Context-Aware Generative AI Q&A Within the Active Work Window
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Solution Overview
Problem
Conventional question-answering services based on generative AI generate responses that are not contextually relevant and require users to manually input target information and context outside their work environment, disrupting workflow.
Innovation Solution
A method and system that determine a focus object within a user's computing device and provide contextually appropriate responses using a generative AI service, allowing query input and response display without leaving the work environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users use conventional generative AI services, then they can generate responses to queries, but the responses are not contextually relevant and require users to manually input target information outside their work environment
Solution Approach 1:
The patent merges the AI service with the user's existing application or browser by embedding the AI interface within the same window. The AI service is integrated into the application structure, allowing users to access and interact with AI functionality without switching to a separate service area. This integration enables the system to automatically detect the current work context and provide relevant responses while maintaining the user's workflow within the same application environment.
Solution Approach 2:
The system automatically determines the focus object and retrieves relevant context information without requiring manual input from the user. The AI service self-identifies the current application context, selects relevant documents or data, and generates appropriate responses automatically. This eliminates the need for users to manually specify target information while maintaining high response relevance to their actual work context.
2Reliability
If users leave their application to use AI service, then they can input queries, but they must close related services or documents and move to a separate area which is inconvenient
Solution Approach 1:
The AI service is embedded within the application or browser window, merging the AI functionality with the user's existing work environment. Users can input queries and receive responses within the same application context without switching to a separate AI service area. This integration eliminates the need to close related services or documents while maintaining accurate responses through automatic context detection.
Solution Approach 2:
The system automatically determines the focus object and retrieves relevant context information in advance before the user needs to input their query. By pre-identifying the current work context and preparing relevant information, the system eliminates the need for users to manually specify targets and reduces the time required for context switching between applications.
3Measurement precision
If users manually input target information and context, then they can get specific answers, but they have to ask multiple questions or input lengthy filenames which is cumbersome
Solution Approach 1:
The AI service automatically determines the focus object and retrieves relevant context information without requiring manual input from the user. The system self-identifies the current application context, selects relevant documents or data, and generates appropriate responses automatically. This eliminates the need for users to manually specify target information while maintaining high response relevance to their actual work context.
Solution Approach 2:
The system changes the input parameter from manual text input to automatic context detection. Instead of requiring users to input lengthy filenames or specific target information, the system automatically detects the current work context, application state, and relevant objects, transforming the interaction into a more streamlined process that maintains answer specificity without increasing input complexity.
4Productivity
If users want to maintain workflow during task, then they should not leave the application, but conventional AI services require users to move to a separate area
Solution Approach 1:
The AI service is embedded within the application or browser window, merging the AI functionality with the user's existing work environment. Users can input queries and receive responses within the same application context without switching to a separate AI service area. This integration eliminates the need to close related services or documents while maintaining accurate responses through automatic context detection.
Solution Approach 2:
The integrated AI service provides multiple functions within a single application environment, including query input, context detection, information retrieval, and response generation. This multi-functionality allows users to maintain their workflow while accessing AI capabilities, as the same application window serves both the primary work function and the AI interaction function without requiring users to move to a separate area.
Data Source
AI summary
A question-answering method may comprise determining a focus object in response to a predefined response-requesting shortcut input, displaying a prompt input window adjacent to the focus object, and displaying a response display window at an input position of the prompt input window for a query input into the prompt input window, wherein a response displayed in the response display window is a response generated by a generative artificial intelligence (AI) service using the focus object and the query.