Animation products always attract attention. The business often pays more attention on animation production. There is a bigger issue they have to face, how to make animation products more attractive. The traditional warm-up pattern of animation marketing can't satisfy the demands of present society. Based on consumer psychology of different ages consumers this paper analysis the problem, "positioning deviation, narrow classification, simplex media" of Chinese animation market by studying on the warm-up pattern of animation marketing of American, Japan and Korea and stand on the acceptable media features of present animation consumers.
ADVANCES IN MECHANICAL ENGINEERING,2016年8(7) ISSN：1687-8140
[Yu, Conggang] Xiangtan Univ, Sch Mech Engn, Xiangtan, Peoples R China.;[Zhu, Lusha] Xiangtan Univ, Art Inst, Xiangtan 411105, Peoples R China.
[Zhu, Lusha] Xiangtan Univ, Art Inst, Xiangtan 411105, Peoples R China.
Design pattern;data-driven;product category;product element
This article discusses about new product design patterns in the big data era, gives designer a new rational thinking way, and is a new way to understand the design of the product. Based on the key criteria of the product design process, category, element, and product are used to input the data, which comprises concrete data and abstract data as an enlargement of the criteria of product design process for the establishment of a big data-driven product design pattern's model. Moreover, an experiment and a product design case are conducted to verify the feasibility of the new pattern. Ultimately, we will conclude that the data-driven product design has two patterns: one is the concrete data supporting the product design, namely "product-data-product'' pattern, and the second is based on the value of the abstract data for product design, namely "data-product-data'' pattern. Through the data, users are involving themselves in the design development process. Data and product form a huge network, and data plays a role of connection or node. So the essence of the design is to find a new connection based on element, and to find a new node based on category.