| 摘要: |
| 目的 提升城市轨道列车外观设计的文化内涵，丰富城市轨道列车工业设计的文化表征方法。方法 以成都皮影文化为例，基于通感转译理论，通过构建“通感桥”的关联属性实现对用户多感官意象活动中接收信息的转化和翻译，并结合层次分析法(AHP)将转译的造型语言进行聚类分析，最后从用户解码路径出发，逆向验证列车造型语言的科学性。结果 得到皮影人物局部特征、皮影人物形象、皮影人物颜色、皮影光影渐变、皮影雕刻纹理、皮影肌理和皮影人物轮廓线条7个本觉意象指标并计算了其各自权重。结论 将以上方法应用于城市轨道列车的外观设计实践中，形成了表达成都皮影文化意象的城市轨道列车外观方案，为地域文化融合的城市轨道列车提供了新思路，具有一定的参考价值。 |
| 关键词: 通感转译 造型语言 层次分析法(AHP) 成都皮影 城市轨道列车 |
| DOI：10.19554/j.cnki.1001-3563.2023.12.015 |
| 分类号:TB472 |
| 基金项目:国家自然科学基金(52145253);教育部人文社科规划项目(19YJA760094) |
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| Synaesthesia Translation Design of Urban Rail Trains for Chengdu Shadow Culture |
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WANG Xin-xian, SHI Zhuo-wen, MIN Guang-hui, JING Chun-hui, ZHI Jin-yi
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(School of Design and Art, Southwest Jiaotong University, Chengdu 611756, China)
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| Abstract: |
| The work aims to enhance the cultural connotation of urban rail train appearance design and enrich the cultural representation methods for industrial design of urban rail trains. With Chengdu shadow puppet culture as an example, based on the synaesthesia translation theory, the transformation and translation of the information received in the user's multi sensory image activities were realized by constructing the correlation attribute of "synaesthesia bridge", and the translated modeling language was analyzed by cluster analysis combined with analytic hierarchy process (AHP). Finally, starting from the user decoding path, the scientificity of the train modeling language was inversely verified. Seven indicators of proprioceptive imagery were calculated and weighted:shadow figure local features, shadow figure image, shadow figure colour, shadow light gradient, shadow carving texture, shadow texture and shadow figure contour line. Applying the above methods to the appearance design practice of urban rail trains forms an appearance scheme of urban rail trains expressing the cultural image of shadow play in Chengdu and provides new ideas for urban rail trains with regional cultural integration. It has a certain reference value. |
| Key words: s of the 2019 CHI Conference on Human Factors in Computing Systems. Glasgow, Scotland Uk. New York:ACM, 2019:1-6. |
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