Caller Qualification System for Spam Call Filtering
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Solution Overview
Problem
Mobile subscribers face inconvenience and potential financial loss due to frequent unsolicited calls from unknown or malicious sources, which they must manually block, often leading to missed important calls.
Innovation Solution
A method that processes incoming communication data to provide users with likelihood indicators categorizing callers as malicious, commercial, or acceptable, allowing users to make informed decisions about answering calls through a communication device's user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If users manually block calls on their phones, then they can filter out some unwanted calls, but they must accept the call first to determine legitimacy, which wastes time and may lead to missed important calls
Solution Approach 1:
The system performs preliminary qualification of the caller party before the called party needs to make a decision. By analyzing signaling data and extracting identification data in advance, the system categorizes callers (malicious, commercial, acceptable) before the user interacts with the call interface, saving the user time and enabling informed decisions about whether to answer.
2Object-affected harmful factors
If users keep their phone on silent mode to avoid disturbance from spam calls, then they are not interrupted by unwanted calls, but they may miss important calls
Solution Approach 1:
The system acts as an intermediary between the user and incoming calls by providing qualification information through the user interface. This intermediary layer analyzes caller data and presents categorized information (malicious, commercial, acceptable) to the user, enabling them to distinguish important calls from spam without needing to keep the phone on silent mode.
3Measurement precision
If the system processes caller data in real-time to provide qualification information, then users receive timely assessment of incoming calls, but processing time for generating qualification information increases
Solution Approach 1:
The system extracts caller party identification data from signaling data as soon as the communication is set up, performing the data extraction and initial processing in advance. This preliminary action reduces the time needed when the user actually needs to make a decision about whether to answer the call.
Data Source
AI summary
A method for processing data associated with a caller party upon setup of an incoming communication is proposed. The method includes: obtaining, from received signaling data associated with the communication, caller party identification data; transmitting a request for qualification of the nature of the caller party including the caller party identification data; receiving, in response to the request, qualification information on the nature of the caller party including respective likelihood indicators for each of one or more categories to which the caller party corresponds; and reporting incoming communication acceptability information that includes the likelihood indicators for each of the one or more categories through a user interface.