Incoming Call Management via Voice Interaction and Risk Classification
Solution Overview
Problem
Users face disturbances from harassing phone calls, and existing solutions do not effectively differentiate between important and unwanted calls without affecting the user experience.
Innovation Solution
An incoming call management method that identifies calling numbers through voice messages, using a preset voice interaction prompt to gather information from callers not in the user's address book, and marks numbers as suspicious based on response consistency and behavior patterns, assigning risk levels for filtering calls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If all incoming calls are answered or blocked without differentiation, then user experience is simplified, but important calls may be missed or harassing calls cannot be effectively filtered
Solution Approach 1:
The system performs preliminary actions by automatically answering incoming calls and collecting voice messages before user intervention is needed. The voice interaction prompt is prepared in advance, and the system proactively gathers caller information through automated voice collection, allowing users to review and decide later without being disturbed by continuous call interruptions.
Solution Approach 2:
An automated voice interaction system serves as an intermediary between the user and incoming callers. This intermediary collects voice messages, processes them through speech-to-text conversion, and presents summarized information to users, eliminating the need for users to directly handle every incoming call while ensuring important calls are not missed.
2Measurement precision
If voice interaction prompts are used to identify callers, then call identification accuracy is improved, but system complexity increases
Solution Approach 1:
The system replaces complex mechanical or manual caller identification methods with voice-based interaction and speech-to-text conversion technology. Instead of requiring users to manually verify caller identity through multiple steps, the system uses automated voice collection and text processing to accurately identify and categorize callers, reducing system complexity while improving accuracy.
3Productivity
If automated message leaving is implemented, then productivity is improved, but loss of information may occur
Solution Approach 1:
The system implements feedback by collecting voice messages from automated call responses, converting them to text, and presenting this information back to users for review. Users can then decide whether to callback or take other actions based on the provided information, ensuring no important caller information is lost while maintaining high productivity through automated processing.
Data Source
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AI summary
The present disclosure is an incoming call management method, which includes: receiving a call request sent by a calling terminal; determining whether the calling number is stored in an address book corresponding to the called number; if the calling number is stored in the address book, sending the call request to a first called terminal corresponding to the called number to connect to the incoming call; if the calling number is not stored in the address book, configuring the calling terminal to play a preset voice interaction prompt, receiving a voice message sent by the calling terminal; and sending the voice message and the calling number to the first called terminal. The present disclosure also provides an incoming call management apparatus. The present disclosure can initially identify the calling number through voice message including a calling user attribute and an incoming call reason, so as to improve the user experience.