Research on the Integration of Human-Computer Interaction and Cognitive Neuroscience

This paper aims at reviewing the development of the integration of Cognitive Neuroscience and Human-computer Interaction, and put forward the main directions of the development of Brain-computer Interaction in the future. Research status and application of Human-computer Interaction based on Cognitive Neuroscience were reviewed by desktop analysis and literature survey, combined with the new research trends of Brain-computer Interface according to domestic and foreign development. According to the brain signal acquisition method and application, the types of BCI are divided into (1) Passive brain-computer interface: exploring and modeling neural mechanisms related to human interaction and on that basis realizing iterative improvement of computer design. (2) Initiative brain-computer interface: direct interaction between brain signal and computer. Then the main development direction of Brain-computer Interface field in the future from three progressive levels are discussed: broadening existing interactive channels, improving the reliability of human-computer interaction system and improving the interaction experience. The deep integration and two-way promotion of Cognitive Neuroscience and Human-computer Interaction will usher in the era of Brain-computer Interface and the next generation of artificial intelligence after overcoming a series of problems such as scene mining, algorithm optimization and model generalization.