Adapting Content Segments by Importance Level
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Solution Overview
Problem
Users face challenges in efficiently reviewing and responding to numerous communications due to the time-consuming nature of manual sorting, often leading to important messages being overlooked.
Innovation Solution
An apparatus and method that determine the importance level of user contacts and adapt content segments based on this level, allowing for prioritization and customization of display through position, color, size, and normalization, enabling users to quickly identify critical communications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually review communications to determine importance, then they can identify important messages, but the process is time-consuming and important messages may be overlooked
Solution Approach 1:
The system performs preliminary analysis of communications by determining importance levels of user contacts and assigning visual indicators (colors, shapes, sizes) to content segments before the user reviews them. This pre-processing allows users to quickly identify important messages without manually evaluating each communication, thus reducing review time while maintaining accuracy.
Solution Approach 2:
The system uses color changes and visual adaptations of content segments to encode importance information. Different colors, shapes, and sizes are assigned to content segments based on the determined importance level of associated user contacts, enabling users to rapidly distinguish important messages from less important ones during browsing.
2Reliability
If users review all received communications, then they do not miss any important messages, but the substantial number of communications makes this impractical
Solution Approach 1:
The system applies different visual qualities to different content segments based on their importance levels. Important content segments are highlighted with distinctive colors, shapes, and sizes, while less important segments have standard or muted appearances. This allows users to focus their attention on high-importance messages while still having access to all communications, maintaining completeness while improving review efficiency.
Solution Approach 2:
The system segments communications into distinct content segments with associated visual indicators based on importance levels. By dividing the communication stream into prioritized segments with visual markers, users can efficiently navigate and review communications without having to examine each message in detail, thus maintaining productivity while ensuring important messages are not missed.
3Ease of operation
If content segments are displayed in a standard format, then the display is simple and consistent, but users cannot quickly identify critical communications among many messages
Solution Approach 1:
The system incorporates color changes and visual adaptations into content segment displays based on importance levels. Critical communications are highlighted with distinctive visual characteristics (colors, shapes, sizes) that stand out from standard content segments. This allows the interface to remain relatively simple while enabling users to quickly identify important messages without increasing overall interface complexity.
Data Source
AI summary
An apparatus may include a data manager configured to manage user contacts or other data segments. The apparatus may further include an importance level determiner configured to determine an importance level for each of the user contacts or other data segments. The importance level may be based on a contextual characteristic, and therefore the apparatus may include a contextual characteristic determiner. Further, the apparatus may include a content segment adaptor configured to adapt a content segment relating to one of the user contacts or other data segments based on the importance level. For example, the content segment adaptor may select the size, color, and/or position of the content segments. Content segments may include avatars, messages, and contact information in some variations.