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Research On The Trend Of "Small Data" In The Personalized Design

Posted on:2017-11-02Degree:MasterType:Thesis
Country:ChinaCandidate:X X ShenFull Text:PDF
GTID:2322330509958486Subject:Design
Abstract/Summary:PDF Full Text Request
The existence of small and medium-sized pan took the lead in the preface, the author explains the research significance and related concepts, mainly with the relevant theoretical significance. In this paper the author familiar visual communication design field as an example, describes the design of the current situation of the development, flat design process, and a preliminary talk about the data used in design field in the future.The third chapter is further into the theme of "small data widely exist in the design of the status quo, and the current design of the popular- interaction design is due to the small data research(attached the relevant case analysis. The fourth chapter focuses on the Revelation of the design data, the environment prevailing Flattening trend, improve the audience's cognitive level, at the same time the content pipeline also flat. The next chapter in this paper from the point of view of interdisciplinary research prospects small data more broad prospects for development, discover the small data era to the designer to bring enlightenment. Finally it puts forward the conclusion and expectation are as follows:Vision was not the first priority, "accurate perception of audience demand for the premise of communication is good communication" should use small data fill designer "communicate" short board. Small data related to the concept of production is not accidental and get into a blind alley, it is market realities of a natural derivative, is the mobile Internet technology sweeping the global context of a new topic. Designers should conform to the trend of small data, using small data thinking to determine, detailed implementation of the personalized needs of customers, help to improve the personalized service design, precise positioning and work satisfaction.
Keywords/Search Tags:Big data, Small data, Delayering, Trend
PDF Full Text Request
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