Product appearance and perceptual characteristic relational model establishing method and feedback system

Abstract

The invention discloses a product appearance and perceptual characteristic relational model establishing method comprising the following steps that (1) the product appearance shape is deconstructed so that all the attributes after deconstruction of the product appearance and different attribute values are obtained, and the attributes and the attribute values are digitally coded; (2) the sample data of the perceptual characteristics of the sample product appearance are acquired, the perceptual characteristics are classified and processed and the typical perceptual characteristics of the product appearance and the scores of the product appearance of each sample on the typical perceptual characteristics are extracted; and (3) the digital codes of the attributes and the attribute values of the product appearance of each sample are combined with the typical perceptual characteristics of the product appearance to establish a relational model of the product appearance and the composite perceptual characteristics. The invention also discloses a product feedback system comprising the relational model. The guidance of the design direction can be given to the designer in the early stage of design, and the corresponding design inspiration can be provided according to the design requirements of the product so that the design efficiency of the designer can be enhanced.

Description

technical field [0001] The invention relates to the technical field of product design, in particular to a method for establishing a relationship model between product appearance and perceptual features and a feedback system. Background technique [0002] Studies have shown that different groups of people have different perceptual perceptions of products, and designers and users often have certain deviations in their understanding of products without a demand survey. In addition, users' perceptual perception of products is vague and complex. Therefore, the mapping between product styling and user perception is often inaccurate, resulting in products that cannot accurately attract target users. [0003] In the past, researchers often used a variety of methods to realize the conversion and mapping between perceptual imagery and product design elements, such as neural networks, fuzzy sets, genetic algorithms, etc., but they usually defined the distribution of products in a sing...

AI Technical Summary

Problems solved by technology

The perceptual semantic system constructed in this way ignores the integrity of user perceptuality, and does not carry out in-depth mining and visual presentation of product groups in perceptual space.

In addition, previous studies of this type lacked an effective data processing system, and the process of system establishment was time-consuming, and the results were unconvincing. Therefore, we need a system that can handle insufficient and fuzzy raw data to reduce the modeling load and at the same time efficient and accurate system

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