文章摘要
林晨晔.基于用户体验的产品色彩定向设计方法[J].包装工程,2019,40(22):46-49.
基于用户体验的产品色彩定向设计方法
Oriented Design Methodology of Product Color Based on User Experience
投稿时间:2019-08-14  修订日期:2019-11-20
DOI:10.19554/j.cnki.1001-3563.2019.22.008
中文关键词: 用户情感体验  色彩交互模式  感性工学  量化色彩系统  定向设计方法论  人工智能设计
英文关键词: user emotional experience  mode of color interaction  kansei engineering  quantitative color system  ori-ented design methodology  artificial intelligence design
基金项目:上海市教育委员会“晨光计划”项目(15CG71)
作者单位
林晨晔 上海第二工业大学上海 201209 
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中文摘要:
      目的 在明确的定位目标导向下,探索一种更为科学、准确与有效的色彩设计方法,通过产品色彩的定向设计提升用户情感体验。方法 明确用户与产品间的色彩交互模式,产品色彩的定向设计基于用户情感层面的色彩交互,具有整体性、互动性与定向性特征,其本质是在色彩形象定位与用户感性需求相一致的前提下,实现色彩语义与用户感知间映射的一致性。建立一致性的定量基础,应用感性工学与量化色彩系统在映射两端完成匹配对象的量化研究,为定向建立一致性提供可行性。结论 建立面向行业实际应用的“产品色彩定向设计方法体系”,以“定位—定向—定案”为脉络逐层推进完成3个从用户端到设计端的定向研发,形成以提升用户情感体验为核心的产品色彩定向设计方法论。该方法在人工智能设计上应用前景广阔。
英文摘要:
      The work aims to explore a more scientific, accurate and effective design method under the certain objective positioning, to improve the emotional experience of users through the oriented design of product color. The color in-teraction mode between users and products was figured out and the oriented design of product color was based on the color interaction in user's emotion level and had characteristics of integrality, interactivity and directionality. The essence was to establish consistency of mapping between the semantic meaning of color images and the perception of users under the premise that the positioning of color images matched the emotional need of users. Then a quantitative basic for the consistency was established and the application of Kansei Engineering and Quantitative Color System quantized the map-ping objects on both sides, bringing the feasibility of establishing consistency. A practical 'Oriented Design Method System of Product Color' was found. Following the law of 'Positioning-Direction-Decision', three oriented design processes were completed layer by layer from user side to design side, to form a methodology with a core of improving users' emotional experience. This methodology showed a great application prospect in artificial intelligence design.
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