Experience Content Structuring for Trustworthy Narrative Data Sharing

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Solution Overview

Problem

Existing social media platforms fail to effectively share and monetize personal experiences due to their lack of coherence and trustworthiness, preventing customers from accessing valuable customer experience data and brands from obtaining validated insights.

Innovation Solution

A method and system that processes experience-content data through natural language narratives, utilizing a conversational agent to capture and analyze data, and a blockchain system to link and monetize experiences, enabling secure and trustworthy data sharing among consumers, brands, and market researchers.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If personal experiences are shared on social media platforms, then the quantity of shared content increases, but the coherence and trustworthiness of the experiences deteriorate

Engineering Contradiction:

Improvequantity of shared contentVSAvoidcoherence and trustworthiness of experiences

Core Design Contradiction:

Quantity of substanceVSReliability

Solution Approach 1:

The patent segments personal experiences into distinct structured components including actants (characters/agents), actions (verbs), objects (targets), and contextual elements. This segmentation allows each experience to be broken down into analyzable units that can be processed individually, ensuring coherence while enabling large-scale sharing across platforms.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent transforms unstructured personal experiences into structured data with specific parameters and categories. By changing the parameter representation from free-text narratives to standardized structured formats with defined fields, the system maintains trustworthiness and coherence even as the quantity of shared content increases.

Inventive Principle:

Principle #35Parameter changes

2Quantity of substance

If brands access customer experience data from multiple sources, then the quantity of available data increases, but the difficulty of detecting and measuring valuable insights increases

Engineering Contradiction:

Improvequantity of available dataVSAvoiddifficulty of detecting valuable insights

Core Design Contradiction:

Quantity of substanceVSDifficulty of detecting and measuring

Solution Approach 1:

The patent extracts key meaningful elements from unstructured customer experience data, separating essential insights (actants, actions, objects, emotions) from irrelevant information. This extraction process concentrates valuable insights into identifiable components, making them easier to detect and measure despite the large volume of source data.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent applies semantic tagging and categorization that effectively 'colors' or labels data points with meaningful metadata. This tagging system allows brands to quickly identify and filter valuable insights by category, emotion, or relevance, reducing the difficulty of detecting meaningful patterns in large datasets.

Inventive Principle:

Principle #32Color changes

3Stability of the object's composition

If a structured aggregation system is implemented for experience content, then the coherence of shared content improves, but the device complexity increases

Engineering Contradiction:

Improvecoherence of shared contentVSAvoidcomplexity of aggregation system

Core Design Contradiction:

Stability of the object's compositionVSDevice complexity

Solution Approach 1:

The patent employs a universal structured schema that can handle multiple types of experience content (text, images, videos, audio) through a single consistent framework. This multi-functional approach allows the system to maintain coherence across diverse content types without requiring separate processing systems for each media type, thereby limiting the increase in device complexity.

Inventive Principle:

Principle #6Universality (Multi-functionality)

4Quantity of substance

If conversational agents capture additional experience-content data, then the quantity of captured data increases, but the loss of time for data processing increases

Engineering Contradiction:

Improvequantity of captured dataVSAvoidtime for data processing

Core Design Contradiction:

Quantity of substanceVSLoss of time

Solution Approach 1:

The patent applies preliminary structuring and categorization to experience data at the point of capture by conversational agents. By organizing data into standardized formats immediately during collection rather than performing complex processing later, the system increases the quantity of captured data while minimizing subsequent processing time.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS12586089B2Method and system for processing experience digital contents

Publication Date: 2026.03.24 TAOCI EXPERIENCES SAS

AI summary

A method of processing experience-content data within natural language narratives comprises the steps of: capturing experience-content data from of one or more sources of information, analyzing the captured experience-content data so as to identify narrative structures, and linking each of the identified narrative structures to an actant category among a set of predetermined actant categories constituting an actantial scheme. The capturing step implements a conversational agent that is programmed to capture additional experience-content data, until all actant categories of the actantial scheme are filled with captured experience-content data.