| 陈国强,姜楠,张鹏,谢小雨.基于感性工学的儿童陪伴机器人造型设计[J].包装工程,2021,42(4):166-171. |
| 基于感性工学的儿童陪伴机器人造型设计 |
| Modeling of Children’s Companion RoBot Based on Perceptual Engineering |
| 投稿时间：2020-11-13 |
| DOI：10.19554/j.cnki.1001-3563.2021.04.023 |
| 中文关键词: 感性工学 儿童陪伴机器人 造型设计 意象认知 |
| 英文关键词: perceptual engineering children’s companion robot modeling design image recognition |
| 基金项目:河北省社会科学基金项目(HB19YS004) |
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| 中文摘要: |
| 目的 为了满足儿童群体对家庭陪伴型机器人的审美及情感需求，更好地感知体验造型形象，提高儿童陪伴机器人造型的创新性和差异性，让父母和孩子更加青睐。方法 运用感性工学理论，构建了儿童陪伴机器人意象造型与感性认知映射模型，采用语义差异法和Likert量表对代表性样本进行感性意象认知分析，通过SPSS软件统计感性意象词汇测量数据，进行主成分分析和因子系数数量化分析，语义量化分析得出主要造型特征影响元素，依据主要的影响元素对儿童陪伴机器人进行造型设计。结论 明确意象造型与感性认知的映射关系以及感性需求相关性分析的方法，将无形的感性意象词汇转化为有形的造型设计元素，可以有效指导儿童陪伴机器人进行造型创新设计，为该行业的产品造型研究方法提供参考。 |
| 英文摘要: |
| The work aims to meet the aesthetic and emotional needs of the family companion robots for children, to provide a better perception experience of shape image, and improve the innovativeness and difference of the childrens’ companionrobot shape, thus getting the favor of parents and children. Through the perceptual engineering theory, a model of image modeling and perceptual cognitive mapping of children’s companion robot was constructed. Then, the Semantic Difference and the Likert scale were adopted to carry out a perceptual image cognitive analysis on representative samples. The principal component analysis and factor coefficient quantitative analysis were carried out by using SPSS software to measure the perceptual image vocabulary. The main styling features affecting elements were obtained based on the semantic quantitative analysis. In accordance with the main affecting elements, the modeling design of the children’s companion robot was carried out. The mapping relationship between image modeling and perceptual cognition and the method of perceptual demand correlation analysisare defined, translating the intangible perceptual image vocabulary into tangible styling design elements, which can effectively guide the children’s companion robot to carry out modeling innovation design, and provide reference for the research method of product modeling in this industry. |
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