Message Scheduling System Using Information Gain Model
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Solution Overview
Problem
Conventional methods fail to efficiently integrate and present information from diverse sources in a way that maximizes information gain, as they often rely on first-come-first-served or priority-based processing, neglecting temporal, visual, and spatial considerations.
Innovation Solution
A system that processes messages using an information gain model to determine significance and display time, incorporating an acquisition model and penalty model to optimize message scheduling and visual presentation on a display terminal, ensuring maximum information gain and preventing message overlap.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional first-come-first-served or priority queue methods are used to process messages, then messages can be displayed in a simple manner, but information gain is not maximized due to neglect of temporal, visual, and spatial considerations
Solution Approach 1:
The patent transforms the message processing approach by changing parameters from simple priority values to a comprehensive information gain model that incorporates temporal decay factors, visual attention metrics, and spatial display constraints. This allows the system to optimize which messages to display and when, maximizing information gain while accounting for human cognitive limitations and display resource constraints.
Solution Approach 2:
The system dynamically adjusts message priorities based on real-time factors including user attention state, temporal urgency, and display availability. Rather than static priority queues, the information gain model continuously reevaluates message importance, allowing the processing system to adapt to changing conditions and optimize information delivery throughout the day.
2Quantity of substance
If multiple messages are displayed simultaneously to provide comprehensive information, then information coverage increases, but user distraction and cognitive overload increase
Solution Approach 1:
The patent applies local quality by varying the visual presentation characteristics of different messages based on their individual properties and the user's current state. Important urgent messages receive prominent display with high visual weight, while less critical messages are subdued or deferred. This localized optimization of display quality allows comprehensive information coverage while preventing overall cognitive overload.
Solution Approach 2:
The system implements periodic evaluation of message relevance and user attention state, displaying messages in rhythmic bursts rather than continuous streams. By periodically assessing which messages remain relevant and when the user is most receptive, the system delivers information in manageable portions that maximize retention while minimizing distraction.
3Loss of information
If all messages are processed and displayed to ensure complete information delivery, then information completeness improves, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary filtering and prioritization of messages using the information gain model before full processing and display. By pre-evaluating messages against temporal, visual, and spatial criteria, the system identifies which messages warrant immediate processing and which can be deferred or discarded, significantly reducing processing time while maintaining information completeness for relevant messages.
Solution Approach 2:
The patent implements a selective discarding mechanism where messages that exceed temporal relevance thresholds or spatial display constraints are discarded from the active processing queue. However, the system recovers potentially important information by maintaining condensed representations or alerts that can be expanded if needed, balancing processing efficiency with information completeness.
Data Source
AI summary
The embodiments provide a system for maximizing information gain for messages. The system may include an information processing unit configured to receive a plurality of messages having a plurality of attributes, and an integrated optimizer configured to receive an information gain model representing information gain of the plurality of messages and output a message schedule for displaying at least a subset of the plurality of messages on a display terminal including calculating a significance and display time for each of the plurality of messages using the information gain model and the plurality of attributes such that the information gain is substantially maximized. The calculated significance may determine which of the plurality of messages are included in the message schedule and the display time may provide a time period for which each message of the subset is displayed.