Customized CNAM Selection for Mobile Call Credibility
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Mobile device users face challenges in identifying the credibility of incoming calls, particularly from unknown or undesired sources, with limited tools to distinguish between reputable and spam or scam callers, leading to a high rate of unanswered business calls.
Innovation Solution
A system and method that utilizes a call content management platform to identify a calling device number, access a call content API, determine the context of the mobile device number, and select or append a customized caller identification name (CNAM) based on this context, allowing for enhanced caller identification and decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional caller ID display is used, then basic caller identification is provided, but users lack sufficient information to determine call credibility
Solution Approach 1:
The system performs preliminary actions by pre-configuring multiple CNAM options and calling contexts before the call occurs. The calling device stores multiple potential CNAM values associated with different calling contexts, and the selection is made automatically based on the detected context, eliminating the need for real-time user input while providing comprehensive credibility information.
Solution Approach 2:
The system introduces an intermediary mechanism that automatically selects and assigns the appropriate CNAM based on calling context. This intermediary layer between the calling device and the called device resolves the information gap by translating raw call data into meaningful credibility indicators without requiring direct user intervention in the selection process.
2Loss of information
If multiple CNAM options are provided, then caller credibility information is enhanced, but the system complexity increases
Solution Approach 1:
The system implements self-service by enabling the calling device to automatically determine and assign the appropriate CNAM based on its own stored context information. The device uses its internal resources (stored calling contexts, number mappings) to make the selection without external intervention, reducing operational complexity while maintaining information richness.
Solution Approach 2:
The system manages multiple CNAM options by dynamically changing the selection parameter based on calling context. Instead of presenting all options to the user, the system transforms the context information into a specific CNAM selection, effectively managing complexity through parameter transformation rather than explicit option management.
3Loss of information
If real-time CNAM selection is implemented, then call credibility is improved, but processing time increases
Solution Approach 1:
The system eliminates real-time processing delays by performing all CNAM selection logic in advance. Multiple CNAM options and their associated contexts are pre-configured and stored in the calling device before the call occurs. When a call is placed, the system simply retrieves the pre-determined CNAM based on the call's inherent characteristics, achieving instant delivery without processing delays.
4Measurement precision
If customized CNAM is assigned, then caller identification accuracy is improved, but the system requires more sophisticated context determination
Solution Approach 1:
The calling device performs self-service context determination by using its own pre-stored number-to-context mappings and calling characteristics. The device independently evaluates its own call parameters against its stored context database to determine the appropriate CNAM, eliminating the need for complex external context analysis systems while maintaining high identification accuracy.
Data Source
AI summary
One example method of operation may include identifying a call from a calling device destined for a mobile device, identifying a calling device number associated with the calling device and a mobile device number associated with the mobile device, determining whether a stored calling relationship exists between the calling device number and the mobile device number, and appending one of a plurality of caller identification names (CNAM) to the call based on the determination as to whether there is a stored calling relationship.


