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Application And Research Of Interaction Design In Artificial Intelligence Fiber Testing System

Posted on:2020-10-18Degree:MasterType:Thesis
Country:ChinaCandidate:D D ZhaoFull Text:PDF
GTID:2381330596495613Subject:Industrial design engineering
Abstract/Summary:PDF Full Text Request
With the progress and development of society,people's living standards have gradually improved,and people's pursuit of clothing has been further improved.In people's wardrobes,textile clothing belongs to a class of clothing that people use in daily life is quite high.Textiles for household items also occupy most of the market.With the birth of blended fibers,the blending ratio has become a measure of the quality of textile products.The principle of the fiber testing system studied in this paper is to first cut the textile to be tested into a fiber,put it under the microscope,and then use the fiber.The test system collects the fiber image and marks the image.Finally,with the powerful computing power of the “Tianhe No.2”supercomputer,the composition and content of the fiber are calculated by artificial intelligence,and it can also be applied to the reverse engineering of textile and garment.The interaction design and research of artificial intelligence fiber testing system can improve the testing efficiency of the system,reduce the labor cost,and promote the development of the textile and apparel market.How to use interactive design knowledge to service artificial intelligence fiber testing system design to improve the user experience of the system is the purpose of this paper.This article will separately design and verify several chapters from the overview of artificial intelligence fiber testing system,the analysis of interaction design in artificial intelligence fiber testing system,the application principle analysis of interaction design in artificial intelligence fiber testing system,and the interactive improvement scheme of artificial intelligence fiber testing system.open discussion.Firstly,the general situation of artificial intelligence fiber testing system and the development status of interaction design and research status at home and abroad are summarized.Other research methods of fiber testing are summarized,and the development status of interaction design is analyzed.In order to improve and improve the working method of artificial intelligence fiber testing system,Subsequent research and design make a theoretical foundation.At the same time,the interactive design method,such as brainstorming method and user interview method,is used to analyze and study the interaction design ofartificial intelligence fiber testing system to find out the interaction problem of the system.Then,combined with the design principles of interaction design,such as consistency principle,state visibility principle,user controllable principle,fault tolerance principle,etc.,analyze and study the application of interaction design in artificial intelligence fiber testing system.Finally,combined with the above research and analysis,the interactive scheme design of artificial intelligence fiber testing system is carried out,and comprehensive testing and verification are carried out to make the design scheme more scientific and feasible.Research on user behavior and psychology of fiber testing system,establish a user-centered interaction design model,and finally get an interactive design model around the user's textile testing system,so that the design results can be upgraded from “available” level to “easy to use” and even The level of "learning".The interaction design of the artificial intelligence fiber test system plays a big role in the operation of the experiment,which is related to the efficiency of the test.A user-based interactive system not only makes the operator feel good and improves the work efficiency,but also the product business function.Improvement and integration,streamlined processes,and efficient communication of information play a crucial role.
Keywords/Search Tags:Interactive Design, artificial intelligence, Fiber test, user research
PDF Full Text Request
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