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
College Students’ Use and Perceptions of AI Tools in the UAE: Motivations, Ethical Concerns and Institutional Guidelines
Education Sciences,
Год журнала:
2025,
Номер
15(4), С. 461 - 461
Опубликована: Апрель 8, 2025
This
survey
study
aims
to
understand
how
college
students
use
and
perceive
artificial
intelligence
(AI)
tools
in
the
United
Arab
Emirates
(UAE).
It
reports
students’
use,
perceived
motivations,
ethical
concerns
these
variables
are
interrelated.
Responses
(n
=
822)
were
collected
from
seven
universities
five
UAE
emirates.
The
findings
show
widespread
of
AI
(79.6%),
with
various
factors
affecting
perceptions
about
tools.
Students
also
raised
lack
guidance
on
using
Furthermore,
mediation
analyses
revealed
underlining
psychological
mechanisms
pertaining
tool
adoption:
benefits
fully
mediated
relationship
between
knowledge
usefulness
perceptions,
peer
pressure
academic
stress
adoption
intent,
support
for
institutional
regulations.
this
provide
implications
opportunities
challenges
posed
by
higher
education.
is
one
first
empirical
insights
into
tools,
examining
models
explore
complexity
their
concerns,
guidance.
Ultimately,
offers
data
education
institutions
policymakers
student
perspectives
UAE.
Язык: Английский