Abstract
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.
Highlights
Inspiration is of great significance for designers
The influence of symmetry on visual aesthetics and design has been pointed out in the literature [3]; biology with symmetry are worth considering as sources of inspiration in product design
We propose a user biology preference prediction model for perception of bionic object features based on Kansei engineering, examine user preference, and biologically inspired design andperceptual attempt to predict the user preference trend in prediction explore its association with the evaluation of designers
Summary
Inspiration is of great significance for designers. Previous research has shown that stimulation by different forms of inspiration is beneficial for increasing the creativity of designers [1]. Phenomenon descriptions containing causal relations presented in text form are more likely to reliable requires knowledge from both biological and engineering fields to stimulate the current research mainly classifies biological features based on function–structure ontologies [29], generate useful analogies to solve design et al.definition [26]. BID products, it is necessary to fully consider the perceptions and preferences of designers and users as a research case) from perspective of designers users: Through research, we We propose a user biology preference prediction model for perception of bionic object features based on Kansei engineering, examine user preference, and biologically inspired design andperceptual attempt to predict the user preference trend in prediction explore its association with the evaluation of designers. Is there a certain mapping between user preferences and the dimensions of designer perception mentioned above?
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