Smart Environment Instruction Parsing for Autonomous Device Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional AI assistance systems require users to issue individual commands for each smart device, leading to confusion and inefficiency when performing complex tasks, such as following a cooking tutorial, where users must listen to instructions, issue commands, and perform tasks simultaneously.
Innovation Solution
A processor analyzes instructional media and identifies target smart devices capable of performing specific instructions, allowing the system to instruct those devices to execute the tasks autonomously, reducing user input and minimizing confusion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users issue individual commands for each smart device, then device control is achieved, but user confusion and inefficiency increase when performing complex tasks
Solution Approach 1:
The system segments complex tasks into individual actionable instructions that can be automatically distributed to specific smart devices. Each instruction is independently processed and executed by the appropriate device, eliminating the need for users to manually control each device separately while maintaining precise device control.
Solution Approach 2:
The patent introduces an intermediary system (processor or smart device management system) that receives instructional content, extracts actionable instructions, and automatically distributes them to relevant smart devices. This intermediary eliminates the need for direct user-device interaction for each command, reducing user confusion and time loss while maintaining ease of operation.
2Productivity
If users must listen to instructions, issue commands, and perform tasks simultaneously, then task completion is achieved, but user confusion increases
Solution Approach 1:
The system enables smart devices to serve themselves by automatically receiving and executing instructions without requiring continuous user intervention. Devices autonomously process their assigned tasks based on extracted instructions from instructional content, allowing users to simply consume the instructional media while the system handles device coordination automatically.
Solution Approach 2:
The system performs preliminary actions by pre-processing instructional content to extract actionable instructions before the user needs to execute tasks. Instructions are prepared and distributed to appropriate devices in advance, so when users are ready to perform tasks, the devices are already configured and ready to execute, eliminating confusion from simultaneous command issuance.
3Adaptability or versatility
If traditional AI assistance systems require individual commands for each device, then device-specific control is maintained, but system complexity increases
Solution Approach 1:
The patent implements a universal instruction processing system that can handle multiple types of smart devices through a single interface. The system extracts generic actionable instructions from instructional content and automatically routes them to appropriate devices based on device capabilities and context, maintaining device-specific control flexibility while reducing overall system complexity through standardized processing.
Data Source
AI summary
A processor may receive instructional information. The instructional information may be associated with an instructional media. A processor may analyze the instructional information for one or more instructions. A processor may identify a target device from the one or more smart devices in the smart environment that are associated with the one or more instructions. A processor may perform the one or more instructions with the target device.