| 摘要: |
| 目的 探讨差异化的轮毂造型、受试者年龄、感知意象的显著程度，确定符合目标人群的电动车轮毂造型方案。方法 完成各有5组轮辐的8种不同风格的轮毂造型方案。获取与电动车整体造型风格一致的8个感知意象词汇，采用5段语义差分法对102名目标人群进行感知意象实验。采用单因素方差分析法，对主成分分析确定的“个性的”等6个重要的感知意象词汇进行比较分析，分别求得8种轮毂造型，以及高中低3个年龄层次的目标人群对电动车轮毂造型特征的感知意象的显著结果。结果 获得不同感知意象对差异化的电动车轮毂造型显著性的影响程度，掌握具有倾向性的感知意象对特定年龄层次人群的敏感程度，总结市场细分条件下的电动车轮毂造型特征的倾向性，并呈现各轮毂造型显著性的影响程度。结论 通过方差分析找到指定感知意象词汇中最敏感的受试者年龄层次，以及造型特征显著性最强、感知意象最突出的轮毂造型，为确保轮毂与整车造型风格的统一性，提供科学依据。 |
| 关键词: 电动车轮毂 造型特征 感知意象 方差分析 显著性 |
| DOI：10.19554/j.cnki.1001-3563.2022.10.013 |
| 分类号:TB472 |
| 基金项目:国家留学基金资助项目(201806175118);国家自然科学基金项目(11772140) |
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| Statistical Significance of the Wheel Hubs Styling Features Based on Variance Analysis |
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WEI Jun, HAN Ying, SU Chang, ZHANG Ying-chao
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(Jilin University, Changchun 130012, China)
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| Abstract: |
| The paper aims to determine the electric wheel hub's modeling feature which matches the preferences of target users via the method of variance analysis (VA), and explore the significance of the wheel hub's modeling feature, the age of customers, and the perception images. Completing 8 different styles of wheel hub modeling feature with 5 sets of spokes. Obtain 8 perception image vocabularies which are consistent with the overall style of the electric vehicle, and use the 5-stage semantic difference (SD) method to conduct perception image experiments on 102 target persons. Apply variance analysis method to procced a comparative analysis of 6 important perception image vocabularies which are determined by principal component analysis (PCA). Calculate the significance of 8 wheel hub stylings and target population of 3 age levels on the perception image of electric vehicle wheel hub modeling features. The degree of influence of different perception image on the significance of differentiated electric wheel hubs is obtained. The significance of perception image on differentiated design of electric wheel hub is grasped, alone with the sensitivity to the specific age group. The trend of electric wheel hub modeling feature which is under of market segmentation conditions is summarized. And the degree of influence which has the feature of each wheel hub with distinctiveness is presented. The most sensitive age level of the subject in the specified perception image vocabularies, as well as the most significant modeling feature and prominent perception image of wheel hubs' feature are carried out by variance analysis, which provides scientific basis to guarantee the unity of the wheel hub and the vehicle style. |
| Key words: wheel hub of electric vehicle modeling feature perception image variance analysis significance |
