Aiming at the diversification of evaluation criteria caused by the subjectivity, ambiguity, contextuality and other characteristics of user experience in the process of medical equipment experience design, a method for identifying user experience based on cognitive psychology is proposed. Taking the information cognition of the ECG machine interface as an example, taking the fogging of goggles under epidemic medical conditions as the main variable, using the response time and accuracy rate as the evaluation index, and combining the subjective experience of the user to obtain the survey and experiment results, it is more reliable to reveal The real thoughts and attitudes of users, quantitative research on user experience, and use scientific and reasonable indicators to identify the experience. Based on this method, through the intervention of big data, artificial intelligence and other new technologies, the identification standard of user experience is digitized, so as to objectively and accurately guide the design process, and provide a certain reference and reference for improving user experience design.

COVID-19, Cognitive psychology, Experience recognition, Big data, ECG machine