Social Feedback System with Segmented Trust Assessment

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Solution Overview

Problem

Existing online platforms lack a structured mechanism for users to provide and evaluate feedback on their interactions with other members, leading to a lack of transparency and trust in online communities, as they are designed primarily for product or service reviews rather than interpersonal experiences.

Innovation Solution

An automated social feedback system that allows users to rate and review peers based on real-world interactions, with a rigorous profile confirmation process, nuanced feedback differentiation by relationship closeness, and a clear code of ethics, along with a robust backend infrastructure and intuitive GUI for seamless feedback management and privacy control.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional feedback formats focused on products or services, then the system structure remains simple, but it cannot capture nuanced dynamics of interpersonal experiences

Engineering Contradiction:
Improveability to capture interpersonal feedbackVSAvoidfeedback system structure
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The feedback system is segmented into different feedback types (positive feedback, negative feedback, neutral feedback) and relationship levels (friends, family, acquaintances). This segmentation allows the system to capture nuanced interpersonal dynamics while maintaining a manageable structure through categorization and classification.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system adds new dimensions to feedback by incorporating relationship closeness as a factor and enabling feedback from multiple sources (friends, family, acquaintances). This dimensional expansion allows capture of interpersonal nuances without overwhelming complexity, as each dimension can be independently managed.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Reliability

If no profile confirmation process is implemented, then user registration is fast and easy, but fraudulent feedback and spurious content increase

Engineering Contradiction:
Improveauthenticity of feedbackVSAvoiduser registration process
Core Design Contradiction:
ReliabilityVSEase of manufacture

Solution Approach 1:

Profile confirmation is performed as a preliminary action during the user registration process. By verifying user identities and establishing authentic profiles before allowing feedback participation, the system prevents fraudulent feedback while maintaining a streamlined registration flow that doesn't significantly delay user onboarding.

Inventive Principle:
Principle #10Preliminary action

3Ease of operation

If feedback visibility is not controlled, then the system remains simple to operate, but users cannot protect their privacy or control who accesses their feedback

Engineering Contradiction:
Improveprivacy control functionalityVSAvoidfeedback visibility settings
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The system applies local quality control by allowing different visibility settings for different feedback entries (public, private, anonymous). Each feedback item can have its own accessibility characteristics, enabling users to protect their privacy where needed while maintaining simplicity in the overall system operation through intuitive setting controls.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS20250097308A1Peer-to-Peer Feedback and Trustworthiness Assessment in Online Social Platforms
Publication Date: 2025.03.20 STEHONY STEPHON
  • US20250097308A1 patent drawing
  • US20250097308A1 patent drawing
  • US20250097308A1 patent drawing

AI summary

The disclosed invention pertains to a novel social media platform facilitating community members to give feedback based on their interactions with fellow members. Specifically, it revolves around a system enabling users to offer feedback through an application or website, and subsequently view aggregated feedback about a particular user's interactions. Accessible via mobile and other computing devices, this software application and website empower community members to share real-time experiences and rate other users directly on their profiles.