Device Operation Classification for Shared-Use Intent Detection

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Solution Overview

Problem

Existing technologies struggle to accurately classify operation information of devices to provide personalized services based on user intentions, as they often fail to distinguish between shared and non-shared device usage contexts.

Innovation Solution

An information processing system that classifies device operation information based on installation location and user attributes, distinguishing between operation information intended for all users in shared spaces and specific users in non-shared spaces, and uses this classification to suggest tailored services.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If operation information is classified without considering installation location and user attributes, then the classification process is simple, but the accuracy of distinguishing shared vs. specific user intentions deteriorates

Engineering Contradiction:
Improveclassification accuracyVSAvoidclassification system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments operation information classification into multiple dimensions: installation location (shared space vs. non-shared space), user attributes, and device type. This segmentation allows the system to accurately distinguish whether operation information reflects shared user intentions or specific user intentions by analyzing each dimension separately and combining the results.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces additional classification dimensions beyond simple operation type, including installation location (shared/non-shared spaces), user attributes, and temporal patterns. By adding these dimensions, the system achieves more accurate classification of user intentions while managing complexity through structured multi-dimensional analysis.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Adaptability or versatility

If operation information is classified into detailed categories based on installation location and user attributes, then service personalization is improved, but the data processing complexity increases

Engineering Contradiction:
Improveservice personalizationVSAvoiddata processing complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments service provision into different pathways based on classification results: services for shared user intentions versus services for specific user intentions. This segmentation allows the system to provide personalized services while managing data processing complexity by handling different service types through dedicated processing streams.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies different processing and service strategies to different types of operation information based on their classification. Shared operation information receives processing optimized for group services, while specific user operation information receives processing optimized for individual personalization, allowing each to be handled with appropriate complexity levels.

Inventive Principle:
Principle #3Local quality

3Loss of information

If the system collects and analyzes detailed operation information to distinguish user intentions, then service relevance is improved, but the information processing load increases

Engineering Contradiction:
Improveuser intention informationVSAvoidinformation processing energy
Core Design Contradiction:
Loss of informationVSUse of energy by moving object

Solution Approach 1:

The patent extracts key classification features from operation information such as installation location, user attributes, and device type, separating these essential features from the complete raw data. This extraction allows the system to retain necessary user intention information while reducing the overall information processing load by focusing analysis on the most discriminative features.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS20250260592A1Information output method, information processing device, and recording medium
Publication Date: 2025.08.14 PANASONIC INTELLECTUAL PROPERTY CORP OF AMERICA
  • US20250260592A1 patent drawing
  • US20250260592A1 patent drawing
  • US20250260592A1 patent drawing

AI summary

An information processing device includes: an acquisition unit; a linking unit; a memory unit; and an output unit. The acquisition unit of the information processing device acquires operation information of a device. The linking unit of the information processing device classifies the acquired operation information of the device into a predetermined category. The memory unit of the information processing device stores the category into which the operation information is classified, the operation information of the device, and the user information in which the operation of the device is set in association with one another. The output unit of the information processing device outputs the associated operation information of the device.