Human Machine Interface

My research focuses on understanding how humans perceive and react to information presented by digital transportation systems. This helps design effective human-machine interfaces (HMIs) that communicate predictive information to road users, enabling them to make informed decisions and take appropriate actions. By studying human cognition, behavior, and interaction with technology, I aim to develop interfaces that enhance safety, usability, and user experience in digital transportation systems. Key areas of interest include:

• How do humans interpret and respond to predictive information in real-time?
• What are the best practices for designing intuitive and effective HMIs?
• How can HMIs be tailored to different user needs and contexts?
• What are the cognitive and perceptual factors that influence human decision-making in transportation systems?