欢迎访问《图学学报》 分享到:

图学学报

• 工业设计 • 上一篇    下一篇

基于感性意象的高速列车座椅设计及美学规律研究

  

  1. (中南大学建筑与艺术学院,湖南 长沙 410083)
  • 出版日期:2020-10-31 发布日期:2020-11-05
  • 通讯作者: 戴 端(1958–),女,湖南长沙人,教授,硕士,博士生导师。主要研究方向为产品设计方法、产品设计战略和设计教育管理。E-mail:435745980@qq.com
  • 作者简介:白翔天(1996?),男,山西晋中人,硕士研究生。主要研究方向为轨道交通产品设计、感性工学及产品创新设计与评价。E-mail:bai_ftosky@163.com
  • 基金资助:
    湖南省科技厅科技计划项目(2014Gk3132)

Modeling design and aesthetic rules studies of high-speed train seats based on perceptual image

  1. (School of Architecture and Art, Central South University, Changsha Hunan 410083, China)
  • Online:2020-10-31 Published:2020-11-05
  • Contact: DAI Duan (1958–), female, professor, master. Her main research interests cover product design method, product design strategy and design education management. E-mail:435745980@qq.com
  • About author:BAI Xiang-tian (1996–), male, master student. His main research interests cover rail transit product design, kansei engineering and product innovation design and evaluation. E-mail:bai_ftosky@163.com
  • Supported by:
    Science and Technology Planned Project of Hunan Provincial Science and Technology Department of China (2014Gk3132)

摘要: 针对现有高速列车座椅普遍存在设计同质化、体验感不良等问题,将高速列车座 椅美学规律研究与感性意象方法相结合,探讨高速列车二等座椅的设计研究方法及应用路径, 为设计实践及行业发展提供借鉴与指导。通过对高速列车座椅典型样本和感性意象词汇的搜集 与筛选,结合语义差异法和拉依达准则构建得出感性意象数据库;然后将其导入 SPSS 软件进 行主成分分析,依据成分矩阵和样本评价散点图提取主成分中载荷较大意象词汇及对应的代表 样本,并进一步明确意象词汇在代表样本中的高匹配度区域,得出设计要素及优先级顺序;最 后进行实践设计及可行性评估,并将研究过程中所适用的主要美学规律进行阐述。研究结果赋 予高速列车领域美学规律研究更为科学的方法路径,同时也拓展了感性意象研究新的应用空间, 为设计出更加迎合乘客感性意象的高速列车座椅提供了有效的借鉴方法及操作路径。

关键词: 感性意象, 高速列车, 座椅, 设计要素, 美学规律

Abstract: Aiming at the ubiquitous problems of design homogenization and poor experience of existing high-speed train seats, the study of the aesthetic rules of high-speed train seats was combined with the method of perceptual image to discuss the design research method and application path of the second-class seats in high-speed train to provide reference and guidance for design practice and industry development. Through the collection and selection of typical samples of high-speed train seats and perceptual image vocabulary, a database of perceptual images was constructed with semantic difference method and Pauta criterion. Then it was imported into SPSS software for principal component analysis. The image vocabulary with larger load and the corresponding typical samples were extracted from the main components according to the component matrix and the sample evaluation scatterplot, and the high matching area of the image vocabulary in the representative sample was further determined to obtain the design elements and their order of priority. Finally, the design practice research and feasibility evaluation were conducted, and the main applicable aesthetic rules were expounded. The research results give more scientific approaches to the aesthetic rules studies of high-speed train. Meanwhile, it also expands the application of perceptual image research and provides effective reference and operation paths for high-speed train seats design catering to passengers’ perceptual image.

Key words: perceptual image, high-speed train, seat, design element, aesthetic rules