INIS
fatigue
100%
evaluation
77%
design
54%
indicators
53%
indonesia
48%
accidents
41%
levels
37%
risks
30%
performance
28%
workers
24%
applications
23%
control
21%
demand
21%
interfaces
20%
eyes
18%
data
18%
signals
18%
risk assessment
18%
virtual reality
18%
learning
18%
industry
18%
safety
15%
increasing
15%
cars
15%
comparative evaluations
14%
environment
14%
roads
14%
computers
13%
commerce
12%
males
12%
guidelines
11%
interventions
11%
vectors
11%
electroencephalography
11%
women
11%
production
10%
accuracy
10%
classification
10%
railways
10%
modeling
10%
equations
10%
resources
10%
humans
10%
forecasting
9%
brain
9%
construction
9%
hazards
9%
neural networks
9%
vision
9%
fluctuations
9%
Keyphrases
Indonesia
61%
Indonesian
43%
Traffic Accidents
35%
Electroencephalogram
27%
Fatigue Measurement
20%
Mental Workload
20%
Blink Duration
19%
Physiological Approach
18%
Cognitive Approach
18%
Ocular Indicator
18%
Usability Evaluation
18%
Risk Assessment
18%
Design Thinking Method
18%
Driving Fatigue
18%
Driving Activity
18%
Subjective Approach
18%
Gamification
18%
Virtual Reality
18%
Karolinska Sleepiness Scale
16%
Driver Fatigue
16%
Sleepiness
16%
Risky Driving
16%
Driving Duration
14%
Road Traffic Accidents
12%
Partial Least Squares Structural Equation Modeling (PLS-SEM)
12%
Signal Indicators
12%
Heart Rate
12%
Electroencephalography
12%
Car Driving
12%
Mental Fatigue
12%
Worker Stress
11%
Microsleep
11%
Support Vector Machine
11%
Commercial Drivers
11%
Technology Application
11%
Jakarta
10%
Fatigue Index
10%
Psychomotor Vigilance Task
10%
Subjective Measures
9%
Female Respondent
9%
Work Design
9%
Fatigue Detection
9%
Job Demands-resources (JD-R)
9%
Conservation of Resources Model
9%
Detection Device
9%
Motorcycle Driver
9%
Visual Intervention
9%
Risk-based Design
9%
Fatigue Classification
9%
Operations Control Centre
9%