A user emotion-oriented mood board interface design method
A user-oriented and interface design technology, applied in neural learning methods, computing, computer components, etc., can solve the problems of incomplete interface design optimization, difficult to directly think of mapping vocabulary, and lack of design guidance steps.
Active Publication Date: 2021-09-14
ZHEJIANG UNIV CITY COLLEGE
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Problems solved by technology
[0003] Although the mood board design method can promote the generation of creativity, it is found in the field of interface design that because the mood board design method is widely applicable, it is inevitable that the optimization of the interface design is not comprehensive, and some problems arise: people's associations sometimes lead to thinking Limitation phenomenon, it is not easy to directly think of the mapping vocabulary from the original emotional words
At the same time, the process of extracting design elements from images may be too abstract for beginners, lacking specific design guidance steps
In addition, although the mood board can be well applied to visual design at this stage, it is not obvious to the interactive animation design
Method used
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Embodiment
[0043] Embodiment: Optimizing the "Wei Pai Tang app" of the Wenwan e-commerce business with the inventive method, including the following steps:
[0044] (1) Determine the original words
[0045] First of all, use the web crawler system Pyspider to crawl online comments on the "Wei Pai Tang app" by users in forums, Zhihu and other channels, and sort them out to remove repeated comments and meaningless comments. Then, through the topic extraction method LDA text analysis technology of the hidden Dirichlet distribution, the LDA module in the python package scikit-learn is selected to extract the topic of the online comment data, and the adjective is selected as the product sentiment word that the user cares about, and the frequency ranking is selected. The first three adjectives are original words, and the derivative words selected in this case are "authentic", "classic", and "precious".
[0046] (2) Analysis words
[0047] The corpus is input into the Word2vec model and throu...
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The invention relates to a user emotion-oriented mood board interface design method, comprising the steps of: 1) determining the relevant emotional semantic vocabulary that can best represent the user's emotional needs as original words through a text analysis method; 2) using machine learning and text analysis methods according to 3) Use the network to collect corresponding images based on the analyzed words; 4) Use the cluster analysis method to obtain design elements such as texture, color, and operation effects based on the images; 5) Extract the basis Design the color, icon, composition and other design of the design interface based on the color scheme, pattern elements and other design elements. The beneficial effects of the present invention are: the present invention comprehensively utilizes the mood board method, big data and text analysis technology, and various image data processing methods to help designers, especially inexperienced novice designers, in the app interface design process, faster , More accurately cater to the emotional needs of users, and improve the efficiency of obtaining design elements.
Description
technical field [0001] The invention relates to the technical field of interface design, in particular to a method for designing a mood board interface oriented to user emotions. Background technique [0002] The mood board design method is the process of connecting vague emotional vocabulary with images through semantic association, and extracting design elements from images for design. The mood board design method is divided into two parts: vocabulary concept extraction and design application. The specific design process of the existing mood board design method is as follows: determine the original words (i.e. the design theme); get the mapping vocabulary according to the original word association; map the vocabulary according to Visual mapping, mental mapping, and physical mapping are classified in three directions; corresponding images are collected according to the mapping vocabulary; design elements are extracted according to the images for design output. [0003] Alt...
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IPC IPC(8): G06F16/332G06F16/9535G06F40/30G06K9/62G06N3/08G06T11/00
CPCG06N3/084G06T11/001G06F40/30G06F18/23213
Inventor 杨程杨洋周宇梁
Owner ZHEJIANG UNIV CITY COLLEGE