Juan Li’s research while affiliated with Wuhan University of Technology and other places

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.

This paper report on two experimental studies on digital monitoring interface to measure the user experience in intelligent tunnel monitoring system. Based on cognitive psychology theory, we conducted two experimental evaluation studies. The study 1 was using questionnaire method to explore and survey the end users. The study 2 was a comparative research study which were undergoing 7-point Likert user experience questionnaire. The prototypes of the study 2 were designed based on the study 1. Through the study 1 and study 2, we found that the target user needs of the digital monitoring interface were: (1) the interaction mode guided by logic of behaviors is more suitable for the design of tunnel data monitoring system; (2) professional background differences have lower significance on system availability; (3) data visualization should be different in different application scenarios. The research results can help us to deeper understand the design of digital monitoring interface in the related working scenarios.

This paper reports on an experimental study on user interface design in complex electronics manufacturing systems to measure the difference between ecological interface design (EID) and user-centered design (UCD). Based on cognitive psychology and human factors theory, we conducted a comparative research study. Prototypes of the interface were designed based on the EID and UCD which were undergoing NASA-TLX to evaluation the subjective workload of the users. The main findings of this study were as follows: (1) we found that the ecological interface design and user-centered design had significant differences in each levels; (2) the ecological interface design has a significant better effect on subjective workload compare to user-centered design in the complex electronics manufacturing systems (P < 0.05). The research results can help interface designers to deeply understand the difference between EID and UCD, which could guide the design of user interface in the complex industrial scenarios.

This paper reports on an experimental study on user interface in universal smart TV remote controls to measure the influence of information overload on user experience. Based on cognitive psychology and human factors, we proposed a design entropy model (DEM). DEM is measurement of the degree of information chaos in a user interface, which contains the “appearance design entropy (ADE)” and the “interaction design entropy (IDE).” To validate the model, we designed an experimental study, 82 college students participate in the experiment and the experiment material were three universal smart TV remote controls. The results showed that: (a) design entropy have a significant correlation with user experience; (b) high design entropy caused more disorder, thus significantly decreasing user experience; (c) low entropy design caused more order, thus significantly increasing user experience, which further verifies the validity of the DEM.