Journal of Infrastructure Policy and Development,
Journal Year:
2024,
Volume and Issue:
8(6), P. 4086 - 4086
Published: July 3, 2024
Purpose:
The
major
objective
of
this
study
is
to
measure
the
impact
various
attributes,
such
as
social
attraction,
physical
and
task
attraction
on
para-social
relationships.
also
seeks
how
relationship
mediates
association
between
three
attributes
(above-mentioned)
perceived
credibility
informational
influence,
consumers’
intention
purchase
banking
products.
Study
design/methodology:
PLS-SEM
has
been
used
it
believed
be
most
suited
for
due
multivariate
non-normality
in
data,
small
sample
size.
Data
collected
using
5-point
Likert
scale
from
approximately
151
respondents,
who
were
selected
non-random
sampling
method
based
purposive
coupled
with
convenience-based
sampling.
data
was
January
2023
August
2023.
Findings:
Largely,
findings
reveal
that
both
attractions
do
have
a
positive
relationship,
further
leading
influence.
Notably,
influence
lead
intentions
products,
albeit
use
artificial
intelligence-based
chatbots
digital
assistants.
Originality:
This
possibly
among
first-ever
studies
extending
theory
purchasing
products
services
virtual
Behavioral Sciences,
Journal Year:
2025,
Volume and Issue:
15(2), P. 117 - 117
Published: Jan. 23, 2025
Artificial
intelligence
(AI)
chatbots
have
been
widely
adopted
in
customer
service,
playing
a
crucial
role
improving
service
efficiency,
enhancing
user
experience,
and
elevating
satisfaction
levels.
Current
research
on
the
impact
of
consumers’
purchase
decisions
primarily
focuses
linguistic
communication
features,
with
limited
exploration
into
non-verbal
social
cues
employed
by
chatbots.
By
conducting
three
scenario-based
experiments,
this
study
investigates
mechanisms
through
which
chatbot
response
strategies
(proactive
vs.
reactive)
use
emojis
(yes
no)
influence
users’
intention.
The
findings
suggest
that
proactive
are
more
effective
strengthening
intention
compared
to
reactive
strategies.
Psychological
distance
performance
expectancy
serve
as
significant
mediators
relationship.
Additionally,
moderates
effect
psychological
distance,
while
its
moderating
is
not
significant.
This
offers
new
insights
chatbots,
revealing
underlying
contributing
evidence
visual
symbols
factors.
Furthermore,
provide
practical
recommendations
for
businesses
optimizing
interaction
enhance
experience.
Journal of Research in Interactive Marketing,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 5, 2025
Purpose
Drawing
on
the
technology
affordance
and
affinity
theories,
this
study
proposes
a
framework
explaining
antecedents
consequences
of
customers’
smart
experiences
(CSEs)
in
artificial
intelligence
(AI)
chatbot
context.
Design/methodology/approach
The
quantitative
approach
employing
an
online
survey
was
adopted
to
obtain
data
from
users
(
N
=
761)
analyzed
using
structural
equation
modeling.
Findings
Results
show
that
affordances,
including
interactivity
(two-way
communication,
active
control
synchronicity),
selectivity
(customization
localization),
information
(argument
quality
source
credibility),
association
(connectivity
sense
safety)
navigation
positively
affect
CSEs
(hedonic
cognitive),
leading
customer
stickiness
through
affinity.
Originality/value
Our
provides
evidence
supports
extends
affordances
lens
by
highlighting
roles
specific
contribute
positive-smart
experience
subsequently
enhances
Intelligent Pharmacy,
Journal Year:
2024,
Volume and Issue:
2(3), P. 392 - 414
Published: March 23, 2024
The
modern
language
generation
model
ChatGPT,
created
by
Open
Artificial
Intelligence
(AI),
is
recognised
for
its
capacity
to
comprehend
context
and
produce
pertinent
content.
This
built
on
the
transformer
architecture,
which
enables
it
process
massive
volumes
of
data
text
that
both
cohesive
illuminating.
Service
a
crucial
component
everywhere
as
provides
basis
establishing
client
rapport
offering
aid
support.
In
healthcare,
application
ChatGPT
patient
service
support
has
been
one
most
significant
advances
in
recent
years.
can
help
overcome
obstacles
improve
satisfaction
facilitating
communication
with
healthcare
personnel
understanding
care.
It
assist
enhancing
entire
experience
personalised
information
patients
making
more
straightforward
them
communicate
professionals.
Its
goal
be
expedite
streamline
promptly
accurately
responding
customers.
