Towards AI-Powered Applications: The Development of a Personalised LLM for HRI and HCI
Sensors,
Год журнала:
2025,
Номер
25(7), С. 2024 - 2024
Опубликована: Март 24, 2025
In
this
work,
we
propose
a
novel
Personalised
Large
Language
Model
(PLLM)
agent,
designed
to
advance
the
integration
and
adaptation
of
large
language
models
within
field
human-robot
interaction
human-computer
interaction.
While
research
in
has
primarily
focused
on
technical
deployment
LLMs,
critical
academic
challenges
persist
regarding
their
ability
adapt
dynamically
user-specific
contexts
evolving
environments.
To
address
fundamental
gap,
present
methodology
for
personalising
LLMs
using
domain-specific
data
tests
NeuroSense
EEG
dataset.
By
enabling
personalised
interpretation,
our
approach
promotes
conventional
implementation
strategies,
contributing
ongoing
AI
adaptability
user-centric
application.
Furthermore,
study
engages
with
broader
ethical
dimensions
PLLM,
critically
discussing
issues
generalisability
privacy
concerns
research.
Our
findings
demonstrate
usability
PLLM
scenario
real-world
settings,
highlighting
its
applicability
across
diverse
domains,
including
healthcare,
education,
assistive
technologies.
We
believe
proposed
system
represents
significant
step
towards
personalisation,
offering
substantial
benefits
range
fields.
Язык: Английский
Generative AI in Higher Education Constituent Relationship Management (CRM): Opportunities, Challenges, and Implementation Strategies
Computers,
Год журнала:
2025,
Номер
14(3), С. 101 - 101
Опубликована: Март 12, 2025
This
research
explores
opportunities
for
generative
artificial
intelligence
(GenAI)
in
higher
education
constituent
(customer)
relationship
management
(CRM)
to
address
the
industry’s
need
digital
transformation
driven
by
demographic
shifts,
economic
challenges,
and
technological
advancements.
Using
a
qualitative
approach
grounded
principles
of
theory,
we
conducted
semi-structured
interviews
an
open-ended
data
collection
instrument
with
technology
vendors,
implementation
consultants,
HEI
professionals
that
are
actively
exploring
GenAI
applications.
Our
findings
highlight
six
primary
types
GenAI—textual
analysis
synthesis,
summarization,
next-best
action
recommendations,
speech
synthesis
translation,
code
development,
image
video
creation—each
applications
across
student
recruitment,
advising,
alumni
engagement,
administrative
processes.
We
propose
evaluative
framework
eight
readiness
criteria
assess
institutional
preparedness
adoption.
While
offers
potential
benefits,
such
as
increased
efficiency,
reduced
costs,
improved
its
success
depends
on
readiness,
ethical
safeguards,
leadership.
By
integrating
co-intelligence
alongside
human
expertise,
HEIs
can
enhance
CRM
ecosystems
better
support
their
constituents.
Язык: Английский
The Impacts of Artificial Intelligence on Business Innovation: A Comprehensive Review of Applications, Organizational Challenges, and Ethical Considerations
Systems,
Год журнала:
2025,
Номер
13(4), С. 264 - 264
Опубликована: Апрель 8, 2025
This
review
synthesizes
current
knowledge
on
the
transformative
impacts
of
artificial
intelligence
(AI)—computational
systems
capable
performing
tasks
requiring
human-like
reasoning—on
business
innovation.
It
addresses
potential
AI
to
reshape
strategies,
operations,
and
value
creation
across
various
industries.
Key
themes
include
AI-driven
model
innovation,
human–AI
collaboration,
ethical
governance,
operational
efficiency,
customer
experience
personalization,
organizational
capability
development,
adoption
disparities.
enables
scalable
product
personalized
service
delivery,
data-driven
strategic
decisions.
Successful
implementations
hinge
overcoming
technical,
cultural,
barriers,
with
enhancing
consumer
trust
competitiveness,
positioning
responsible
innovation
as
a
imperative.
For
practitioners,
this
offers
evidence-based
frameworks
for
aligning
objectives.
academics,
it
identifies
research
frontiers,
including
longitudinal
impacts,
context-specific
roadmaps
small-
medium-sized
enterprises,
sustainable
pathways.
conceptualizes
driver
systemic
transformation,
continuous
learning,
foresight,
ability
competitive
advantage.
Язык: Английский
A Study on the Performance of B&B Operations Is Conducted in Sustainable Tourism
Sustainability,
Год журнала:
2024,
Номер
16(18), С. 8198 - 8198
Опубликована: Сен. 20, 2024
Taiwan’s
bed
and
breakfast
(B&B)
industry
has
experienced
significant
development
in
its
nearly
25-year
history,
transforming
from
B&B
run
by
retirees
to
mature
service
providers
that
adopt
modern
business
Internet
technology
skills
line
with
sustainable
lodging
development.
This
study
explores
the
basic
professional
capabilities
required
for
of
management,
including
social-emotional
intelligence
(EQ)
their
impact
on
quality
tourism
services.
