IoT Device Preference Transfer via Local Wireless Network
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Solution Overview
Problem
The challenge lies in creating a seamless user experience when upgrading or adding IoT devices, as users must reprogram their preferences on new devices, and existing devices must relearn user preferences, leading to inefficiencies in configuring and managing personal settings across multiple devices.
Innovation Solution
A user preference service that enables new IoT devices to receive and incorporate user preferences and device configuration information from existing devices within a local wireless network, allowing for a one-time setup or dynamic learning of user preferences, thereby eliminating the need for repeated configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually reprogram preferences on new IoT devices, then device configuration is achieved, but user time and effort are wasted
Solution Approach 1:
The system performs preliminary action by automatically transferring and applying user preferences from existing devices to new IoT devices during the device setup process. This eliminates the need for users to manually reprogram preferences, thus resolving the contradiction by achieving device configuration without wasting user time.
Solution Approach 2:
The new IoT device performs self-service by automatically receiving and configuring user preferences from other devices on the network without requiring manual user intervention. This self-configuration process resolves the contradiction by making device setup effortless while minimizing time investment from users.
2Adaptability or versatility
If existing devices relearn user preferences, then device adaptability is improved, but system time and computational resources are consumed
Solution Approach 1:
Instead of allowing devices to relearn preferences from scratch, the system performs preliminary action by transferring established user preferences to new devices. This maintains device adaptability while avoiding the time-consuming relearning process, thus resolving the contradiction between adaptability and system time consumption.
Solution Approach 2:
The system uses copying by transferring user preference data from existing devices to new IoT devices. This allows new devices to immediately inherit adaptability without requiring time-consuming relearning, resolving the contradiction by maintaining versatility while minimizing time and computational resource usage.
3Productivity
If user preferences are transferred across devices, then configuration efficiency is improved, but network communication requirements increase
Solution Approach 1:
The system uses an intermediary approach by leveraging the existing local network infrastructure to transfer preferences between devices. This achieves high configuration efficiency while avoiding the need for complex dedicated communication protocols, thus resolving the contradiction between productivity and device complexity.
Data Source
AI summary
Methods and apparatuses for setting user preferences and/or device configuration information are disclosed. A first user device detects a local wireless network, receives, from a second user device, configuration information and/or preference information of the second user device, the second user device having functionality similar to the first user device, and updates configuration information and/or preference information of the first user device with at least a subset of the configuration information and/or preference information received from the second user device, the configuration information and/or preference information of the first user device stored at the first user device.