Usability Evaluation of Intelligent Medical Imaging Diagnostic Interface Based on SD Method

At present, image visualization in medical field is mainly realized by observation or image slice. This method relies on doctors’ subjective judgment to a great extent, and lacks accuracy and intuition. This paper evaluates the usability evaluation of intelligent medical imaging diagnostic interface based on the SD method, and analyzes the current intelligent medical imaging diagnostic interface status and user needs. Evaluation of interface by using a 5-point semantic difference (SD) scale. Through experimental analysis, it can be concluded that: (1) among the 7 groups of kansei words, W2 (amateur-professional) has the highest score and the W5 (dark-bright) score is the lowest. (2) among the 8 samples, the S8 score was the highest and the S2 score was the lowest. (3) the operational factor has the greatest impact on the interface experience score.