What influences user continuous intention of digital museum: integrating task-technology fit (TTF) and unified theory of acceptance and usage of technology (UTAUT) models
Heritage Science,
Год журнала:
2024,
Номер
12(1)
Опубликована: Июль 24, 2024
Abstract
Digital
museums
play
a
crucial
role
in
facilitating
users'
access
to
and
exploration
of
digital
cultural
heritage
resources.
However,
exploring
the
factors
influencing
user
engagement
with
these
from
experience
perspective
remains
essential.
This
study
evaluates
driving
continuous
behavioral
intention
towards
museum
Beijing’s
central
axis,
integrating
new
task-technology
fit
(TTF)
unified
theory
acceptance
use
technology
(UTAUT)
models,
introducing
perceived
enjoyment,
design
aesthetics,
value
as
additional
variables.
Analyzing
survey
data
(n
=
377)
utilizing
structural
equation
modeling
(SEM),
identifies
following
key
findings:
(1)
task
characteristics
significantly
impact
TTF;
(2)
performance
expectancy,
effort
all
positively
intention;
(3)
technological
were
observed
expectancy;
but
(4)
TTF
social
influence
did
not
have
no
significant
intention.
These
findings
offer
valuable
insights
into
heritage,
offering
practical
guidance
for
future
development
optimization
museums,
highlighting
specific
implications
suggestions
enhancing
experience.
Язык: Английский
Elderly-Centric Chromatics: Unraveling the Color Preferences and Visual Needs of the Elderly in Smart APP Interfaces
International Journal of Human-Computer Interaction,
Год журнала:
2024,
Номер
unknown, С. 1 - 10
Опубликована: Апрель 15, 2024
The
survey
found
that
many
interactive
interfaces
of
apps
developed
for
the
elderly
on
market
do
not
align
with
visual
characteristics
in
terms
color
configuration
design.
This
mismatch
greatly
diminishes
usability
and
experience
users.
research
offers
a
meticulous
analysis
user
interface
(UI)
design
smart
applications
(APPs)
specifically
tailored
users,
focusing
enhancing
functionality
protecting
users'
physical
&
mental
health
through
scientifically
configured
colors.
Against
backdrop
China's
aging
population,
this
study
implements
Hue,
Saturation,
Lightness
(HSL)
model,
integrates
methodologies
from
design,
theory,
psychology,
statistics.
Through
simulation
experiments,
exhaustive
questionnaires,
in-depth
interviews,
it
was
proposed
an
APP
meets
conditions
warm
hue,
high
lightness,
medium
saturation
HSL
model
is
most
suitable
elderly.
also
reveals
distinct
aversion
among
toward
colors
low
lightness
specific
cool
hues.
Язык: Английский
Exploring the Impact of Social Robot Design Characteristics on Users’ Privacy Concerns: Evidence from PLS-SEM and FsQCA
International Journal of Human-Computer Interaction,
Год журнала:
2024,
Номер
unknown, С. 1 - 22
Опубликована: Сен. 17, 2024
Язык: Английский
The influence of AR virtual clothing design elements on Chinese consumers’ purchase intention: Novelty, craftsmanship, trendiness, and sociability
The Design Journal,
Год журнала:
2024,
Номер
27(5), С. 888 - 910
Опубликована: Июнь 28, 2024
In
the
context
of
burgeoning
digital
fashion
industry,
this
study
investigates
factors
influencing
consumer
purchase
intentions
for
virtual
garments.
Through
literature
review,
constructed
a
theoretical
model
comprising
seven
latent
variables:
trendiness,
novelty,
sociability,
craftsmanship,
perceived
value,
quality,
and
intention,
data
347
surveys
from
China
are
analysed
effectively.
Results
show
that
craftsmanship
not
only
have
direct
positive
impact
on
consumers'
but
also
indirectly
influence
through
mediating
variables
value
quality.
