Dynamic Message Content Filter for Context-Aware Recipient Limits
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Solution Overview
Problem
Existing electronic messaging systems fail to dynamically assess and adapt to the recipient's ability to process and respond to messages based on their current context, such as physical proximity, device attributes, activity, and cognitive state, leading to inefficiencies in message delivery and response.
Innovation Solution
A computerized method that determines the physical proximity, device limits, activity, and cognitive state of the recipient to set dynamic text content limits for incoming messages, notifying the sender if the message exceeds these limits and optionally revising the message to comply, ensuring the recipient can efficiently process and respond.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the message content limit is set to a fixed value, then the system is simple to implement, but it cannot adapt to the recipient's varying ability to process messages in different contexts
Solution Approach 1:
The message content limit is transformed from a fixed value to a dynamic parameter that automatically adjusts based on the recipient's current context. The system continuously monitors context factors (location, activity, cognitive state) and recalculates the appropriate message limit in real-time, enabling the messaging system to adapt to varying recipient capacities without manual intervention.
Solution Approach 2:
The system changes the parameter of message content limit from a static configuration to a dynamic value that varies according to contextual conditions. By monitoring context parameters (physical proximity, activity type, cognitive state) and adjusting the message limit parameter accordingly, the system achieves adaptability while maintaining automated operation.
2Productivity
If the system monitors multiple context factors (proximity, device attributes, activity, cognitive state), then message delivery is optimized for recipient capability, but the measurement and detection complexity increases
Solution Approach 1:
The complex task of context assessment is segmented into distinct monitoring modules, each responsible for a specific context factor (physical proximity via GPS, device attributes via device info API, activity via motion sensors, cognitive state via interaction patterns). This segmentation allows each sub-function to be implemented independently and combined to form the complete context awareness system.
Solution Approach 2:
The system employs passive sensing and automated inference to reduce measurement complexity. For example, cognitive state is inferred from interaction patterns rather than direct measurement, and physical proximity is automatically tracked via GPS without user input. The system serves itself by continuously monitoring its own operational context and adjusting message limits autonomously.
3Productivity
If dynamic message limits are implemented based on real-time context, then communication efficiency improves, but the loss of time for context assessment and limit calculation increases
Solution Approach 1:
The system performs preliminary context assessment and pre-calculates message limits in advance, before actual message delivery is needed. By continuously monitoring context factors and maintaining an up-to-date context profile, the system prepares the message limit parameter proactively, so that when a message needs to be sent, the limit is already determined and ready for immediate use.
Solution Approach 2:
The context monitoring and limit calculation operate continuously rather than intermittently. The system maintains a persistent context awareness state that is continuously updated, ensuring that message limits are always current without requiring repeated full assessments. This continuous operation eliminates periodic delays and ensures real-time adaptability.
Data Source
AI summary
Embodiments determine message text content amount limits as a function of recipient context, wherein in some embodiments processors are configured to determine whether a physical proximity distance of a recipient of an electronic message to another, identified person is within a minimum specified threshold distance. In response to determining that the physical proximity distance is within the minimum specified threshold distance, some embodiments compare a total amount of text content of the message to a threshold maximum content value; and, in response to determining that the total amount of the message text content exceeds the threshold maximum content value, notify a sender of the message that the threshold maximum content value currently applies to messages sent to the recipient.