Research on Information Visualization Design for Public Health Security Emergencies

• Published in: Human-Computer Interaction. Design and User Experience Case Studies Vol. 12764; pp. 325 - 336
• Main Authors: Jin, Wenkui, Shan, Xurong, Ma, Ke
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2021; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Epidemics; Information visualization; Public health security emergencies
• ISBN: 3030784673; 9783030784676
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-030-78468-3_22

Information visualization design is closely related to statistics, computer science, visual image design and other scientific fields and professions, and is used to provide the public with epidemic prevention and health information during the epidemic. Relevant data and information are provided by health, industry and information technology, transportation, customs, immigration management, civil aviation, railway, etc. The purpose is to analyze various information visualization cases for public health emergencies and how to convey information to the public. We analyze how to deal with the three user elements of user participation subject, user cognitive psychology and user interaction behavior in the excellent information visualization design cases. Combined with the above analysis, the development of the epidemic situation can be presented in a rich and intuitive way, so that the public can understand the transmission route of the epidemic and the number of cases, and the public will have less panic about it. At the same time, the correlation between data should be mined to help the audience to establish an effective logical thinking in the face of massive information. Moreover, attention should also be paid to the different ways of information visualization to bring different psychological feelings to the viewers. Through these three approaches, the effect of information visualization in public security emergencies in the era of big data can be improved, and the information of public health emergencies can be more accurately and dynamically controlled, which is conducive to improving the ability of relevant organizations to predict and respond to public health emergencies.