A User Biology Preference Prediction Model Based on the Perceptual Evaluations of Designers for Biologically Inspired Design
A User Biology Preference Prediction Model Based on the Perceptual Evaluations of Designers for Biologically Inspired Design
复制标题
基于设计师对仿生设计感知评价的用户生物学偏好预测模型
DOI：
10.3390/sym12111860
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发表时间：
2020-11
期刊：
影响因子：
--
通讯作者：
许俊恒
中科院分区：
文献类型：
--
作者：
罗仕鉴;张宇飞;Jie Zhang;许俊恒
生物学为产品设计提供了丰富而新颖的灵感来源。越来越多的工业设计师从大自然中获得灵感，通过提取、分类和重建生物特征来生产创意产品。然而，目前获得生物灵感的过程仍然受到设计师先验知识和经验的限制，因此有必要调查设计师对生物特征的感知。在此，我们调查设计师的感知仿生对象功能的感性工程的基础上，实现了一个高度全面的结构化表达的生物特征形成五个维度的整体感觉，能力和特质，颜色和纹理，明显的触觉，和结构的特征，使用因子分析。此外，利用生物灵感设计（BID）产生创意设计解决方案具有无法满足用户偏好和市场需求的风险。用户偏好预测支持工具可以解决这个瓶颈。通过问卷调查的方式考察了用户偏好与设计师感知评价的关系，并通过多元线性回归分析得到了用户偏好预测模型。这提供了一个统计模型，用于识别每个设计师在用户对动物的偏好中的感知维度的相对权重，给出对用户偏好的贡献程度。实验结果表明，设计师感知的“总体感觉”维度与用户偏好的“喜欢”程度正相关，与用户偏好的“不喜欢”程度负相关，表明该预测模型通过设计师感知与用户偏好的匹配，弥合了设计师与用户之间不对称性造成的差距。本研究在一定程度上解决了设计者认知局限性和设计者与使用者差异性的相关问题，促进了生物特征在产品设计中的应用，从而提高了BID方案的市场重要性。
Biology provides a rich and novel source of inspiration for product design. An increasing number of industrial designers are gaining inspiration from nature, producing creative products by extracting, classifying, and reconstructing biological features. However, the current process of gaining biological inspiration is still limited by the prior knowledge and experience of designers, so it is necessary to investigate the designer’s perception of biological features. Herein, we investigate designer perceptions of bionic object features based on Kansei engineering, achieving a highly comprehensive structured expression of biological features forming five dimensions—Overall Feeling, Ability and Trait, Color and Texture, Apparent Tactile Sensation, and Structural Features—using factor analysis. Further, producing creative design solutions with a biologically inspired design (BID) has a risk of failing to meet user preferences and market needs. A user preference prediction support tool may address this bottleneck. We examine user preference by questionnaire and explore its association with the perceptual evaluation of designers, obtaining a user preference prediction model by conducting multiple linear regression analysis. This provides a statistical model for identifying the relative weighting of the perception dimensions of each designer in the user preference for an animal, giving the degree of contribution to the user preference. The experiment results show that the dimension “Overall Feeling” of the designer perception is positively correlated with the “like” level of the user preference and negatively correlated with the “dislike” level of the user preference, indicating that this prediction model bridges the gap caused by the asymmetry between designers and users by matching the designer perception and user preference. To a certain extent, this research solves the problems associated with the cognitive limitations of designers and the differences between designers and users, facilitating the use of biological features in product design and thereby enhancing the market importance of BID schemes.
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影响因子：
4.3
作者：
Chun-Cheng Hsu;Shih-Cheng Fann;Ming-Chuen Chuang
通讯作者：
Chun-Cheng Hsu;Shih-Cheng Fann;Ming-Chuen Chuang
影响因子：
4.5
作者：
S. Murphy;H. Charo-Karisa;S. Rajaratnam;S. Cole;C. McDougall;A. Nasr-Allah;Diaa Kenawy;Mohamed Y. Abou Zead;M. L. van Brakel;L. K. Banks;N. A. Ibrahim
通讯作者：
S. Murphy;H. Charo-Karisa;S. Rajaratnam;S. Cole;C. McDougall;A. Nasr-Allah;Diaa Kenawy;Mohamed Y. Abou Zead;M. L. van Brakel;L. K. Banks;N. A. Ibrahim
影响因子：
3.5
作者：
Dennis Vandevenne;T. Pieters;J. Duflou
通讯作者：
Dennis Vandevenne;T. Pieters;J. Duflou
影响因子：
3.1
作者：
Hua-Cheng Chang;Hsin-Hsi Lai;Yu-Ming Chang
通讯作者：
Hua-Cheng Chang;Hsin-Hsi Lai;Yu-Ming Chang
影响因子：
11.1
作者：
Ma, Shao-Chao;Fan, Ying;Zhu, Jiannan
通讯作者：
Zhu, Jiannan