Dynamic User Interface Adjustment for Question Answering Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional cognitive question answering systems provide a single mode of user interface for presenting answers, which does not allow users to control or influence the interaction, making it difficult to offer individualized solutions for efficiently presenting answer responses.
Innovation Solution
A system that adjusts user interface interaction based on user context and detected dialog state information, using a user interface adjustment engine to extract user context information and associate it with specified question and answer granularity options, allowing for different interaction modes such as question clarification, spell correction, and answer formats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single mode user interface is used for presenting answers, then the system is simple to implement and maintain, but the system cannot provide individualized solutions for efficiently presenting answer responses
Solution Approach 1:
The patent implements dynamic user interface modes that can switch between different interaction styles (e.g., concise mode, detailed mode, conversational mode) based on user context and preferences. The system dynamically adjusts the presentation format, information density, and interaction depth without requiring multiple separate systems, thus achieving adaptability while managing complexity through a unified dynamic framework.
Solution Approach 2:
The system changes parameters of the user interface such as answer granularity, information depth, interaction style, and presentation format based on detected user context. By adjusting these parameters within a single system architecture rather than creating multiple systems, the patent achieves versatile user interface adaptation while controlling overall system complexity.
2Ease of operation
If a single-pass user interface is used where the QA system provides an answer using the default presentation style, then the system is easy to operate, but there is no opportunity for the user to control or influence the interaction
Solution Approach 1:
The system automatically detects user context, preferences, and interaction patterns to self-adjust the user interface mode and presentation style without requiring explicit user commands. This self-service capability maintains ease of operation while enabling user control, as the system adapts proactively based on implicit user signals and feedback.
Solution Approach 2:
The patent implements feedback mechanisms where user interactions, preferences, and responses are continuously monitored and fed back to the system. This feedback loop enables the system to learn and adapt to individual user preferences over time, providing user control while maintaining ease of operation through automatic adjustments based on accumulated feedback.
3Adaptability or versatility
If the QA system provides a single interface mode that is the same for all users, then the system is consistent and simple, but individualized solutions for efficiently presenting answer responses are extremely difficult
Solution Approach 1:
The patent creates a universal user interface framework that can perform multiple functions and adapt to different user needs through a single unified system. This multi-functional interface handles various interaction modes, presentation styles, and user preferences within one consistent architecture, achieving personalization without creating separate systems for each user type.
Solution Approach 2:
The system segments the user interface into modular components that can be independently configured and combined based on user context. By segmenting the interface into reusable modules (e.g., answer presentation module, interaction control module, feedback processing module), the system achieves personalized user experiences while managing complexity through modular design and reuse.
Data Source
AI summary
An approach is provided for automatically generating user-specific interaction modes for processing question and answers at the information handling system by receiving a question from a user, extracting user context parameters identifying a usage scenario for the user, identifying first input and output presentation modes for the user based on the extracted user context parameters, monitoring user interaction with the system in relation to the question, and adjusting the first input and output presentation modes based on the extracted user context parameters and detected user interaction with the system.