Report Section Scoring for Small Screen Navigation
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Solution Overview
Problem
Large reports accessed by users on network appliances with small screens become cumbersome due to the need to navigate through multiple screens to view key information, as they contain extensive data and computations, making it difficult to access desired information efficiently.
Innovation Solution
Reports are divided into sections, tokenized based on user interactions, and section scores are calculated to identify and display only the sections of interest to the user, with an index of user interests updated dynamically based on interaction monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If reports are displayed in full on network appliances with small screens, then all information is available to users, but navigation becomes cumbersome and time-consuming
Solution Approach 1:
The report is divided into multiple sections or pages that can be selectively displayed. The system segments the full report content into manageable portions, allowing users to access specific sections without navigating through the entire report, thus reducing navigation time while maintaining information accessibility.
Solution Approach 2:
The system extracts and prioritizes key information sections from the full report based on user profiles, roles, and interaction history. Only the most relevant sections are displayed on small screens, eliminating the need for users to navigate through irrelevant content while ensuring critical information remains accessible.
2Loss of information
If all sections of a report are displayed on small screens, then complete information is accessible, but device complexity and user interface complexity increase
Solution Approach 1:
The report interface is segmented into modular sections that can be independently displayed. This modular approach reduces interface complexity by allowing the system to display only relevant sections rather than managing a complex single-view interface for the entire report.
Solution Approach 2:
The system performs preliminary analysis of user profiles, roles, and past interactions to pre-determine which report sections are most relevant to each user. This preliminary action simplifies the interface by automatically filtering and prioritizing content before display, reducing the complexity of user navigation and interface management.
3Ease of operation
If reports are customized for individual users, then information relevance improves, but system complexity increases
Solution Approach 1:
The system automatically customizes report displays for individual users by analyzing their profiles, roles, and interaction patterns without requiring manual configuration. This self-service approach improves information relevance while minimizing system complexity by using automated algorithms rather than complex manual customization interfaces.
Solution Approach 2:
The system uses feedback from user interactions with reports (such as which sections are viewed or highlighted) to dynamically adjust and personalize future report displays. This feedback mechanism improves information relevance over time while maintaining manageable system complexity through iterative learning rather than complex upfront configuration.
Data Source
AI summary
A computer readable storage medium comprises executable instructions to receive a report for access by a user. The report is divided into sections and each section is tokenized based on the user's interests. A section score is calculated for each section in the report. One or more sections are selected for display to the user according to their section scores. The one or more sections are delivered to the user.