Research on data display based on mobile handheld instrument interface

The existing mobile handheld instrument focuses more on detection technology research, ignoring the interface interaction principles. In this context, improving the interface reading efficiency of such handheld instruments is essential to improve the user experience. Based on several common charts, this paper conducts interactive analysis through eye movement experiments to find a visual chart that is easy to read. Take the element analyzer as the research object to conduct case studies. Firstly, four types of commonly used chart structures are screened by investigating the presentation methods of existing mobile device charts. Then, through eye movement experiments, extract the eye movement indicators of 4 types of charts to verify the legibility. Finally, combined with the instrument operation background, the most suitable chart scheme is selected and refined. This paper analyzes the legibility of the existing mobile handheld instrument's interface through eye movement experiments, and finds a visual chart that is easy to read in usage scenarios, which can improve the data reading efficiency of operators in the work process and the operability of the equipment.