IoT Content Recommendation Panels for Cross-Device Control
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Solution Overview
Problem
Conventional systems fail to automatically share and apply control configurations of electrical appliances across IoT devices, requiring manual user intervention for sharing video playback settings and links, lacking in recommending optimal configurations.
Innovation Solution
A method and system that recognizes content on a first electronic device, generates recommendations based on user activity history, and automatically configures relevant devices in a second IoT network, using semantic relations and machine learning to transfer actionable data items and control configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual sharing of control configuration is implemented, then user control over device settings is maintained, but user operation time and complexity increase
Solution Approach 1:
The system automatically detects user activities across devices and generates control configuration recommendations without requiring manual user intervention. The electronic device autonomously shares control settings by composing messages with recommended configurations based on observed usage patterns, eliminating the need for users to manually copy or transfer settings between devices.
Solution Approach 2:
The system performs preliminary analysis of user activities and pre-generates control configuration recommendations before the user needs them. By continuously monitoring and analyzing usage patterns in advance, the system prepares ready-to-share configurations that can be immediately transmitted to other devices, saving the user time when they actually need to share settings.
2Adaptability or versatility
If control configuration is shared across multiple devices, then device versatility and user experience improve, but system complexity increases
Solution Approach 1:
The system tailors control configurations to each specific device's capabilities and characteristics. Rather than applying a uniform configuration across all devices, the system analyzes the target device's properties and adapts the control settings locally to match its specific requirements, ensuring optimal performance while managing complexity through targeted customization.
Solution Approach 2:
The system introduces an intermediary layer that translates and adapts control configurations between different device types and platforms. This mediator component handles the complexity of cross-device compatibility by automatically converting control settings into device-appropriate formats, allowing seamless sharing without requiring users to manage the underlying system complexity.
3Productivity
If automated recommendation system is implemented, then productivity and convenience improve, but computational resources and processing time increase
Solution Approach 1:
The system implements partial automation by generating recommendations only for specific user activities that meet certain criteria, rather than continuously analyzing all device operations. By selectively applying automated recommendation generation to high-value scenarios, the system achieves significant productivity improvements while limiting computational energy consumption to only when necessary.
Data Source
AI summary
The embodiments herein provide a method for predicting content based recommendations. The method includes recognizing, by a first electronic device (100A) in a first IoT network (100), content displayed on a display (130A) of the first electronic device (100A). Further, the method includes predicting, by the first electronic device (100A), at least one recommendation corresponding to the content based on a history of user activities performed by a user using at least one of the first electronic device (100A) and other electronic devices (100B-100F) in the first IoT network (100). Further, the method includes providing, by the first electronic device (100A), the at least one recommendation on an action prediction panel of a keyboard of the first electronic device (100A).