Dynamic Information Distribution System with Credit-Based Incentives
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Solution Overview
Problem
Existing information sharing techniques are static and do not facilitate easy and quick requests for information, knowledge, and expertise via communication networks, leading to a need for improved methods and systems for distribution.
Innovation Solution
A method and system that involve receiving requests for information, determining relevant computing devices, communicating these requests, adjusting user credit levels based on responses, and managing response credentials and rankings to facilitate efficient information and expertise distribution across a network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If existing information sharing techniques are used, then information can be shared via the network, but the system is static and does not facilitate easy and quick requests for information
Solution Approach 1:
The patent implements a dynamic information sharing system that transitions from static to dynamic operation. The system dynamically determines third computing devices based on analysis of requests, adjusts credit levels in real-time based on responses, and adapts the information distribution process to user needs, thereby facilitating easy and quick information requests while managing system complexity through automated decision-making algorithms.
2Adaptability or versatility
If more computing devices are involved in information distribution, then information sharing capability increases, but the system complexity increases
Solution Approach 1:
The patent introduces a mediator approach where the first computing device acts as an intermediary that coordinates information distribution among multiple third computing devices. The system analyzes requests, determines appropriate third devices, communicates requests to them, and manages responses centrally, thereby increasing information distribution capability while containing system complexity through a coordinated intermediary structure.
Solution Approach 2:
The patent implements feedback mechanisms where credit levels of users associated with third computing devices are adjusted based on their responses to information requests. This feedback loop enables the system to learn from user interactions, improve future request routing, and manage complexity through automated credit-based decision-making that adapts to system performance.
3Productivity
If credit levels are adjusted based on responses, then user participation is incentivized, but the system requires more processing and monitoring
Solution Approach 1:
The patent implements a self-service mechanism where the system automatically adjusts credit levels based on response quality and timeliness without requiring manual intervention. The automated credit adjustment process incentivizes user participation by rewarding helpful responses and penalizing unhelpful ones, thereby increasing productivity while managing processing complexity through algorithmic automation rather than manual management.
Data Source
AI summary
Disclosed herein are methods and systems for facilitating information and expertise distribution via a communication network. A method at a first computing device may include receiving a request for information from a second computing device, determining at least one third computing device based on an analysis of the request for information, communicating the request for information to the determined at least one third computing device, receiving a response corresponding to the request for information from the determined at least one third computing device, adjusting a credit level of a user associated with the determined at least one third computing device based on the received response, and communicating the response to the second computing device. The credit level of the user may indicate one or more credits earned by the user.