Intelligent Social Network for Devices via Intent Detection
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Solution Overview
Problem
Current social networking platforms lack an intent model and framework for devices to augment human social networks, leading to a disconnect between human and device interactions, with users spending excessive time on virtual activities at the expense of real-life engagement.
Innovation Solution
A method and system for creating an intelligent social network between devices over the internet, enabling detection of user intent through pre-defined parameters, matching common intents between devices, and transmitting information using REST API, with a residential gateway facilitating communication and maintaining device profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users actively maintain virtual social network presence, then social networking engagement is improved, but real life engagement deteriorates
Solution Approach 1:
The system enables devices to automatically detect user intent and participate in social networking activities without requiring manual user input. Devices autonomously monitor user behavior patterns, detect intents, and engage with content based on pre-defined parameters, allowing the system to serve itself rather than requiring continuous user maintenance.
Solution Approach 2:
The patent replaces manual mechanical user input with automated device-based intent detection. Instead of users physically typing, clicking, or navigating to maintain their social presence, the system uses sensors, processors, and algorithms to automatically detect user intents and execute social networking actions, substituting mechanical user operations with automated electronic detection and response mechanisms.
2Loss of information
If devices generate and share data in social networks, then network information richness is improved, but device complexity increases
Solution Approach 1:
The system implements a universal intent detection framework that can be applied across multiple device types (smartphones, tablets, computers, wearables) using common pre-defined parameters. Rather than requiring device-specific complex algorithms, the same intent detection mechanism works across different devices, reducing overall system complexity while enriching network information.
Solution Approach 2:
The patent uses pre-defined parameters that can be adjusted or modified without changing the fundamental intent detection architecture. By changing parameters such as time thresholds, activity thresholds, or context weights rather than redesigning the detection system, the network can adapt to different scenarios while maintaining relatively simple device implementations.
3Measurement precision
If intent detection uses pre-defined parameters, then detection accuracy is improved, but system adaptability deteriorates
Solution Approach 1:
The system dynamically adjusts the application of pre-defined parameters based on context and user behavior patterns. Rather than using fixed rigid parameters, the system can adapt parameter thresholds, weights, and selection based on real-time conditions while still operating within the framework of pre-defined parameter types. This allows the system to maintain accuracy for known behaviors while adapting to emerging patterns.
Data Source
AI summary
A method and system is provided for creating an intelligent social network between a plurality of devices participating in a social network over internet. Particularly, the disclosure provides a method and system for creating an intelligent social network of a plurality of devices, wherein an intent of at least one user of a first device is detected by one or more of subsequent devices out of the plurality of devices based on one or more pre-defined parameters; a match between one or more common intent of the user of the first device and the one or more users of the one or more subsequent devices is detected and information pertaining to the same is transmitted for enabling communication and formation of intelligent social network between the first device and the one or more of subsequent devices.