IoT Assistant Control Using Adaptive Automation Reference Updates

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing IoT device control systems lack the ability to adaptively determine and execute user functions based on user behavior and preferences, often requiring manual intervention or inefficient automated responses.

Innovation Solution

An intelligent assistant system that determines execution functions based on automation reference information, transmitting control commands or function suggestion messages, and updates the reference information based on user responses, allowing for adaptive control of IoT devices through different automation processes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual control of IoT devices is used, then user control accuracy is maintained, but user convenience and operational efficiency deteriorate

Engineering Contradiction:

Improveuser convenienceVSAvoidcontrol system complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The intelligent assistant automatically analyzes user behavior patterns and device operation data to generate control commands without requiring manual user input. The system serves itself by learning from historical data and autonomously determining when and how to control IoT devices, eliminating the need for complex manual control interfaces while maintaining simplicity for users.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system continuously monitors user interactions and device responses, using this feedback to refine its control strategies. By analyzing the outcomes of automated control actions and user corrections, the intelligent assistant adapts its behavior to improve convenience while managing complexity through learned patterns rather than hardcoded rules.

Inventive Principle:

Principle #23Feedback

2Productivity

If automated control is implemented, then operational efficiency is improved, but adaptability to individual user preferences deteriorates

Engineering Contradiction:

Improveoperational efficiencyVSAvoiduser preference adaptability

Core Design Contradiction:

ProductivityVSAdaptability or versatility

Solution Approach 1:

The intelligent assistant performs preliminary analysis of user behavior patterns and device usage histories before automated control is needed. By pre-learning user preferences and predicting future needs, the system prepares control strategies in advance, enabling efficient automated execution while maintaining adaptability to individual users through personalized profiles built from historical data.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The control system dynamically adjusts its automation level and strategies based on real-time user feedback and changing preferences. Rather than using fixed automated rules, the system continuously evolves its control approach to match individual user behaviors, allowing high operational efficiency while maintaining flexibility and adaptability to personal preferences.

Inventive Principle:

Principle #15Dynamics

3Adaptability or versatility

If intelligent assistant analyzes user behavior patterns, then user-adaptive control is achieved, but data processing complexity increases

Engineering Contradiction:

Improveuser-adaptive capabilityVSAvoiddata processing complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The intelligent assistant segments user behavior analysis into distinct modules: data collection from multiple sources, pattern recognition for specific user preferences, and control strategy generation. By dividing the complex data processing task into separate functional segments, the system achieves user-adaptive control while managing complexity through modular architecture that can process different types of data independently.

Inventive Principle:

Principle #1Segmentation

4Speed

If real-time control commands are transmitted, then response speed is improved, but energy consumption increases

Engineering Contradiction:

Improvecontrol response speedVSAvoidcommunication energy consumption

Core Design Contradiction:

SpeedVSUse of energy by moving object

Solution Approach 1:

The intelligent assistant uses periodic analysis of user behavior patterns to determine when real-time control commands are necessary versus when delayed or batched commands suffice. By applying periodic action selectively - transmitting control signals only when user needs are detected through continuous monitoring - the system maintains fast response speed for critical operations while reducing overall communication energy consumption through intelligent timing.

Inventive Principle:

Principle #19Periodic action

Data Source

PatentUS20250238003A1Intelligent assistant and method for controlling same

Publication Date: 2025.07.24 SAMSUNG ELECTRONICS CO LTD

AI summary

The present disclosure relates to an intelligent assistant and a method for controlling same. A method according to one embodiment comprises: an operation of determining an execution function to be performed by a user device and a type of automation process for performing the execution function, on the basis of automation reference information; an operation of transmitting at least one of a control command and a function suggestion message to one or more user devices on the basis of the type of the automation process; and an operation of receiving a response to at least one of the control command and the function suggestion message, and updating the automation reference information on the basis of attributes of the received response.