Businesses
all
sizes
increasingly
use
since
allows
provide
24/7
customer
without
requiring
human
contact.
paper
briefly
discusses
need
better
services.
Various
perspectives
improving
services
through
are
discussed.
article
also
discussed
major
key
enablers
refining
assistance.
Further,
identifies
critical
areas
service.
With
ability
handle
several
requests
simultaneously,
respond
quickly
questions,
gain
knowledge
from
every
interaction,
revolutionising
accessibility
compatibility
various
channels
make
desirable
solution
businesses
looking
As
technology
advances,
positioned
become
an
essential
tool
wishing
speedy
customised
Although
may
give
convincing
solutions,
chance
providing
accurate
updated
poses
problem
usage
jobs
up-to-date
information.
future,
will
efficient
due
AI.
Advances in hospitality, tourism and the services industry (AHTSI) book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 16
Published: July 26, 2024
This
study
explores
the
capacity
of
Artificial
Intelligence
(AI)
to
revolutionize
customization
marketing
tactics.
delves
into
fundamental
principles
customer
engagement
and
investigates
capability
AI
provide
relevant
focused
experiences.
can
personalize
communications
by
monitoring
behavior
demographics,
which
improves
influences
decision-making.
theory
use
game
mechanics
engage
incentivize
users.
intelligence
has
ability
tailor
gamified
experiences
personalizing
rewards
challenges
according
specific
tastes
particular
customers.
leads
a
deeper
more
meaningful
degree
engagement.
Algorithms
have
forecast
individual
preferences
actions
evaluating
vast
amounts
consumer
data.
allows
for
development
content
that
connects
with
certain
groupings,
provides
product
suggestions,
delivers
advertising.
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
1(2), P. 21 - 21
Published: April 30, 2024
Kecerdasan
Buatan
(AI)
telah
menjadi
fokus
utama
dalam
membentuk
masa
depan
teknologi
dan
pemecahan
masalah
di
berbagai
bidang,
termasuk
konteks
pengambilan
keputusan
publik.
Tujuan
dari
penelitian
ini
adalah
untuk
mengeksplorasi
kemungkinan
implementasi
AI
domain
publik
menemukan
sejauh
mana
dapat
bertanggung
jawab
mendukung
atau
mengambil
alih
tertentu
lembaga
pemerintahan.
Penelitian
menggunakan
teori
oleh
Herbert
Simon
tentang
Bounded
Rationality
(rasionalitas
terbatas).
metode
kualitatif
berupa
studi
literatur
(literature
review)
dengan
menganalisis
artikel,
jurnal,
terkait
penerapan
kecerdasan
buatan
Melalui
tinjauan
yang
komprehensif,
ditemukan
bahwa
mengoptimalkan
proses
pengumpulan,
analisis,
interpretasi
data
kompleks,
serta
memfasilitasi
prediksi
lebih
akurat.
Strategi
efektif
mencakup
pengembangan
model
kuat,
pelatihan
sumber
daya
manusia
berkualitas,
perancangan
kebijakan
memperhatikan
aspek
etika
keamanan
data.
Hasil
memberikan
pemahaman
baik
potensi
meningkatkan
efisiensi
menyoroti
pentingnya
integrasi
bidang
administrasi
Kesimpulannya,
penggunaan
sangat
menjanjikan
sistem
responsif,
adaptif,
efisien
era
digital
ini.
Cogent Business & Management,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: Oct. 25, 2024
While
there
has
been
a
significant
increase
in
the
use
of
artificial
intelligence
(AI)
marketing,
limited
research
focused
on
user
experience
AI-powered
chatbots
and
their
implications
developing
countries.
Therefore,
this
study
developed
model
to
test
interrelationship
between
gratification,
intention
accept
recommendations
from
AI
chatbots,
continuance
using
Uses
Gratification
(U&G)
theory.
This
gathered
data
410
customers
commercial
banks
Tanzania,
employing
quantitative
survey
approach
that
was
analyzed
structural
equation
modeling.
The
results
indicate
gratification
dimensions
significantly
drive
through
chatbots.
recommends
marketers
ensure
serving
as
service
agents,
offer
enjoyment
emotional
support
enhance
intention.
proposed
tested
is
among
very
few
studies
examine
chatbots'
intentions
context
introduces
mechanism
can
promote
when
fueled
by
gratification.
Nutrients,
Journal Year:
2025,
Volume and Issue:
17(2), P. 206 - 206
Published: Jan. 7, 2025
Background/Objectives:
With
the
rise
of
artificial
intelligence
(AI)
in
nutrition
and
healthcare,
AI-driven
chatbots
are
increasingly
recognised
as
potential
tools
for
generating
personalised
diet
plans.
