A robust operators’ cognitive workload recognition method based on denoising masked autoencoder
Knowledge-Based Systems,
Год журнала:
2024,
Номер
301, С. 112370 - 112370
Опубликована: Авг. 14, 2024
Язык: Английский
Tracking the Unseen and Unaware: Deciphering Controllers’ Detection Failures to Warnings Through Eye-Tracking Metrics
International Journal of Human-Computer Interaction,
Год журнала:
2025,
Номер
unknown, С. 1 - 20
Опубликована: Янв. 13, 2025
Язык: Английский
Flashlight model: Integrating attention distribution and attention resources for pilots’ visual behaviour analysis and performance prediction
International Journal of Industrial Ergonomics,
Год журнала:
2024,
Номер
103, С. 103630 - 103630
Опубликована: Авг. 17, 2024
Язык: Английский
Flashlight Model: Integrating Attention Distribution and Attention Resources for Pilots' Visual Behaviour Analysis and Performance Prediction
Опубликована: Янв. 1, 2024
Pilot
performance
is
almost
the
last
line
of
defence
in
aircraft
safety.
Recent
years
have
seen
a
surge
research
aimed
at
utilizing
eye-tracking
technology
to
predict
pilot
performance,
enhancing
aviation
safety
margins.
A
decline
often
attributed
either
misdirected
attention
towards
irrelevant
tasks
or
inefficient
information
processing
owing
limited
resources.
Previous
has
shown
that
data
can
effectively
capture
these
issues
and
provide
accurate
predictions.
Nevertheless,
existing
studies
focus
on
distribution
resources
separately,
ignoring
complex
interactions
between
them.
To
address
this
gap,
our
study
proposes
synthesized
Flashlight
model-based
analysis
for
prediction,
integrating
two
perspectives.
Accordingly,
combined
AOI-gaze
metrics
are
proposed
offer
more
nuanced
across
specific
Areas
Interest
(AOIs),
thereby
gaze
metrics.
We
examined
efficacy
Gradient-boosted
decision
trees(GBDT)
model
prediction
compared
them
with
other
widely
used
simulated
flight
experiment
case
study.
Moreover,
we
employed
SHapley
Additive
exPlanations
(SHAP)
method
identify
most
influential
measurements
pilots'
prediction.
The
result
demonstrated
selected
obtained
highest
accuracy
Overall,
framework
serve
as
systematic
visual
behaviour
dynamic
human-machine
interactions.
Язык: Английский
SPIN-Based Linear Temporal Logic Path Planning for Ground Vehicle Missions with Motion Constraints on Digital Elevation Models
Sensors,
Год журнала:
2024,
Номер
24(16), С. 5166 - 5166
Опубликована: Авг. 10, 2024
Linear
temporal
logic
(LTL)
formalism
can
ensure
the
correctness
of
mobile
robot
planning
through
concise,
readable,
and
verifiable
mission
specifications.
For
uneven
terrain,
must
consider
motion
constraints
related
to
asymmetric
slope
traversability
maneuverability.
However,
even
though
model
checker
tools
like
open-source
Simple
Promela
Interpreter
(SPIN)
include
search
optimization
techniques
address
state
explosion
problem,
defining
a
global
LTL
property
that
encompasses
both
specifications
on
digital
elevation
models
(DEMs)
lead
complex
high
computation
times.
In
this
article,
we
propose
system
incorporates
set
uncrewed
ground
vehicle
(UGV)
constraints,
allowing
these
be
omitted
from
checking.
This
is
used
in
synthesizer
for
path
planning,
where
an
describes
only
specification.
Furthermore,
present
specific
parameterization
synthesis
using
SPIN.
We
also
offer
two
SPIN-efficient
general
formulas
representative
UGV
missions
reach
DEM
partition
set,
with
specified
or
unspecified
order,
respectively.
Validation
experiments
performed
synthetic
real-world
DEMs
demonstrate
feasibility
framework
DEMs,
achieving
significant
reduction
cost
compared
baseline
approach
includes
property,
when
applying
appropriate
planners.
Язык: Английский