Product shape style-oriented user cognition and quantitative model building method

Abstract

The invention discloses a product shape style-oriented user cognition and quantitative model building method. The method comprises the following steps of (1) defining feature elements: defining the feature elements based on saliency analysis of feature elements of a product shape style; (2) performing linear contouring of the feature elements: performing the linear contouring on the feature elements in the previous step, thereby performing quantitative description on the product shape style; (3) establishing a product shape style-oriented user cognition mode based on a feature integration theory; and (4) quantizing linear contours of the feature elements. According to the method, the saliency degree of the feature elements to the overall shape in product design can be quantitatively analyzed, so that similarity difference of different product shape styles is quantized and quantitative guidance is provided for highlighting of a brand style and identifiable design.

Description

Technical field [0001] The invention belongs to the technical field of human-computer interaction, and specifically relates to a modeling method of user cognition and quantitative model oriented to product modeling style. Background technique [0002] Product modeling styles are becoming more and more homogeneous, which has become an important issue for corporate brand recognition. In order to communicate and highlight the brand more effectively, companies usually take the recognizability of product style as a competitive strategy. However, in traditional product design activities, the design decision-maker’s response to market demand only relies on personal subjective experience creation. This design strategy can easily trap decision-makers into perceptual judgments, and it is difficult to objectively and quantitatively evaluate the identifiability of product styles. , So that the design positioning deviation. [0003] In the prior art, Xu Jiang et al. put forward a genetic algo...

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Problems solved by technology

However, none of these methods can quantify the difference in similarity between different product styling styles from the perspective of user cognition.

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