AI Tag Recommendation Plug-In for Interface Data Planning
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Solution Overview
Problem
Managing data planning and tagging in interface design is difficult and time-consuming.
Innovation Solution
A server computer system with a generative artificial intelligence module provides a plug-in to interface design software, generating recommendations for data tags based on entity-defined formats, and completing tagging upon acceptance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual data planning and tagging is performed in interface design, then flexibility and control are maintained, but the process becomes difficult and time-consuming
Solution Approach 1:
The system enables self-service automated tagging by allowing the AI model to automatically generate data tags and planning recommendations based on interface design inputs, reducing the need for manual tagging operations while maintaining consistent quality standards
Solution Approach 2:
The system performs preliminary action by pre-defining tag formats, structures, and planning templates before the actual tagging process, enabling the AI to quickly generate appropriate tags without requiring manual configuration during the design process
2Productivity
If automated tagging systems are implemented, then productivity increases, but system complexity increases
Solution Approach 1:
The system uses an intermediary approach by introducing a trained AI model that acts as a mediator between the interface design process and data tagging requirements, translating design elements into appropriate tags automatically without requiring complex manual configuration systems
Solution Approach 2:
The system applies parameter changes by training the AI model on specific entity-defined formats and tagging conventions, allowing the same automated system to adapt to different tagging requirements by changing training parameters rather than restructuring the entire system
Data Source
AI summary
A server computer system comprises a communications module; at least one processor coupled with the communications module; and a memory coupled to the processor and storing processor-executable instructions which, when executed by the at least one processor, configure the at least one processor to provide a plug-in to an interface design software application executing on a computing device, the plug-in allowing the server computer system to communicate with the computing device to monitor design of an interface within the interface design software application; generate at least one recommendation for tagging at least one element of the interface; and send, for display on a display screen of the computing device within the interface design software application, the at least one recommendation for tagging the at least one element. The system may include a generative artificial intelligence module trained to generate the at least one recommendation.