Relating emotions, psychophysiological indicators and context in public transport trips: Case study and a joint framework for data collection and analysis

Keyphrases

• Public Transport 100%
• Emotion Data 100%
• Joint Framework 100%
• Smartphone Application 100%
• Transport Trip 100%
• Santiago De Chile 50%
• Causal Factors 50%
• Physical State 50%
• Public Transport Modes 50%
• Public Transport Drivers 50%
• Emotional State 50%
• Engineering Students 50%
• Heart Rate 50%
• User Satisfaction 50%
• Contextual Information 50%
• Autonomous Vehicles 50%
• Indicator-based 50%
• Discrete Choice Experiment 50%
• User Emotion 50%
• Onboard Data 50%
• Data Clustering Techniques 50%
• Non-intrusive 50%
• Cognitive State 50%
• Psychophysiological Data 50%
• Satisfaction Index 50%
• Skin Temperature 50%
• Biomonitoring 50%
• Transport Framework 50%
• Electrodermal Activity 50%
• Ambient Sensors 50%
• Heart Rate Variability 50%
• Russell Model 50%

Computer Science

• Case Study 100%
• Smartphone Application 100%
• Engineering Student 50%
• Autonomous Vehicles 50%
• Discrete Choice Model 50%
• Causal Factor 50%
• Transport Mode 50%
• Ambient Sensor 50%
• User Satisfaction 50%
• Context Information 50%
• Clustering Technique 50%
• Clustered Data 50%