Insights into Gen Z online food ordering behavior: leveraging eye-tracking and AI for cognitive analysis
Benchmarking An International Journal,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 28, 2025
Purpose
The
purpose
of
this
paper
is
to
gain
deeper
understanding
the
online
food
ordering
behavior
Generation
Z
when
online,
and
their
attention
towards
nutrition
information
provided
on
menus.
Their
state
hunger
was
used
as
a
moderating
variable
also
understand
if
altered
level
attention.
Design/methodology/approach
Data
were
collected
from
181
university
students
belonging
Gen
in
city
Pune
India,
with
help
Tobii
(Model:
X2-30),
screen-based
eye-tracking
device.
Participants
invited
through
offered
participate.
sample
comprised
both,
male
female
different
states
being
hungry
versus
satiated.
An
AI-powered
visual
analytics
tool
analyze
relevant
metrics.
Findings
Calorie
nutritional
menus
did
not
alter
consumers’
even
among
those
who
claimed
be
conscious
calorie
intake.
This
suggests
an
attitude–behavior
gap
consciousness.
same
case
participants
claiming
satiated,
compared
hungry.
Research
limitations/implications
study
highlights
need
for
innovative
strategies
effectively
communicate
Z.
Marketers
should
consider
redesigning
menu
styles
content
make
details
more
engaging
intuitive.
Furthermore,
leveraging
neuromarketing
tools
can
identify
subconscious
consumer
preferences.
Health
professionals
policymakers
use
these
insights
bridge
consciousness,
ensuring
that
awareness
campaigns
resonate
better
Z,
regardless
state.
Practical
implications
accentuate
re-assess
style
targeting
India
draw
greater
Social
reveals
critical
pays
information,
emphasizing
socially
impactful
foster
healthier
choices.
Educational
institutions
public
health
leverage
findings
design
effective
education
programs
tailored
Z’s
By
drivers
choices,
society
promote
eating
habits
combat
rising
issues
like
obesity
malnutrition.
Moreover,
incorporating
technology-driven
into
initiatives
improve
relevance
impact
interventions,
encouraging
health-conscious
future
generation.
Originality/value
Eye-tracking
AI-based
has
been
first
time
comprehend
attitudes
behaviors
displayed
by
delve
variables
consciousness
hunger.
Neuromarketing
consumers.
Язык: Английский
Human-Centred Design Meets AI-Driven Algorithms: Comparative Analysis of Political Campaign Branding in the Harris–Trump Presidential Campaigns
Informatics,
Год журнала:
2025,
Номер
12(1), С. 30 - 30
Опубликована: Март 18, 2025
This
study
compared
the
efficacy
of
AI
neuroscience
tools
versus
traditional
design
methods
in
enhancing
viewer
engagement
with
political
campaign
materials
from
Harris–Trump
presidential
campaigns.
Utilising
a
mixed-methods
approach,
we
integrated
quantitative
analysis
employing
AI’s
eye-tracking
consumer
behaviour
metrics
(Predict,
trained
on
180,000
screenings)
an
AI-LLM
neuroscience-based
marketing
assistant
(CoPilot),
67,429
areas
interest
(AOIs).
The
original
flyer,
Al
Jazeera
article,
served
as
baseline.
Professional
graphic
designers
created
three
redesigned
versions,
and
one
was
done
using
recommendations
CoPilot.
Metrics
including
total
attention,
engagement,
start
end
percentage
seen
were
evaluated
across
13–14
(AOIs)
for
each
design.
Results
indicated
that
human-enhanced
Design
1
achieved
superior
overall
performance
multiple
metrics.
While
AI-enhanced
3
demonstrated
strengths
optimising
specific
AOIs,
it
did
not
consistently
outperform
human-touched
designs,
particularly
text-heavy
areas.
underscores
complex
interplay
between
algorithms
human-centred
branding,
offering
valuable
insights
future
research
neuromarketing
communication
strategies.
Python,
Pandas,
Matplotlib,
Seaborn,
Spearman
correlation,
Kruskal–Wallis
H-test
employed
data
visualisation.
Язык: Английский
Exploring EFL learners' positive emotions, technostress and psychological well‐being in AI‐assisted language instruction with/without teacher support in Malaysia
British Educational Research Journal,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 23, 2025
Abstract
Despite
the
growing
interest
in
artificial
intelligence
(AI)‐assisted
language
learning,
limited
research
has
explored
its
impact
on
learners'
emotional
experiences,
technostress
and
psychological
well‐being
English
as
a
Foreign
Language
(EFL)
contexts.
This
study
aimed
to
address
this
gap
by
investigating
how
AI‐assisted
instruction,
with
without
teacher
support,
influences
these
critical
dimensions
among
EFL
learners
Malaysia.
To
achieve
this,
convergent
parallel
mixed‐methods
design
was
employed,
involving
98
Malaysian
female
who
were
divided
into
three
groups:
two
experimental
groups
(EGs)
one
control
group
(CG).
The
first
EG
received
instruction
while
second
engaged
support.
CG
followed
traditional
teaching
methods.
All
participants
pre‐tested
measures
of
positive
emotions,
before
undergoing
their
respective
instructional
treatments.
