Artificial Intelligence Review,
Год журнала:
2023,
Номер
56(S1), С. 445 - 482
Опубликована: Июнь 27, 2023
Abstract
The
growing
prevalence
of
interactions
between
humans
and
machines,
coupled
with
the
rapid
development
intelligent
human-like
features
in
technology,
necessitates
considering
potential
implications
that
an
increasingly
inter-personal
interaction
style
might
have
on
human
behavior.
Particularly,
since
human–human
are
fundamentally
affected
by
politeness
rules,
several
researchers
investigating
if
such
social
norms
some
also
within
human–machine
interactions.
This
paper
reviews
scientific
works
dealing
issues
a
variety
artificial
intelligence
systems,
as
smart
devices,
robots,
digital
assistants,
self-driving
cars.
aims
to
analyze
results
answer
questions
why
technological
devices
should
behave
politely
toward
humans,
but
above
all,
beings
be
polite
device.
As
result
analysis,
this
wants
outline
future
research
directions
for
design
more
effective,
socially
competent,
acceptable,
trustworthy
systems.
Journal of Business Research,
Год журнала:
2022,
Номер
146, С. 489 - 503
Опубликована: Апрель 5, 2022
The
Retail
Service
Robot
(RSR)
is
a
humanoid
robot
that
uses
AI
service
automation
to
provide
customized
shopping
assistance.
Based
upon
Computers-Are-Social-Actors
theory,
this
study
investigates:
(1)
way
RSRs'
usefulness,
social
capability,
and
appearance
facilitate
Human-Robot
Interaction
(HRI);
(2)
whether
anxiety
toward
robots
inhibits
the
relations
between
facilitators
HRI,
(3)
HRI
affects
anticipated
quality
ultimately
acceptance
of
RSRs.
incorporates
interviews,
video
clip
stimuli,
empirical
data
collection
(n
=
1362)
in
fashion,
technology,
food-service.
results
reveal
such
as
influence
attitudes
positively,
which
turn,
predict
anticipation
better
greater
RSRs,
demonstrate
moderating
role
HRI.
findings
theoretical
practical
implications
for
adoption
RSRs
development
effective
Human Communication Research,
Год журнала:
2022,
Номер
48(3), С. 404 - 429
Опубликована: Апрель 21, 2022
Abstract
Use
of
conversational
artificial
intelligence
(AI),
such
as
humanlike
social
chatbots,
is
increasing.
While
a
growing
number
people
expected
to
engage
in
intimate
relationships
with
theories
and
knowledge
human–AI
friendship
remain
limited.
As
friendships
AI
may
alter
our
understanding
itself,
this
study
aims
explore
the
meaning
through
developed
conceptual
framework.
We
conducted
19
in-depth
interviews
who
have
chatbot
Replika
uncover
how
they
understand
perceive
it
compares
human
friendship.
Our
results
indicate
that
while
be
understood
similar
ways
human–human
friendship,
nature
also
alters
notion
multiple
ways,
allowing
for
more
personalized
tailored
user’s
needs.
Cyberpsychology Behavior and Social Networking,
Год журнала:
2021,
Номер
24(5), С. 294 - 299
Опубликована: Янв. 12, 2021
Humanoid
social
robots
(HSRs)
are
human-made
technologies
that
can
take
physical
or
digital
form,
resemble
people
in
form
behavior
to
some
degree,
and
designed
interact
with
people.
A
common
assumption
is
should
mimic
humans,
such
human–robot
interaction
(HRI)
closely
resembles
human-human
(i.e.,
interpersonal)
interaction.
Research
often
framed
from
the
rules
theories
apply
interpersonal
HRI
(e.g.,
computers
actors
framework).
Here,
we
challenge
these
assumptions
consider
more
deeply
relevance
applicability
of
our
knowledge
about
personal
relationships
robots.
First,
describe
typical
characteristics
HSRs
available
consumers
currently,
elaborating
relevant
understanding
interactions
as
anthropomorphism
behavioral
anthropomorphism.
We
also
affordances
modern
(persistence,
personalization,
responsiveness,
contingency,
conversational
control)
how
align
human
capacities
expectations.
Next,
present
predominant
whose
primary
claims
foundational
relationship
development
(social
exchange
theories,
including
resource
theory,
interdependence
equity
penetration
theory).
whether
viable
frameworks
for
studying
given
their
theoretical
claims.
conclude
by
providing
suggestions
researchers
designers,
alternatives
equating
relationships.
Journal of Retailing,
Год журнала:
2022,
Номер
98(2), С. 199 - 208
Опубликована: Май 9, 2022
This
manuscript
draws
attention
to
the
dawn
of
Fifth
Industrial
Revolution
(5IR)
and
highlights
its
potential
for
addressing
a
host
issues
within
retail
service
domains.
With
retailing
perspective,
authors
outline
meaning
5IR,
according
2
×
framework
that
categorizes
retailers
providers
by
their
embrace
human–machine
collaborations.
They
also
propose
an
expanded
definition
stakeholders
in
5IR
(companies,
employees,
customers,
society).
Merging
digital,
physical,
biological
technologies
promises
enhanced
well-being
societal
actors
across
board.
