Alert Consolidation via Interaction Monitoring
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Solution Overview
Problem
Users often ignore multiple alerts due to information overload, making them ineffective in prompting necessary actions.
Innovation Solution
A system that monitors interactions between a user's compute device and remote entities to generate a real-time stream of event information, allowing software applications to identify predefined triggers and output targeted messages, known as 'whispers', which consolidate and highlight important alerts, thereby optimizing user workflow.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple alerts are provided to users, then comprehensive information coverage is improved, but user attention and effectiveness deteriorate due to information overload
Solution Approach 1:
The patent segments alerts into different priority levels (critical, important, informational) and delivers them through different channels or formats. Critical alerts receive immediate prominent notification, while less urgent information is batched or consolidated, preventing information overload while maintaining comprehensive coverage.
Solution Approach 2:
The system extracts and isolates critical information from the mass of alerts, presenting only the most important items immediately to the user. Less critical information is stored for later review or aggregated into summary reports, allowing users to focus on high-priority items without being overwhelmed by comprehensive but overwhelming detail.
2Loss of information
If all alerts are presented to users, then complete information delivery is improved, but user response time deteriorates due to filtering complexity
Solution Approach 1:
The system performs preliminary filtering, sorting, and prioritization of alerts before they reach the user. Alerts are pre-categorized by urgency, relevance, and action required, so users receive information in an optimal sequence for quick decision-making without needing to spend time filtering themselves.
Solution Approach 2:
The system incorporates feedback mechanisms where user responses to alerts are tracked and used to refine future alert delivery. The system learns which types of alerts require immediate attention versus those that can be batched, optimizing the balance between complete information delivery and rapid response times based on actual user behavior patterns.
Data Source
AI summary
A compute device can monitor interactions with a user and/or remote entity. A real-time stream of event information can be generated by the compute device based on the interactions. At least one software application operating in the compute device can analyze the real-time stream of event information to identify a predefined trigger. In response to identifying the predefined trigger, a pre-defined message can be output.


