E3S Web Conf.
Volume 179, 20202020 International Conference on Environment and Water Resources Engineering (EWRE 2020)
|Number of page(s)||6|
|Section||Environmental Ecology and Equipment|
|Published online||23 July 2020|
Research on Cognitive Matching of Biological Morphological Features and Images for Profiling Design
School of Mechanical Engineering, Guizhou University, Guiyang, Guizhou, 550025, China
* Corresponding author’s e-mail: email@example.com
To obtain high-quality bionic design scheme of product form, this paper explores the matching relationship between users’ biological form features and their images from the level of implicit cognition, providing objective basis for effective selection of ideographic biological form features in bionic design of product form. The eye movement experiment was used to screen the biomorphic feature group that was focused on. Questionnaire survey and cluster analysis were used to obtain the main image phrases of the morphological feature group. The two collected materials were combined with implicit cognitive measurement (IAT) to obtain the response time data of the subjects in the classification task. According to Greenwald’s method to verify the effectiveness of the data as a whole, the response time of the combination of various features and images in the compatibility group is sorted to obtain the design guidance conclusion. Taking the white shouldered eagle as an example, the experimental data showed high validity by t-test, and the implicit effect value of the compatibility group was 0.68. According to the analysis of the data, the main image that most matches the head shape characteristics of the white shouldered eagle is “Ferocious”, and the main image that most matches the wing shape characteristics is “Lightsome”, and there is no difference in the implicit cognitive attitude between men and women. The designer takes this as the design reference to improve the effectiveness of the design output. This study can provide more objective suggestions for the bionic design of the related product shape.
© The Authors, published by EDP Sciences, 2020
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