This
study
aimed
to
evaluate
capabilities
three
popular
chatbots-Gemini,
Microsoft
Copilot,
ChatGPT
4.0-in
designing
weight-loss
plans
across
varying
caloric
levels
genders.
Methods:
comparative
assessed
quality
meal
generated
by
a
calorie
range
1400-1800
kcal,
using
identical
prompts
tailored
male
female
profiles.
The
Diet
Quality
Index-International
(DQI-I)
was
used
dimensions
variety,
adequacy,
moderation,
balance.
Caloric
accuracy
analysed
calculating
percentage
deviations
from
requested
targets
categorising
discrepancies
into
defined
ranges.
Results:
All
achieved
high
total
DQI-I
scores
(DQI-I
>
70),
demonstrating
satisfactory
overall
quality.
However,
balance
sub-scores
related
macronutrient
fatty
acid
distributions
were
consistently
lowest,
showing
critical
limitation
AI
algorithms.
4.0
exhibited
highest
precision
adherence,
while
Gemini
showed
greater
variability,
with
over
50%
its
deviating
target
more
than
20%.
Conclusions:
show
significant
promise
nutritionally
adequate
diverse
Nevertheless,
gaps
achieving
optimal
emphasise
need
algorithmic
refinement.
While
these
have
revolutionise
offering
precise
inclusive
dietary
solutions,
they
should
enhance
rather
replace
expertise
dietetic
professionals.
Kinesiology Review,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 13
Published: Jan. 1, 2025
Background
:
Artificial-intelligence
(AI)
-powered
chatbots
have
been
increasingly
utilized
in
interventions
to
promote
physical
activity
and
healthy
lifestyle
behaviors.
This
systematic
review
explored
the
effectiveness
of
these
interventions.
Methods
A
was
conducted
using
comprehensive
searches
across
PubMed,
Web
Science,
EBSCOhost,
Cochrane
Library.
Studies
included
were
peer-reviewed
intervention
studies
utilizing
AI-powered
designed
activity,
from
2010
onward
published
English.
Results
Of
11,347
articles
identified,
eight
between
2018
2023
met
inclusion
criteria.
Using
randomized
controlled
trials
or
pre–post
designs,
involved
sample
sizes
15
116
participants.
Interventions
chatbots,
voice-activated
assistants,
health-coaching
applications
remote
settings.
Primary
outcomes
focused
on
metrics
like
moderate
vigorous
step
counts,
with
secondary
covering
quality
life
engagement.
Intervention
varied,
some
showing
significant
improvements
while
others
had
mixed
results.
Study
assessment
revealed
generalizability,
data
collection,
missing
data-handling
limitations.
Conclusion
show
promise
as
practical
tools
for
promoting
activity.
They
offer
personalized,
engaging,
scalable
that
can
be
integrated
into
broader
public
health
strategies.
Despite
their
promise,
variability
inconsistencies
study
underscore
an
urgent
need
future
research
standardize
designs
advance
AI
techniques
more
reliable
outcomes.
Cureus,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 22, 2025
Artificial
intelligence
(AI)
is
being
used
by
an
increasing
number
of
conversational
agents,
sometimes
known
as
chatbots.
In
applications
related
to
health
care,
such
those
that
educate
and
assist
patients
with
chronic
illnesses,
which
are
among
the
main
causes
mortality
in
21st
century,
they
becoming
more
common.
Chatbots
powered
AI
allows
for
frequent
efficient
engagement
these
patients.
This
systematic
review
aimed
examine
traits,
medical
conditions,
architectures
agents
based
on
artificial
specifically
made
illnesses.
We
searched
four
databases
(Scopus,
Web
Science,
PubMed,
Cumulative
Index
Nursing
Allied
Health
Literature
[CINAHL])
search
relevant
studies
using
specific
inclusion
exclusion
criteria.
Among
databases,
we
found
386
were
screened
duplicates
then
assessed
included
10
most
this
systemic
review.
There
a
dearth
research
AI-based
interactive
what
little
available
primarily
quasi-experimental
studies,
including
chatbots
prototype
stages
employ
natural
language
processing
(NLP)
enable
multimodal
user
engagement.
Future
could
benefit
from
comparing
evaluating
bots
within
between
various
disorders
evidence-based
methodology.
addition
improving
comparability,
structured
development
standardized
evaluation
procedures
improve
caliber
created
certain
diseases
their
subsequent
effects
target
