Dynamic Documentation Customization via Parameter Filtering
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Solution Overview
Problem
Users face difficulties in navigating and accessing relevant information due to information asymmetries between document authors and users, with existing documentation often being overly general and not tailored to specific user needs or system characteristics, making it challenging for users to find and understand the information they require.
Innovation Solution
A system that generates customized documentation by filtering and personalizing content based on user and system-specific parameters, using a document template to create a tailored version of the document that includes only relevant information and incorporates user-specific data, allowing for on-the-fly generation without storing or transmitting confidential data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If documentation is written to apply to a large audience group to allow for high printing numbers, then economies of scale are achieved and cost is reduced, but the documentation becomes overly general and not tailored to specific user needs
Solution Approach 1:
The documentation is segmented into multiple sections with different levels of technical detail. Users can select specific sections based on their expertise and needs, allowing a single documentation set to serve both beginners and advanced users without requiring separate documentation for each user type.
Solution Approach 2:
The documentation system dynamically adapts its content based on user-selected parameters such as expertise level, device type, and operational context. This allows the same base documentation to be customized in real-time for different user scenarios without requiring pre-printed variants.
2Ease of operation
If customized documentation is created for each specific user scenario, then relevance and usability are improved, but production cost and complexity increase
Solution Approach 1:
User preferences, expertise levels, and device configurations are captured in advance through registration forms and system parameter detection. This preliminary data collection enables automatic customization of documentation without requiring complex real-time processing during document generation.
Solution Approach 2:
A master template of comprehensive documentation is created once, then copied and customized for different user scenarios through parameter-based filtering and selection. This eliminates the need to manually create separate documentation versions for each user type.
3Loss of information
If comprehensive documentation covering all possible scenarios is provided, then completeness is improved, but information overload occurs and users cannot easily find relevant information
Solution Approach 1:
Different sections of the documentation provide different levels of detail and technical language appropriate to specific user needs. Novice users receive simplified explanations with more background information, while expert users receive concise technical details, allowing each user to access information at their appropriate level without overwhelming them.
Solution Approach 2:
The documentation content and structure are dynamically adjusted based on user parameters such as expertise level, device type, and operational context. This parameter-based customization filters out irrelevant information while preserving completeness for the specific user scenario.
4Productivity
If electronic documentation is used instead of printed documentation, then distribution ease and environmental impact are improved, but users may have difficulty navigating and accessing relevant information
Solution Approach 1:
The electronic documentation system adds interactive dimensions not available in printed documentation, including hyperlinked navigation, searchable content, and dynamic parameter-based filtering. These additional dimensions enable users to efficiently locate and access relevant information through multiple navigation paths.
Solution Approach 2:
The system incorporates user feedback mechanisms that track which sections users access and how they interact with the documentation. This feedback is used to improve navigation structures, adjust content presentation, and refine parameter-based filtering to better match user information needs.
Data Source
AI summary
A documentation file is received that includes a plurality of sections and user system parameter data is accessed that identifies attributes of a computing system of a particular user. A subset of the plurality of sections are determined to be presented to the particular user based on the attributes of the computing system and a value for inclusion in content of a particular one of the subset of sections is determined based on the attributes. A customized version of the documentation file is presented on a display device that includes the particular section, omits sections in the plurality of sections outside the subset of sections, and includes the value in presentation of the particular section.