Context-Based Help System for Dynamic Content Selection
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Solution Overview
Problem
Existing help systems often fail to provide relevant information to users as they do not accurately identify context-based needs, leading to users being unaware of available capabilities and struggling to formulate queries that match relevant topics.
Innovation Solution
A context-based help system that identifies the context of a computer program, including displayed information and user metadata, to dynamically select and present appropriate help information without requiring a user query, using a mapping of context criteria to help articles and ranking mechanisms based on user interactions and feature weights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a traditional help system with indexed keywords and search algorithms is used, then the system can handle generic help requests, but it fails to provide relevant information when users do not know how to formulate queries or are unaware of available capabilities
Solution Approach 1:
The system performs preliminary analysis of the user's context (current screen, selected elements, application state) before the user even formulates a query. This allows the system to proactively identify and present relevant help topics based on what the user is currently doing, rather than waiting for the user to know what to ask.
Solution Approach 2:
The help system automatically detects the user's context and generates relevant help information without requiring the user to manually search or formulate queries. The system serves itself by monitoring its own application context and providing appropriate help topics, making the help process autonomous and context-aware.
2Productivity
If the help system requires users to formulate specific queries or select from indexed keywords, then the help database can be searched efficiently, but users who are not experienced with the application cannot effectively use the help system
Solution Approach 1:
The system performs preliminary analysis of the user's context (current screen, selected elements, application state) before the user even formulates a query. This allows the system to proactively identify and present relevant help topics based on what the user is currently doing, rather than waiting for the user to know what to ask.
Solution Approach 2:
The help system automatically detects the user's context and generates relevant help information without requiring the user to manually search or formulate queries. The system serves itself by monitoring its own application context and providing appropriate help topics, making the help process autonomous and context-aware.
3Quantity of substance
If the help system displays all matching topics based on keyword searches, then comprehensive coverage is achieved, but users become overwhelmed and cannot identify the most relevant topic
Solution Approach 1:
Instead of treating all help topics uniformly, the system applies local quality by prioritizing and highlighting the most relevant topics based on the user's specific context. The help topics are ranked and presented with the most relevant ones first, allowing users to quickly identify and select the topic they need without being overwhelmed by the complete set of available topics.
Data Source
AI summary
A system for presenting help information relating to a user of a computer program based on context of the computer program is provided. The system receives an indication of a generic request and identifies the context of the computer program at the time of the request. The context may include information that is currently being displayed by the computer program and metadata relating to the user and the computer program. The system selects help information based on the context such that the selected help information varies based on information that is currently being displayed and the metadata. The system then presents the help information to the user.