To build an innovative model of human-computer interaction, WIMI researches AIGC intelligent interactive interface generation technology

With the advancement of artificial intelligence technology, companies are increasingly willing to apply it to products and services. Among these applications, human-computer intelligent interaction is an area of ​​great concern. In order to build a more convenient and intelligent human-computer interaction model, the R&D team of WIMI Hologram (NASDAQ: WIMI) will build an AIGC intelligent interactive interface generation system based on big data, which is a system that uses large-scale data sets and artificial intelligence Algorithms to automatically generate intelligent interactive interface systems.

In the big data-based AIGC intelligent interactive interface generation system developed by WIMI Holographic Research, big data plays a crucial role. Big data does not only refer to large amounts of data, but more importantly, it includes many types of data and require complex algorithms to process and analyze. The system will first collect a large amount of user data, including but not limited to the user's usage, search history and personal preferences. The system then hands these data to the AI ​​model for training and learns the elements and design styles that users like. The system will automatically generate corresponding codes and designs based on the needs and ideas provided by users to quickly build high-quality intelligence. user-interface. Finally, the system will continuously improve the algorithm and improve the quality of generated content based on user feedback and behavioral data, optimize the generated content, and update the algorithm model to better meet user needs.

The AIGC intelligent interactive interface generation system based on big data is a complex system. Its core modules include data collection and processing module, AI model training module, code generation and design module, optimization and update module, and interface display and testing module. Etc., these modules cooperate with each other to complete the functions of the entire system, which can help designers and developers quickly build high-quality intelligent interactive interfaces and improve work efficiency and productivity.

•Data collection and processing

Collect user data from various data sources, process and filter this data. Data sources can include websites, applications, social media, etc. By collecting and processing data, the system can better understand user preferences and needs, providing a basis for the generation of intelligent interactive interfaces.

•AI model training

By analyzing previously collected and processed user data and applying machine learning algorithms for modeling, we are able to train an AI model. During training, the system will learn the user's preferences for elements, design styles and interaction methods. After training, the AI ​​model can automatically generate matching code and designs based on user needs and creativity.

•Code Generation and Design

After the user provides data and ideas, the system will automatically generate the corresponding code and design. This module is the most critical one in the entire system. During the process of generating code and design, the system will consider the user's actual needs, device compatibility, response speed and other factors to ensure that the generated code and design can meet the user's needs.

•Model optimization and update

By collecting user feedback and behavioral data, the system will continuously improve the algorithm and improve the quality of generated content, thereby achieving a better user experience. In order to meet the changing user needs and technical environment, the system also needs to update its AI model.

•Intelligent interaction display and testing

This module is responsible for displaying the generated intelligent interactive interface to the user, and conducting testing and evaluation. During this process, the system needs to consider multiple aspects such as user experience, interaction effects, and performance to ensure that the generated intelligent interactive interface can meet user expectations and requirements. In order to solve potential problems and defects, the system will simultaneously optimize and adjust the intelligent interactive interface.

WIMI Holographic Research’s AIGC intelligent interactive interface generation technology based on big data is a technological innovation with extremely high potential. It uses artificial intelligence technology and big data analysis technology to quickly build high-quality intelligent interactive interfaces. The goal is to form a more intelligent human-computer intelligent interaction model, which has broad application prospects and can be applied to various types of products and services, including websites, applications, games and other fields. For example, it can be applied to In virtual reality and augmented reality technology, users' immersion and experience are improved by automatically generating realistic scenes and models. In addition, it can also be applied to the Internet of Things fields such as smart homes to achieve remote control and management of home devices by generating intelligent control panels. In the future, with the continuous development and improvement of technology, I believe that AIGC intelligent interactive interface generation technology based on big data will become an important tool in digital transformation.

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