Consumer Autonomy in Generative AI Services: The Role of Task Difficulty and AI Design Elements in Enhancing Trust, Satisfaction, and Usage Intention
Behavioral Sciences,
Год журнала:
2025,
Номер
15(4), С. 534 - 534
Опубликована: Апрель 15, 2025
As
generative
AI
services
become
increasingly
integrated
into
consumer
decision
making,
concerns
have
grown
regarding
their
influence
on
autonomy—the
extent
to
which
individuals
retain
independent
control
over
AI-assisted
decisions.
Although
these
offer
efficiency
and
convenience,
they
can
simultaneously
constrain
potentially
impacting
trust,
satisfaction,
usage
intention.
This
study
investigates
the
role
of
perceived
autonomy
in
shaping
responses,
specifically
examining
how
task
difficulty
(Study
1)
service
design
elements—explainability,
feedback,
shared
responsibility
2)—influence
perceptions
subsequent
outcomes.
Using
two
scenario-based
experiments
involving
a
total
708
participants,
results
reveal
that
significantly
enhances
particularly
contexts
high
difficulty.
Among
tested
interventions,
emerged
as
most
effective
enhancing
autonomy,
long-term
engagement,
whereas
explainability
feedback
alone
showed
limited
impact.
These
findings
underscore
importance
designing
actively
support
agency
through
user-involved
decision-making
frameworks
rather
than
relying
solely
passive
informational
transparency.
Theoretical
implications
for
interactions
are
discussed,
along
with
practical
recommendations
consumer-centered
services.
Язык: Английский
Speak and shop! Transforming retail experience with AI voice assistants
Internet Research,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 16, 2025
Purpose
This
study
outlines
the
process
by
which
consumers
establish
brand
loyalty
through
use
of
AI
voice
assistants.
Design/methodology/approach
adopted
combined
importance-performance
map
analysis
(cIPMA)
to
examine
research
model.
Findings
The
results
indicated
that
all
human-like
and
technological
attributes
significantly
impact
parasocial
interactions
(except
for
system
quality).
cIPMA
showed
information
quality,
perceived
anthropomorphism
interoperability
are
critical
fostering
consumers’
power
experience
but
currently
underperforming.
Parasocial
show
high
importance
low
performance
in
driving
deep
structure
usage.
Practical
implications
Businesses
should
invest
developing
more
human-like,
intelligent
interactive
Retailers
developers
enhance
anthropomorphic
design,
integrate
advanced
NLP
emotion
recognition
improve
algorithmic
accuracy
facilitate
seamless
engaging
user
interactions.
Practitioners
must
balance
security
experience,
ensuring
transparency
without
compromising
convenience.
Originality/value
offers
a
comprehensive
framework
understanding
consumer
behavior
response
assistants
how
these
foster
loyalty.
Язык: Английский
Navigating Uncertainty: Exploring Consumer Acceptance of Artificial Intelligence Under Self-Threats and High-Stakes Decisions
Technology in Society,
Год журнала:
2024,
Номер
unknown, С. 102732 - 102732
Опубликована: Окт. 1, 2024
Язык: Английский
CIRCULAR PRACTICES IN THE HOSPITALITY SECTOR REGARDING FOOD WASTE
Journal of Cleaner Production,
Год журнала:
2024,
Номер
472, С. 143452 - 143452
Опубликована: Авг. 23, 2024
Язык: Английский
How the Presence of Employee Avatars Affects Metaverse Shopping Behavior
Journal of Advertising Research,
Год журнала:
2024,
Номер
unknown, С. PAP_017 - PAP_017
Опубликована: Июль 16, 2024
Brands
are
increasingly
using
the
metaverse
to
promote
sales
of
products
and
services,
but
social
influence
avatars
in
that
context
is
largely
unknown.
Grounded
impact
theory
impression
management
literature,
this
research
investigates
retail
store
employee
avatar
presence
on
consumer
behavior.
Two
between-subjects
studies
from
laboratory
online
settings
uncover
consumers'
aversive
responses
presence—living
(human)
nonliving
(robot)—on
several
key
outcomes.
This
negative
effect
only
emerges
embarrassing
shopping
settings,
such
as
purchase
condoms
adult
diapers,
not
ordinary
(nonembarrassing)
settings.
Язык: Английский
The form of AI-driven luxury: how generative AI (GAI) and Large Language Models (LLMs) are transforming the creative process
Journal of Marketing Management,
Год журнала:
2024,
Номер
unknown, С. 1 - 20
Опубликована: Дек. 4, 2024
This
paper
aims
to
provide
a
comprehensive
understanding
of
the
extent
which
generative
AI
(GAI)
tools
and
Large
Language
Models
(LLMs)
can
design
new
creative
meaningful
products
in
luxury
industry.
To
this
end,
research
involves
three
qualitative
studies
understand
cognitive
emotional
response
towards
outcome.
Results
reveal
that
consumers
perceived
GAI-designed
reflect
reinforce
essence
symbolic
values
brands,
their
perception
is
influenced
by
knowledge
GAI
authorship
product.
Finally,
our
findings
open
possible
scenarios
based
on
high/low
creativity
employment
for
product
vs.
quality
manufacturing
materials
product/brand
(namely
matrix).
Язык: Английский