Early Call Information Processing for Pre-Answer Call Categorization
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Solution Overview
Problem
Existing call systems provide limited information during setup, requiring recipients to answer calls before receiving richer details, hindering efficient call categorization and response.
Innovation Solution
A system that utilizes early call information, including sensor data from calling devices, to categorize calls using machine learning models, determining categories and priorities before the call is answered.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If call systems provide limited information during setup, then device complexity is reduced, but measurement precision of call categorization deteriorates
Solution Approach 1:
The system extracts and processes call information during the call setup phase before the call is answered. This preliminary action allows the receiving device to analyze caller ID, call duration, time of day, and other metadata to predict call category and priority, enabling accurate categorization without requiring complex real-time processing during the actual call.
Solution Approach 2:
The patent introduces an intermediary processing layer that sits between the calling device and the receiving device. This intermediary extracts, analyzes, and stores call information in a structured format, acting as a mediator that simplifies the information flow and enables accurate categorization without overwhelming the receiving device with complex data processing requirements.
2Loss of information
If recipients must answer calls before receiving richer details, then response time is reduced, but loss of information increases
Solution Approach 1:
The system performs preliminary extraction and analysis of call information during the call setup phase. By capturing and processing metadata such as caller ID, call duration, time of day, and network information before the call is answered, the system preserves critical call details without requiring the recipient to wait until after answering to access this information.
Solution Approach 2:
The patent ensures continuous availability of call information by maintaining an information buffer that stores extracted call details throughout the call setup process. This continuous preservation of useful information allows the receiving device to access complete call metadata at any point, eliminating information loss while maintaining efficient call handling.
3Productivity
If early call information is collected and processed, then productivity of call categorization is improved, but device complexity increases
Solution Approach 1:
The system performs all heavy information extraction and analysis tasks during the call setup phase before the call is answered. By completing these preliminary actions in advance, the receiving device can quickly access pre-processed call categories and priorities without needing to perform complex real-time processing, thus improving productivity without significantly increasing operational complexity.
Solution Approach 2:
The patent implements a self-service information extraction mechanism where the calling device automatically provides structured call information during setup. The receiving device simply retrieves and processes this pre-formatted information, reducing the need for complex processing logic and enabling fast categorization through minimal computational effort.
Data Source
AI summary
Systems and methods for categorizing received calls based on early call information are disclosed. Early call information can be audio, video, other sensor data, or other data collected via a calling device during call setup or any time before the call is routed to or accepted at a receiving device. A call and early call information associated with the call are received. A call characteristic, which can be a purpose or topic of the call, is identified using the early call information. Based on the call characteristic, the received call is categorized and a relative priority for the call is assigned. The call can be routed based on the early call information, and a suggested response to the call can be identified. In some implementations, a machine learning model is trained to categorize received calls based on early call information.