking
their
role
ecosystem
impact
on
strategies.
treats
long-term
effects
AI
provides
framework
understanding
perceptions
services.
