Content Linking Indicators for Seamless Secondary Information Access
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Solution Overview
Problem
Current systems lack an efficient method to link and present secondary content related to primary content, such as authoritative texts, to users in a seamless and user-friendly manner, especially when accessing content from various public sources.
Innovation Solution
A content linking system that utilizes machine-learning algorithms and data analysis to identify and tag relevant secondary content, allowing users to access and link secondary content directly from a graphical user interface, with indicators on primary content indicating availability and enabling user selection for further information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If hyperlinks are used to provide additional information, then users can access relevant content, but users are redirected to new screens which disrupts the reading flow
Solution Approach 1:
The patent implements a popup window that displays secondary content within the context of the primary content page. The popup window is nested within the main content area, allowing users to access additional information without leaving the current page. The popup can be dismissed and the user returns to the original reading position, maintaining reading continuity while providing access to relevant information.
2Ease of operation
If mouse-over effects are used to show related information, then users can see additional content without clicking, but the interface becomes cluttered with popups
Solution Approach 1:
The patent implements a dynamic indicator system that changes state based on user interaction. The indicator appears next to primary content elements and can be activated by user actions such as hovering or clicking. The indicator dynamically displays secondary content in a controlled manner, showing only when needed and hiding when not needed, thus avoiding constant clutter while maintaining accessibility.
3Reliability
If manual content linking is implemented, then content can be connected, but the process is time-consuming and labor-intensive
Solution Approach 1:
The patent implements an automated content linking system that uses machine learning algorithms to automatically identify and create links between primary content and secondary content. The system analyzes content metadata, keywords, and contextual information to establish relevant connections without manual intervention. This self-service approach maintains high linkage accuracy while dramatically reducing the time and labor required compared to manual content linking.
Data Source
AI summary
A computing apparatus includes a processor and a memory storing instructions that, when executed by the processor, configure the apparatus to cause presentation of a graphical user interface (GUI), the GUI depicting primary content, cause presentation of an indicator corresponding to a portion of the primary content, the indicator indicating availability of secondary content, detect user selection of the indicator, responsive to the detection of the user selection of the indicator, cause presentation of an index of secondary content associated with the portion of the primary content, the index of secondary content includes secondary content identifiers that are user selectable, detect user selection of a selected secondary content identifier from the index of content, responsive to the detection of the user selection of the selected secondary content identifier, retrieve selected secondary content associated with the selected secondary content identifier, and cause presentation of the selected secondary content.