Digital Twin IoT Governance for Distraction-Aware Device Control
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Solution Overview
Problem
Users face challenges in governing IoT devices effectively, as they often lack knowledge about which functionalities to manage, the duration of governance, and the impact of blocking these functionalities, leading to potential distractions that can negatively affect concentration and performance.
Innovation Solution
A method and system utilizing digital twin-based simulation to enroll IoT devices and users, receive functionality and sensor data, generate a digital twin simulation, identify potential distractions, select governance rules, and synchronize these rules with the physical devices to minimize distractions and enhance user focus.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If IoT devices are governed to improve user focus, then concentration and performance are improved, but device functionality and versatility are reduced
Solution Approach 1:
The governance rules are made dynamic and context-aware, automatically adjusting device capabilities based on real-time user state, environmental context, and task requirements. The system continuously monitors user biometrics, device usage patterns, and environmental sensors to dynamically enable or disable specific device functionalities, ensuring optimal balance between focus enhancement and functionality preservation.
Solution Approach 2:
Instead of broadly restricting all device functionalities, the system applies governance selectively to specific device functions and capabilities based on their potential to cause distractions. Each IoT device's functionalities are individually evaluated and governed only where necessary, preserving essential functions while blocking distracting ones, thus maintaining device versatility where needed while improving concentration where required.
2Productivity
If digital twin-based simulation is implemented to identify distractions, then user focus is improved, but system complexity and computational requirements increase
Solution Approach 1:
The system creates a simplified digital twin (virtual replica) of the physical environment and IoT devices, which simulates device behaviors and user interactions without requiring full-system complexity. This digital model allows the system to predict and identify potential distractions by analyzing simulated scenarios, enabling focus improvement through computational modeling while avoiding the need to implement complex governance mechanisms in the actual physical system.
3Object-affected harmful factors
If governance rules are synchronized to physical devices, then distractions are reduced, but response time and synchronization overhead increase
Solution Approach 1:
The system pre-synchronizes governance rules to IoT devices during low-activity periods or when changes are anticipated, rather than waiting for real-time triggers. By preparing and pushing governance configurations in advance, the system reduces the need for frequent real-time synchronization operations, thereby minimizing synchronization overhead and response time delays while still effectively reducing distractions when needed.
Data Source
AI summary
Embodiments of the invention present invention provide an approach for governing Internet of Things (IoT) device operation. Specifically, the present invention relates to a method and system for utilizing digital twin-based simulation to selectively govern capabilities of surrounding IoT devices to improve a user experience.