Behavioral Tracking System Selective Event Undo
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Solution Overview
Problem
Conventional behavioral tracking systems lack user control over event classification and are limited in undoing unwanted events, often requiring system restore points that undo all subsequent events.
Innovation Solution
A behavioral tracking system that allows users to identify and classify unclassified events as unwanted and undo specific unwanted events based on user input, using a combination of automated and manual classification methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If system restore point is used to undo unwanted events, then the unwanted event is undone, but all events occurring after the restore point are also undone
Solution Approach 1:
The patent segments the undo operation to affect only the specific unwanted event rather than all events since the restore point. The system identifies and isolates the target event for reversal while preserving other system actions, achieving selective undo functionality.
Solution Approach 2:
The patent extracts the unwanted event from the sequence of events and applies undo operation only to that specific event. This extraction approach allows the system to remove the harmful event while leaving other events intact, avoiding the loss of legitimate system actions.
2Productivity
If automated classification is used, then classification speed is improved, but user control over classification is lost
Solution Approach 1:
The patent implements feedback mechanisms where users can review automated classifications and provide corrections or additional input. The system uses this feedback to refine future automated classifications, maintaining both speed and user control through an iterative improvement process.
Solution Approach 2:
The patent creates a dynamic classification system that can switch between automated and manual modes based on user needs. The system adapts its operation mode, allowing users to intervene when necessary while maintaining automated operation for routine cases, thus balancing speed and control.
3Ease of operation
If manual classification is used, then user control is improved, but classification time increases
Solution Approach 1:
The patent applies partial automation where only certain events require manual classification while others are handled automatically. This partial action approach reduces overall classification time while maintaining user control for events that need it, avoiding the need to manually classify every event.
Solution Approach 2:
The patent enables the system to self-classify events using automated analysis for routine cases, freeing users to focus only on events requiring manual review. This self-service capability reduces the time users spend on classification while maintaining control when needed.
Data Source
AI summary
A behavioral tracking system, method, and computer program product are provided for undoing events based on user input. In use, a plurality of unclassified events is identified on a system utilizing behavioral tracking. Additionally, input associated with at least one of the unclassified events is received from a user of the system for classifying the at least one of the unclassified events as an unwanted event. Further, the at least one unwanted event is undone in response to the receipt of the input.