Collaborative Platform Integrating Affect and Cognitive Analysis

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Solution Overview

Problem

Current video communication platforms are limited in their ability to facilitate seamless interaction across different social media platforms, lack advanced features for emotional and cognitive state analysis, and fail to provide effective targeted advertisements and healthcare solutions.

Innovation Solution

The development of a collaborative virtual communication platform (SWAP) that integrates multimedia analysis to create dynamic profiles, provides targeted advertisements, and offers advanced features like virtual classrooms and healthcare monitoring through affect and cognitive feature analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If current video communication platforms are used for interaction across different social media platforms, then basic communication functionality is maintained, but seamless interaction and integration across platforms is limited

Engineering Contradiction:
Improveplatform integration capabilityVSAvoidinteraction seamlessness
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The patent implements a universal collaborative platform that integrates multiple social media platforms (Facebook, Twitter, LinkedIn, etc.) into a single unified system. This multi-functional platform allows users to interact across different platforms simultaneously, resolving the contradiction by making the system adaptable to various platforms while maintaining reliable seamless interaction through unified architecture

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

2Device complexity

If basic video communication features are provided, then platform simplicity is maintained, but advanced emotional and cognitive state analysis capabilities are lacking

Engineering Contradiction:
Improveplatform feature richnessVSAvoidplatform simplicity
Core Design Contradiction:
Device complexityVSEase of operation

Solution Approach 1:

The patent implements self-service through automated affect and cognitive analysis that occurs without user intervention. The system automatically analyzes user emotions, cognitive states, and engagement levels during interactions, then uses this data to provide personalized recommendations and insights. This resolves the contradiction by adding advanced analytical capabilities while maintaining simplicity through automation rather than requiring complex user operations

Inventive Principle:
Principle #25Self-service

3Productivity

If traditional advertisement methods are used, then advertising functionality is provided, but targeted and context-aware advertising is not achieved

Engineering Contradiction:
Improveadvertising effectivenessVSAvoidcontext awareness
Core Design Contradiction:
ProductivityVSLoss of information

Solution Approach 1:

The patent implements feedback-based targeted advertising by continuously analyzing user affective states, cognitive engagement, and interaction patterns during collaborative sessions. The system uses this real-time feedback to dynamically adjust and deliver context-aware advertisements that are tailored to the user's current emotional and cognitive state, thereby improving advertising effectiveness while maintaining full context awareness

Inventive Principle:
Principle #23Feedback

4Measurement precision

If comprehensive affect and cognitive analysis is performed, then user understanding and personalized content delivery are improved, but data processing complexity and computational requirements increase

Engineering Contradiction:
Improveaffect and cognitive analysis accuracyVSAvoiddata processing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the complex data processing task into distinct modular components: affect analysis module, cognitive analysis module, integration module, and application module. Each module handles specific aspects of the analysis independently, processing different types of data (facial expressions, voice tone, text content, interaction patterns) separately before integrating results. This segmentation maintains high measurement precision while managing complexity through modular architecture

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS9819711B2Online social interaction, education, and health care by analysing affect and cognitive features
Publication Date: 2017.11.14 DAVEY NEIL S
  • US9819711B2 patent drawing
  • US9819711B2 patent drawing
  • US9819711B2 patent drawing

AI summary

A method of establishing a collaborative platform comprising performing a collaborative interactive session for a plurality of members, and analyzing affect and/or cognitive features of some or all of the plurality of members, wherein some or all of the plurality of members from different human interaction platforms interact via the collaborative platform, wherein the affect comprises an experience of feeling or emotion, and wherein the cognitive features comprise features in a cognitive state, the cognitive state comprising a state of an internal mental process.