By
outlining
these
likely
implications
services,
this
article
establishes
roadmap
how
(r)evolution
is
progress
offers
set
key
research
questions
emerge
as
result.
Educational Psychology Review,
Год журнала:
2021,
Номер
34(1), С. 1 - 38
Опубликована: Июнь 30, 2021
Abstract
For
a
long
time,
research
on
individuals
learning
in
digital
environments
was
primarily
based
cognitive-oriented
theories.
This
paper
aims
at
providing
evidence
that
social
processes
affect
individual
with
materials.
Based
these
theories
and
empirical
results,
social-processes-augmented
theory
is
suggested:
the
Cognitive-Affective-Social
Theory
of
Learning
Environments
(CASTLE).
CASTLE
postulates
cues
materials
activate
schemata
learners
leading
to
enhanced
(para-)social,
motivational,
emotional,
metacognitive
processes.
To
substantiate
this
theory,
socio-cognitive
are
used,
which
predict
influences
Besides,
previous
findings
presented
assuming
rising
number
materials,
influence
increases.
Finally,
consequences
regarding
design
media
discussed.
Journal of Retailing and Consumer Services,
Год журнала:
2023,
Номер
76, С. 103560 - 103560
Опубликована: Сен. 10, 2023
Focusing
on
the
application
of
artificial
intelligence,
this
study
investigates
impact
emotional
display
user
engagement
with
computer-generated
imagery
influencers
through
lens
computers
are
social
actors
(CASA)
framework.
It
breaks
down
emotions
into
individual
muscle
movements
(i.e.,
facial
action
units).
By
using
recognition
based
1,028
pictures
shared
by
Lil
Miquela,
findings
disclose
significance
happiness,
sadness,
disgust,
and
surprise
in
triggering
when
promoting
diverse
products
visually
captivating
content.
The
highlight
importance
balancing
intensity
movement
to
streamline
interplay
between
technology,
human
behaviour,
digital
communication.
Frontiers in Psychology,
Год журнала:
2023,
Номер
14
Опубликована: Фев. 24, 2023
Virtual
influencers
are
gaining
prominence
as
a
way
of
attracting
people’s
attention
on
social
media,
but
limited
research
has
been
conducted
this
subject.
In
research,
we
explore
the
effects
human-like
virtual
(HVIs)
vs.
anime-like
(AVIs)
and
sponsorship
disclosure
message
credibility
perception
attitudes.
Conducted
with
2
(virtual
influencer
type:
HVI
AVI)
x
(sponsorship
disclosure:
absent
present)
between-subjects
experiment,
our
findings
suggest
that
endorsements
produce
greater
attitudes
than
AVI
endorsements,
superior
effect
HVIs
(vs.
AVIs)
vanishes
when
is
disclosed.
The
results
also
show
plays
significant
mediating
role
only
not
We
believe
offers
interesting
insights
to
both
researchers
practitioners
topic
influencers.
Abstract
Recent
advances
in
natural
language
generation
(NLG),
such
as
public
accessibility
to
ChatGPT,
have
sparked
polarised
debates
about
the
societal
impact
of
this
technology.
Popular
discourse
tends
towards
either
overoptimistic
hype
that
touts
radically
transformative
potentials
these
systems
or
pessimistic
critique
their
technical
limitations
and
general
‘stupidity’.
Surprisingly,
largely
overlooked
exegetical
capacities
systems,
which
for
many
users
seem
be
producing
meaningful
texts.
In
paper,
we
take
an
interdisciplinary
approach
combines
hermeneutics—the
study
meaning
interpretation—with
prompt
engineering—task
descriptions
embedded
input
NLG
systems—to
extent
a
specific
system,
produces
texts
hermeneutic
value.
We
design
prompts
with
goal
optimising
hermeneuticity
rather
than
mere
factual
accuracy,
apply
them
four
different
use
cases
combining
humans
ChatGPT
readers
writers.
most
cases,
readable
respond
clearly
our
requests.
However,
increasing
specificity
prompts’
task
leads
intensified
neutrality,
indicating
ChatGPT’s
optimisation
accuracy
may
actually
detrimental
its
output.
Asia Pacific Journal of Marketing and Logistics,
Год журнала:
2023,
Номер
35(12), С. 3117 - 3137
Опубликована: Июль 14, 2023
Purpose
This
study
aims
to
examine
the
impact
of
AI
service
robots
on
restaurant
customers'
engagement
and
acceptance
moderating
role
robot
anthropomorphism
relationship
between
quality
customer
engagement.
Design/methodology/approach
Using
a
three-wave
time-lagged
design,
416
customers
robots-enabled
restaurants
participated
in
study.
Mplus
was
used
hypotheses.
Findings
The
results
confirmed
that
perception
regarding
automation,
personalization,
efficiency
precision
determine
engagement,
which
further
influences
robots.
Additionally,
moderates
relationships
terms
confirms
robots-customer
contributes
better
Practical
implications
proposed
framework
can
be
as
diagnostic
tool
enhance
settings.
research
provides
guidelines
owners
employ
front-line
services
provide
quality,
ultimately
enhancing
acceptance.
Originality/value
fills
gap
literature
by
investigating
influence
with
effect
an
emerging
market
context.
