IoT Personal Assistant Device Name Learning via Trial and Error
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Solution Overview
Problem
Current personal assistant devices require users to manually configure each sensor-connected device for recognition, which is time-consuming and confusing, especially when users need to identify devices using names unknown to the system.
Innovation Solution
The personal assistant device employs an automated trial and error method to determine the most likely candidate device based on stored data and user confirmation, allowing it to associate the requested name with the correct device for future use without manual naming operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual configuration is used to teach device names to personal assistant devices, then device recognition accuracy is improved, but user time consumption and operational complexity increase
Solution Approach 1:
The system enables self-service by allowing the personal assistant device to automatically learn and associate device names through user feedback. Instead of requiring manual configuration, the system observes user corrections and updates its device mapping autonomously, transforming a manual process into an automated self-learning mechanism
Solution Approach 2:
The system implements feedback by monitoring user corrections when activated devices do not match user expectations. This feedback loop allows the system to learn from user interactions and refine its device identification accuracy over time, converting explicit user corrections into system knowledge
2Measurement precision
If manual configuration is used to teach device names, then device name association accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs self-service by automatically updating device name associations based on user feedback. The personal assistant device autonomously processes user corrections and reconfigures its device mapping without requiring users to navigate complex configuration interfaces or perform manual setup procedures
Solution Approach 2:
The system captures user feedback when the activated device does not match user expectations and uses this feedback to improve future device identification. This feedback mechanism transforms user corrections into learning opportunities, gradually improving device name association accuracy while maintaining ease of operation
3Adaptability or versatility
If trial and error method is used to identify devices, then adaptability to user preferences is improved, but number of operations increases
Solution Approach 1:
The system uses feedback from user corrections to adapt to user preferences. When users indicate that the activated device is incorrect, the system learns from this feedback and adjusts its device identification strategy, improving adaptability to user preferences while reducing the number of trial operations over time
Solution Approach 2:
The system performs self-adjustment by automatically updating its device mapping based on user feedback. This self-service capability allows the system to adapt to user preferences autonomously without requiring repeated manual operations, transforming the trial-and-error process into an efficient learning mechanism
Data Source
AI summary
A personal assistant operation is provided for teaching a personal assistant device names preferred by the user for sensor activated devices. For this purpose, a method includes the personal assistant device receiving a request from a user to activate a requested device which the user has identified with a requested name which is unrecognized by the personal assistant device, determining a most likely candidate device from a list of candidate devices to activate in response to the request, activating the determined most likely candidate device, and identifying and saving the requested name as the name of the most likely candidate device in response to receiving confirmation from the user that the determined most likely candidate device is the requested device.