Post‐tests
administered
after
intervention,
semi‐structured
interviews
conducted
subset
from
EGs
gather
qualitative
insights
experiences.
findings
revealed
that
AI
support
demonstrated
significantly
higher
levels
lower
enhanced
compared
both
CG.
Qualitative
analysis
further
highlighted
key
themes
for
group:
teacher‐mediated
security
affect;
buffering
AI‐induced
technostress;
teacher–AI
synergy
enhancing
well‐being.
In
contrast,
emphasised
autonomy‐driven
motivation,
technological
resilience
pronounced
craving
guidance.
highlight
importance
integrating
tools
foster
more
balanced
effective
learning
environment.
Язык: Английский
A foundation model–based framework for unsupervised gaze anomaly detection
Knowledge-Based Systems,
Год журнала:
2025,
Номер
unknown, С. 113774 - 113774
Опубликована: Май 1, 2025
Язык: Английский
Trends at the Intersection of Eye Tracking, Machine Learning, Distance and Online Learning: A Bibliometric Analysis
Journal of Data Analysis and Information Processing,
Год журнала:
2025,
Номер
13(02), С. 213 - 240
Опубликована: Янв. 1, 2025
Язык: Английский
AI-Powered Eye Tracking for Bias Detection in Online Course Reviews: A Udemy Case Study
Big Data and Cognitive Computing,
Год журнала:
2024,
Номер
8(11), С. 144 - 144
Опубликована: Окт. 25, 2024
The
rapid
growth
of
e-learning
increased
the
use
digital
reviews
to
influence
consumer
purchases.
In
a
pioneering
approach,
we
employed
AI-powered
eye
tracking
evaluate
accuracy
predictions
in
forecasting
purchasing
patterns.
This
study
examined
customer
perceptions
negative,
positive,
and
neutral
by
analysing
emotional
valence,
review
content,
perceived
credibility.
We
measured
‘Attention’,
‘Engagement’,
‘Clarity’,
‘Cognitive
Demand’,
‘Time
Spent’,
‘Percentage
Seen’,
‘Focus’,
focusing
on
differences
across
categories
understand
their
effects
customers
correlation
between
these
metrics
navigation
other
screen
areas,
indicating
intent.
Our
goal
was
assess
predictive
power
online
future
buying
behaviour.
selected
Udemy
courses,
platform
with
over
70
million
learners.
Predict
(version
1.0.),
developed
Stanford
University,
used
algorithm
neuroscience
database
(n
=
180,000)
from
Tobii
(Tobii
X2-30,
Pro
AB,
Danderyd,
Sweden).
utilised
R
programming,
ANOVA,
t-tests
for
analysis.
concludes
that
AI
neuromarketing
techniques
feedback
analysis
offer
valuable
insights
educators
tailor
strategies
based
susceptibility,
thereby
sparking
interest
innovative
possibilities
using
technology
neuromarketing.
Язык: Английский
Green Investments Promotions and Future Trends in Neuromarketing and Sustainable Finance
Advances in business strategy and competitive advantage book series,
Год журнала:
2024,
Номер
unknown, С. 245 - 284
Опубликована: Окт. 18, 2024
Green
investments
provide
a
major
effect
on
neuromarketing
by
increasing
consumer
engagement
in
sustainable
companies
selecting
for
activities
that
improve
permanent
ecosystem
and
fiscal
resilience.
It
analyzes
the
application
of
investment,
to
carry
out
studies
finance
green
investment.
This
chapter
offers
an
extensive
context
while
describing
neuromarketing,
how
it
might
help
investors,
researchers
enable
beginning
new
era.
The
findings
showed
positive
correlation
between
age
promotion
investment
trends.
tries
find
these
complex
intricacies
encourage
discussion
educate
general
people,
researchers,
scholars,
advertisers
since
they
offer
understanding
several
applications
tools,
along
with
their
importance
making
choices;
such
awareness
may
commercial
efficacy
finance.
Язык: Английский
A Bibliometric Analysis of Smart Learning Environments Under the Digital Pedagogy Paradigm
Advances in educational technologies and instructional design book series,
Год журнала:
2024,
Номер
unknown, С. 1 - 26
Опубликована: Дек. 20, 2024
Focusing
on
the
identification
of
important
themes,
new
trends,
and
essential
elements
that
define
subject,
this
report
offers
a
thorough
bibliometric
analysis
research
terrain
surrounding
Smart
Learning
Environments
(SLEs).
Three
main
clusters
were
found
by
means
investigation
keyword
co-occurrence
network
visualization:
learner-centric
technologies
methods,
artificial
intelligence
adaptive
learning
systems,
assessment
results.
Driven
developments
in
mobile
learning,
virtual
reality,
intelligence,
analytics,
study
exposes
growing
focus
tailored,
immersive,
data-driven
educational
experiences.
The
also
looks
at
affecting
SLE
adoption:
technology
infrastructure,
instructional
efficacy,
personal
attitudes,
organizational
support.
results
underline
dynamic
changing
character
provide
understanding
how
these
settings
may
be
efficiently
used
into
teaching
strategies
to
improve
outcomes
for
learning.
Язык: Английский