Although
trendiness
itself
did
significant
it
could
affect
These
insights
offer
valuable
implications
design
marketing
strategies
garment
brands,
aiming
to
better
align
with
motives
in
realm.
Язык: Английский
Neuroaesthetic Indicators from the Perspective of Two-Stage Process Theory: N2 and LPP can Predict Aesthetic Judgment of Human–Computer Interfaces
International Journal of Human-Computer Interaction,
Год журнала:
2024,
Номер
unknown, С. 1 - 13
Опубликована: Июнь 21, 2024
This
study
presented
101
participants
with
either
interfaces
or
scrambled
to
purify
the
effects
of
aesthetic
judgment.
Both
N2
and
LPP
showed
a
significant
interaction
between
level
(aesthetic,
medium,
unaesthetic)
image
type
(interface
scramble).
More
specifically,
was
more
enhanced
for
than
medium
unaesthetic
interfaces,
while
three
types
scrambles
no
difference.
Similarly,
positive
but
kinds
images
differences.
The
results
four
classification
models
consistently
that
could
accurately
classify
different
interface
N1
P2.
These
patterns
indicated
both
are
ERP
correlates
appreciation,
indicating
might
evoke
differences
in
early
attentional
later
evaluation
stages.
Язык: Английский
Understanding User Intention to Adopt Augmented Reality Head-Up Display: A Study Based on Design Factors
International Journal of Human-Computer Interaction,
Год журнала:
2024,
Номер
unknown, С. 1 - 19
Опубликована: Ноя. 15, 2024
Augmented
Reality
Head-Up
Display
(AR-HUD)
is
designed
to
engender
immersive
experiences
and
possess
vast
potential
in
enhancing
vehicular
safety.
In
the
context
of
advancing
digital
technologies,
intention
use
such
innovations
represents
a
significant
field
study.
Drawing
on
Perceived
Value
Theory
Stimulus-Organism-Response
(S-O-R)
framework,
this
study
formulates
model
evaluate
user
intentions
regarding
automotive
(AR-HUD).
This
integrates
design
elements,
including
interface
attractiveness,
sense
presence,
controllability,
responsiveness,
along
with
perceived
utilitarian
hedonic
values.
Through
Structural
Equation
Modeling
(SEM)
230
valid
questionnaire
results,
analysis
identifies
both
values
as
pivotal
influencing
AR-HUD
adoption,
value
being
preeminent.
Additionally,
it
evidenced
that
attributes
influence
usage
via
Consequently,
presents
strategies
for
auto
manufacturers
designers
aimed
at
amplifying
advantages
AR-HUD,
thus
fostering
greater
adoption
willingness.
Язык: Английский
Utilizing Multiple Regression Analysis and Entropy Method for Automated Aesthetic Evaluation of Interface Layouts
Symmetry,
Год журнала:
2024,
Номер
16(5), С. 523 - 523
Опубликована: Апрель 26, 2024
Aesthetic
evaluation
of
increasingly
complex
and
personalized
human–computer
interaction
interfaces
serves
as
a
critical
bridge
between
humans
machines,
fundamentally
enhancing
various
factors.
This
study
addresses
the
challenges
in
aesthetic
by
adjusting
existing
methodologies
to
incorporate
seven
metrics:
density,
symmetry,
balance,
proportionality,
uniformity,
simplicity,
sequence.
These
metrics
were
effectively
integrated
into
composite
metric
through
both
multiple
regression
analysis
entropy
methods,
with
efficacy
fitting
methods
validated.
Leveraging
automatic
segmentation
recognition
technology
for
interface
screenshots,
this
research
enables
rapid,
automated
acquisition
evaluations
index,
leading
development
prototype
system
layout
assessment.
Aimed
at
reducing
time,
manpower,
resources
required
evaluation,
enhances
universality,
compatibility,
flexibility
assessments.
It
promotes
integration
any
stage
design
process,
significantly
benefiting
lightweight
rapid
iterative
cycles,
thereby
advancing
field
evaluation.
Язык: Английский