Research On The Information Integration Of Large Amounts Of Information Design

With the advent of information society, the information people receive and process has become increasingly numerous and complex. Moreover, with the development of computer science, design theory, specifically, graphic-design-related theory is improving continuously, promoting the information expression and communication to have a substantive leap. Consequently, information visualization is created.Information integration of large amounts of information (IILAI) refers to the transforming information into a form which caters to non-professionals by means of visual methods in graphic design and combining features of various disciplines, thus making the information communication in a precise and efficient way. IILAI is a comprehensive subject which involves statistics; semiotics and psychology, whose design expression forms still pertain to visual communication, for the related contents are expressed mainly by visual methods. Therefore, the design principles of main visual elements such as words, colors and figures in information visualization obey the rules of common laws in visual communication.This thesis explores the ways to express words, figures, colors and emotions to achieve effective communication based on some theories of semiotics and cognitive psychology with graphic expression principles in visual communication. Furthermore, the visualization discussed in this thesis is not simply a "look and say" by using pictures and figures but an embodiment of information by using visual elements which can stimulate audience reaction after analyzing and decoding original information. Therefore, it not only enhances visual perception, more significantly, reduces people’s cognitive cost to conduct users to access useful information and to achieve effective communication.This paper mainly focuses on design expression principles according to the writer’s study field. Then it analyzes and summarizes the expressions of information visualization based on the current cognition. Finally, a series of effective design principles and methods are proposed.