Voice-Based Social Media Multimedia Insertion

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Solution Overview

Problem

Current social media applications do not effectively allow users to insert various types of information, such as audio, video, and document files, into conversations between devices without using voice channels, limiting the ability to share multimedia content seamlessly.

Innovation Solution

A method and apparatus that utilize speech-to-text algorithms to convert speech data into text, allowing the examination of this text for relevant information on a data network, and enable the insertion of multimedia files into conversations through a user-defined or system-defined command, without relaying the command to other parties, using voice browsing technology to facilitate the sharing of files and links.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If voice channels are used for communication in social media, then real-time interaction is enabled, but the ability to share multimedia files (audio, video, documents) is limited

Engineering Contradiction:
Improvemultimedia sharing capabilityVSAvoidcommunication channel requirements
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent enables a single communication system to perform multiple functions: voice communication, text messaging, and multimedia file sharing. The system allows users to share audio files, video files, and document files through the same interface used for traditional messaging, making the communication platform universally applicable for different types of content sharing without requiring separate dedicated channels for each media type.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Productivity

If traditional voice channels are used for communication, then simple text-based interaction is sufficient, but seamless multimedia content sharing is prevented

Engineering Contradiction:
Improvecontent sharing efficiencyVSAvoiduser interaction complexity
Core Design Contradiction:
ProductivityVSEase of operation

Solution Approach 1:

The system automatically handles multimedia file sharing operations without requiring complex user interventions. When a user initiates a share command, the system automatically processes the file transfer, manages the communication between devices, and integrates the shared content into the conversation thread. This self-service approach allows efficient multimedia sharing while maintaining simple user interaction, as the system manages the complexity in the background.

Inventive Principle:
Principle #25Self-service

3Extent of automation

If voice-based communication is implemented, then real-time conversation is achieved, but automatic insertion and display of relevant multimedia information is limited

Engineering Contradiction:
Improveautomatic content insertionVSAvoidcontextual information completeness
Core Design Contradiction:
Extent of automationVSLoss of information

Solution Approach 1:

The system implements feedback mechanisms where shared multimedia files are automatically inserted into the conversation thread and made accessible to all participants. When a user shares a file, the system provides feedback by displaying the shared content in the conversation flow, allowing other users to view and interact with the multimedia content. This automatic insertion ensures that contextual information is preserved and made available to all conversation participants without manual intervention.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS9972303B1Media files in voice-based social media
Publication Date: 2018.05.15 OPEN INVENTION NEWTORK LLC
  • US9972303B1 patent drawing
  • US9972303B1 patent drawing
  • US9972303B1 patent drawing

AI summary

An apparatus, method and computer program for inserting information into a conversation between two or more devices is provided. In one embodiment, speech data is received at a device. The speech data is analyzed and converted into text utilizing one or more speech-to-text algorithms. The text is examined to locate information that may be related to the text on the data network.