Text Packet Encoding Within Voice Calls for Private Data Entry
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Solution Overview
Problem
Existing voice call systems struggle with privacy issues when users are reluctant to speak sensitive information out loud, leading to potential mishearing and improper transcription, especially in public or noisy environments, and existing alternatives like SMS or DTMF signaling are limited in conveying non-numeric characters or graphical data.
Innovation Solution
Encoding text data into packets marked for text information within voice calls, allowing decoding and storage without requiring separate communication mechanisms, ensuring privacy by storing sensitive information in servers without intervention from customer service agents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users speak sensitive information out loud during voice calls, then communication efficiency is improved, but privacy security deteriorates
Solution Approach 1:
The patent replaces the acoustic/mechanical transmission of sensitive information (speaking out loud) with digital text encoding and transmission through voice call packets. This substitution allows information to be conveyed without audible speech, maintaining communication efficiency while eliminating privacy risks in public environments.
Solution Approach 2:
The system introduces an intermediary text encoding mechanism that translates sensitive information into encoded text packets transmitted through the voice call data channel. This intermediary layer prevents direct acoustic transmission of sensitive data while maintaining the communication flow, thus protecting privacy without sacrificing efficiency.
2Object-affected harmful factors
If users type text information during voice calls, then privacy security is improved, but communication efficiency deteriorates
Solution Approach 1:
The patent merges text input functionality with the existing voice call interface, allowing users to input text information seamlessly during the call without needing to switch to a separate messaging application. This integration maintains privacy security through text-based communication while preserving communication efficiency by keeping the interaction within a single unified interface.
3Loss of information
If customers service agents transcribe spoken information, then communication completeness is improved, but measurement precision deteriorates
Solution Approach 1:
Instead of manually transcribing spoken information, the system uses text encoding to create an exact digital copy of the transmitted information. This eliminates human transcription errors while maintaining complete information transfer, thus improving both measurement precision (transcription accuracy) and communication completeness simultaneously.
Data Source
AI summary
This document describes techniques, apparatuses, and systems for communication of text data through a voice call. Provided is a voice call between a first user equipment and a second user equipment, during which packets are communicated through a voice channel. Information is requested from the first user equipment. Text conveying the requested information is received at the first user equipment. The text is encoded into data indicative of the text and organized into packets that are marked to indicate the text data within. The packets are transmitted to the second user equipment, where the packets are determined to include text data, and the data indicative of the text is decoded using a decoder associated with text data. In doing so, text data can be communicated through the voice call.