The
used
K–S
Z
test
assess
importance
various
abilities,
emotional
financial
management
technical
abilities
marketing
abilities.
findings,
validated
p-values
less
than
0.05,
confirm
multi-disciplinary
nature
B&Bs
highlight
attitudes
strategic
marketing.
identified
are
not
only
crucial
industry,
but
also
contributing
B&B’s
national
diplomacy
status
global
tourism.
provides
both
novice
operators
actionable
insights
improve
operational
efficiency
achieve
goals.
Язык: Английский
Sequence Analysis-Enhanced AI: Transforming Interactive E-Book Data into Educational Insights for Teachers
Education Sciences,
Год журнала:
2024,
Номер
15(1), С. 28 - 28
Опубликована: Дек. 31, 2024
This
study
explores
the
potential
of
large
language
models
as
interfaces
for
conducting
sequence
analysis
on
log
data
from
interactive
E-Books.
As
studies
show,
qualitative
methods
are
not
sufficient
to
comprehensively
process
interaction
with
The
quantitative
method
educational
mining
(EDM)
has
been
considered
one
most
promising
approaches
studying
learner
interactions
Recently,
showed
in
identifying
typical
patterns
collected
Estonian
Interactive
E-Book
Platform
Opiq,
allowing
see
types
sessions
students
different
grades,
clusters
based
amount
content
they
studied,
and
type
preferred.
main
goal
present
is
understand
how
teachers
can
utilize
insights
CustomGPT
enhance
their
understanding
students’
strategies
digital
learning
environments
(DLEs)
such
what
areas
further
development
tools
are.
We
specified
developing
a
chatbot
transferring
teachers’
queries
into
results
gathered
feedback
teachers,
us
both
estimate
current
design
solutions
make
available
find
vectors
its
development.
Participants
provided
explicit
CustomGPT,
appreciating
group
individual
analysis,
while
suggesting
improvements
visualization
clarity,
legend
design,
descriptive
explanations,
personalized
tips
better
meet
needs.
Potential
development,
integrating
statistics,
enhancing
visualizations
reports
progress
mitigating
AI
hallucinations
by
expanding
training
data,
described.
Язык: Английский
TransSMPL: Efficient Human Pose Estimation with Pruned and Quantized Transformer Networks
Yeonggwang Kim,
Hyeongjun Yoo,
Je-Ho Ryu
и другие.
Electronics,
Год журнала:
2024,
Номер
13(24), С. 4980 - 4980
Опубликована: Дек. 18, 2024
Existing
Transformers
for
3D
human
pose
and
shape
estimation
models
often
struggle
with
computational
complexity,
particularly
when
handling
high-resolution
feature
maps.
These
challenges
limit
their
ability
to
efficiently
utilize
fine-grained
features,
leading
suboptimal
performance
in
accurate
body
reconstruction.
In
this
work,
we
propose
TransSMPL,
a
novel
Transformer
framework
built
upon
the
SMPL
model,
specifically
designed
address
of
complexity
inefficient
utilization
maps
estimation.
By
replacing
HRNet
MobileNetV3
lightweight
extraction,
applying
pruning
quantization
techniques,
incorporating
an
early
exit
mechanism,
TransSMPL
significantly
reduces
both
cost
memory
usage.
introduces
two
key
innovations:
(1)
multi-scale
attention
reduced
from
four
scales
two,
allowing
more
efficient
global
local
integration,
(2)
confidence-based
strategy,
which
enables
model
halt
further
computations
high-confidence
predictions
are
achieved,
enhancing
efficiency.
Extensive
dynamic
also
applied
reduce
size
while
maintaining
competitive
performance.
Quantitative
qualitative
experiments
on
Human3.6M
dataset
demonstrate
efficacy
TransSMPL.
Our
achieves
MPJPE
(Mean
Per
Joint
Position
Error)
48.5
mm,
reducing
by
over
16%
compared
existing
methods
similar
level
accuracy.
Язык: Английский
Research Based on OBE Concept About the Talent Training Mode of Industrial Engineering under the Background of Intelligent Manufacturing
Higher education and practice.,
Год журнала:
2024,
Номер
1(9), С. 1 - 12
Опубликована: Сен. 1, 2024
With
the
rapid
development
of
global
Industry
4.0
and
intelligent
manufacturing,
traditional
industrial
engineering
talent
training
model
faces
many
challenges
to
meet
emerging
technologies
market
demands.
Therefore,
this
study
aims
explore
talents
under
background
manufacturing
based
on
concept
results-oriented
education
(OBE),
strive
build
an
innovative
program
that
meets
needs
industry.
By
integrating
OBE
into
curriculum
design,
teaching
methods
evaluation
mechanism,
through
implementation
main
measures
deepening
comprehensive
reform
majors,
strengthening
construction
teachers
grassroots
organizations,
enhancing
professional
quality
ability
students,
improving
scientific
research
teachers,
The
effect
are
guaranteed.
It
has
explored
innovated
school-enterprise
cooperation
in
integration
production
education,
practical
system
path,
feedback
mechanism
training,
providing
a
new
idea
for
round
technological
revolution.
Язык: Английский