Travel Behavior Analysis and Personalized Interaction Design of the Elderly Based on EEG Feedback

The study deeply analyzes the travel behavior of the elderly by integrating EEG feedback technology, and designs a personalized interactive interface for smart phones to improve the travel safety and quality of life of the elderly. Firstly, the EEG signals of the elderly over 60 years old in simulated and real travel scenes were collected by portable wireless EEG equipment, and the internal mechanism of the travel behavior of the elderly was revealed by combining behavioral and cognitive data, correlation analysis, cluster analysis and hidden Markov model. Based on this, the design principles of cognitive adaptation, dynamic feedback and security redundancy are put forward, and a prototype of personalized interactive interface integrating EEG feedback is developed. The experimental results show that the design significantly reduces the cognitive load and anxiety level of the elderly, and improves the task completion efficiency and user satisfaction. The research results provide a new theoretical basis and technical support for aging-resistant interactive design.