IoT Context-Aware Web Search Query Synthesis for Device Control
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Solution Overview
Problem
Current information processing methods require significant effort to understand and apply web search results to Internet of Things (IoT) devices, lacking a seamless integration of IoT device context information to enhance user experience.
Innovation Solution
An information processing device receives a web search query, fetches context information from related IoT devices, generates a synthetic query by combining user input with IoT context, and determines controls to be applied to the IoT devices based on search results, allowing for automatic or user-confirmed execution of these controls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If web search results are manually understood and applied to IoT devices, then application accuracy is improved, but user effort and time consumption increase significantly
Solution Approach 1:
The system performs self-service by automatically fetching IoT device context information, generating synthetic queries, and applying search results to devices without requiring manual user intervention. The information processing device autonomously completes the entire workflow from query generation to device control application, eliminating the need for users to manually understand and apply search results.
Solution Approach 2:
The information processing device acts as an intermediary between the user's web search query and the IoT devices. It receives the user's intent, automatically enriches it with device context information, performs the search, and translates the results into actionable device controls, serving as a mediator that bridges the gap between general web information and specific device operations.
2Measurement precision
If IoT device context information is integrated into web search queries, then search result relevance is improved, but system complexity increases
Solution Approach 1:
The system merges the user's web search query with IoT device context information to create a synthetic query. This combination integrates multiple data sources (user intent and device state) into a single enriched query that is more relevant to the user's needs while maintaining a unified processing workflow.
Solution Approach 2:
The information processing device performs multiple functions within a single system: it fetches device context information, generates synthetic queries, executes web searches, and applies results to device controls. This multi-functional approach consolidates what would otherwise require separate systems into one universal platform, managing complexity through integration rather than proliferation of components.
3Ease of operation
If automatic control determination is implemented, then user convenience is improved, but control accuracy may deteriorate
Solution Approach 1:
The system incorporates feedback mechanisms by using actual IoT device context information (current state, sensors, settings) to inform the synthetic query generation and control determination. This feedback loop ensures that automatic controls are based on real device conditions, improving accuracy while maintaining automation. The system continuously monitors device state and adjusts controls accordingly.
Data Source
AI summary
Provided is a method, performed by an information processing device, of processing information by using an Internet of things (IoT) device, the method including: receiving, from a user, a web search query; fetching context information of at least one IoT device related to the web search query; automatically generating a synthetic web search query including the web search query and the context information of the at least one IoT device; and determining a control to be applied to the at least one IoT device by using a search result regarding the synthetic web search query.