Differences in User Perception of Artificial Intelligence-Driven Chatbots and Traditional Tools in Qualitative Data Analysis
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(2), P. 631 - 631
Published: Jan. 10, 2025
Qualitative
data
analysis
(QDA)
tools
are
essential
for
extracting
insights
from
complex
datasets.
This
study
investigates
researchers’
perceptions
of
the
usability,
user
experience
(UX),
mental
workload,
trust,
task
complexity,
and
emotional
impact
three
tools:
Taguette
1.4.1
(a
traditional
QDA
tool),
ChatGPT
(GPT-4,
December
2023
version),
Gemini
(formerly
Google
Bard,
version).
Participants
(N
=
85),
Master’s
students
Faculty
Electrical
Engineering
Computer
Science
with
prior
in
UX
evaluations
familiarity
AI-based
chatbots,
performed
sentiment
annotation
tasks
using
these
tools,
enabling
a
comparative
evaluation.
The
results
show
that
AI
were
associated
lower
cognitive
effort
more
positive
responses
compared
to
Taguette,
which
caused
higher
frustration
especially
during
cognitively
demanding
tasks.
Among
achieved
highest
usability
score
(SUS
79.03)
was
rated
positively
engagement.
Trust
levels
varied,
preferred
accuracy
confidence.
Despite
differences,
all
consistently
identifying
qualitative
patterns.
These
findings
suggest
AI-driven
can
enhance
experiences
while
emphasizing
need
align
tool
selection
specific
preferences.
Language: Английский
Bridging the AI Divide: Human and Responsible AI in News and Media Industries
Emerging Media,
Journal Year:
2024,
Volume and Issue:
2(3), P. 335 - 346
Published: Sept. 1, 2024
Artificial
intelligence
(AI)
is
revolutionizing
media
and
journalism,
reshaping
processes,
content,
audience
relationship.
This
editorial
report
discusses
the
opportunities
challenges
AI
brings
to
these
industries
raised
by
this
collection
of
studies,
emphasizing
importance
integrating
ethical
principles
human-centric
approaches
its
development.
These
articles
examine
how
reshapes
content
creation,
distribution,
interaction
while
addressing
ethical,
political,
economic
implications
integration.
Key
contributions
include
discussions
on
posed
AI—such
as
bias,
transparency,
accountability—and
need
for
robust
governance
structures
foster
trust
fairness
in
AI-driven
systems.
A
recurring
theme
issue
divide,
highlighting
disparity
access
technologies
between
Global
North
South.
The
special
offers
insights
into
divide
exacerbates
existing
inequalities
production
consumption.
It
also
advocates
interdisciplinary
collaborative
efforts
ensure
AI's
benefits
are
equitably
distributed
across
geographical
socio-economic
contexts.
By
exploring
both
perils
adoption
news
industries,
serves
a
comprehensive
examination
evolving
relationship
AI,
media,
society,
offering
pathways
responsible
innovation
inclusive
worldwide.
Language: Английский