Personalized Audio Panel Assembly Using Social Graph Responses

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Solution Overview

Problem

Existing audio content generation methods are disorganized and require manual organization by users, lacking personalized and automated generation based on user interests and social network connections, and do not effectively utilize synthesized moderators to aggregate responses.

Innovation Solution

A system that dynamically generates audio content by accessing user interests and social network graphs to select responders, using a synthesized moderator to ask questions and aggregate responses, which are then assembled into personalized audio content items.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual organization of audio content is used, then users can control content selection, but the process is time-consuming and disorganized

Engineering Contradiction:

Improveaudio content generation speedVSAvoidsystem automation complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system automatically generates audio content by selecting questions and responses from stored data without requiring manual user organization. The automated moderator aggregates responses from multiple responders and assembles them into personalized audio content, allowing the system to serve itself rather than requiring users to manually curate content.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Questions and responses are pre-stored in a database before the audio content generation is needed. The system accesses this pre-organized data and dynamically assembles relevant segments into personalized audio content, eliminating the need for manual organization at the time of content generation.

Inventive Principle:

Principle #10Preliminary action

2Adaptability or versatility

If personalized audio content based on user interests is generated, then user experience improves, but the system complexity increases

Engineering Contradiction:

Improvecontent personalization capabilityVSAvoidsystem structure complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system accesses user interest data and social network graph information to selectively assemble content tailored to each user's specific interests. By filtering and selecting only the relevant questions and responses based on individual user profiles and connections, the system provides personalized content without requiring complete system redesign.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system uses user interest data and social network graphs as intermediary structures that mediate between the raw stored data and the final personalized content. These intermediaries organize and filter information automatically, reducing the complexity of directly managing all possible content combinations.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Ease of operation

If automated aggregation of responses from multiple users is implemented, then content organization improves, but the system requires sophisticated moderation capabilities

Engineering Contradiction:

Improvecontent aggregation automationVSAvoidmoderation system complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The automated moderator systematically aggregates responses from multiple responders by accessing pre-stored data and automatically assembling them into coherent audio content. The system performs its own moderation and organization functions without requiring human intervention, using algorithmic processes to select and sequence responses logically.

Inventive Principle:

Principle #25Self-service

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Provides personalized, automated audio content generation that aggregates responses from users with similar interests, improving user experience by offering organized and relevant audio content, including dynamic visual presentations.

Implementation Method 1

converting text to voice

Methodology Applied

Scientific EffectText-to-speech synthesis:

Data Source

PatentUS12572323B2Dynamic audio content generation

Publication Date: 2026.03.10 WEBTALK LTD

AI summary

There is provided a computer implemented method of dynamic generation of audio content of a panel including questions asked by a moderator and responses by responders, comprising: accessing user interest(s) of a target user, accessing a social network graph that includes the target user, selecting questions correlated with the user interest(s) of the target user, selecting responses to questions by responders, wherein the responders are linked to the target user in the social network graph, wherein the responders are associated with user interests correlated with the user interest(s) of the target user, dynamically assembling audio content(s) from voice records and/or from audio recordings generating by converting text to voice, each audio content including a sub-set of the selected questions and a sub-set of the responses, and providing dynamically assembled audio content(s) for selection thereof for playing on a speaker.