Call Routing by Caller Attributes for Credibility Screening
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Solution Overview
Problem
Mobile device users face challenges in identifying the credibility of incoming calls, particularly from unknown or suspicious sources, with limited tools to determine whether to answer, block, or manage such calls effectively.
Innovation Solution
A method and apparatus that utilize communication processing devices to identify source attributes, retrieve routing conditions from user profiles, and determine whether to route calls to the intended device or an automated management device based on these attributes and conditions, enabling features like call termination, notification, and customized call handling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional caller ID display is used to show incoming call information, then users can identify the caller's name and location, but users still lack sufficient information to determine caller credibility and legitimacy
Solution Approach 1:
The system performs preliminary analysis of caller attributes (number type, geographic location, call patterns) before the user needs to make a decision. Call routing conditions are pre-configured in user profiles, enabling the system to automatically evaluate incoming calls against these criteria and determine credibility before presentation to the user, thus providing missing credibility information without adding complexity to the user interface
Solution Approach 2:
An automated communication management device acts as an intermediary between the incoming call and the user's device. This intermediary evaluates caller attributes against pre-configured routing conditions, makes intelligent routing decisions, and only presents calls that meet user-defined criteria to the user's device, thereby providing credibility assessment without requiring complex user-side processing
2Reliability
If all incoming calls are routed directly to the user's device, then users receive all calls including spam and scam calls, but users miss legitimate business calls due to inability to distinguish credible callers
Solution Approach 1:
The call routing system dynamically adjusts routing decisions based on real-time evaluation of caller attributes against pre-configured conditions. Rather than static routing, the system adapts its behavior by evaluating each incoming call's attributes (number type, location, patterns) against user-defined routing conditions, enabling flexible discrimination between legitimate and spam calls while maintaining high productivity through automated decision-making
Solution Approach 2:
The system uses feedback from caller attribute analysis to automatically adjust call routing decisions. By continuously evaluating incoming calls against pre-configured routing conditions and using the results to determine whether to route to user device or automated management device, the system improves call legitimacy identification while maintaining high productivity through automated learning and adaptation
3Measurement precision
If users manually evaluate each incoming call to determine credibility, then users can potentially identify legitimate calls, but users waste significant time and effort on call screening
Solution Approach 1:
The system performs self-service by automatically evaluating caller attributes and making routing decisions without requiring user intervention. The automated communication management device independently assesses caller credibility by comparing attributes against pre-configured routing conditions and executes routing decisions automatically, providing precise credibility assessment while eliminating time loss associated with manual screening
Solution Approach 2:
Users pre-configure their call routing conditions and preferences in advance, establishing the criteria for call evaluation before calls arrive. This preliminary setup enables the automated system to quickly assess incoming calls against pre-defined standards without requiring users to spend time on individual call screening, thus achieving both high precision and time efficiency
4Object-affected harmful factors
If automated call filtering is implemented to block suspicious calls, then spam and scam calls are reduced, but legitimate calls from unknown but credible sources may be blocked
Solution Approach 1:
The automated call filtering system dynamically adjusts its behavior based on real-time evaluation of caller attributes against user-defined routing conditions. Rather than using fixed blocking rules, the system adaptively routes calls based on current assessment of credibility indicators, reducing spam and scam calls while maintaining flexibility to allow legitimate calls from unknown but credible sources by adjusting routing decisions based on evaluated attributes
Solution Approach 2:
The system changes routing parameters dynamically based on caller attribute evaluation. By modifying routing decisions according to evaluated parameters (caller number type, geographic location, call patterns) against pre-configured conditions, the system achieves effective spam filtering while maintaining adaptability to allow legitimate calls, as routing parameters can be adjusted based on the specific characteristics of each incoming call
Data Source
AI summary
One example method of operation may include one or more of identifying an incoming communication via a communication processing device, identifying communication source attributes associated with a communication source of the incoming communication, retrieving one or more communication routing conditions from a communication recipient profile associated with an intended recipient device identified by the incoming communication, and determining whether to route the incoming communication to the intended recipient device or an automated communication management device based on the communication source attributes and the one or more communication routing conditions.