Categorizing Apparatus Using Kinematic Tracking for Intuitive Content Organization

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Solution Overview

Problem

Existing automatic categorization techniques for digital content items, such as images and icons, fail to meet user preferences and styles, requiring manual re-mapping of each item for accurate categorization, making them less user-friendly.

Innovation Solution

A categorizing apparatus and method that determines the position of a selected object on a display screen, identifies related objects, and assigns parameters based on their degree of relatedness, allowing these objects to follow the selected object when moved, simulating physical kinematic properties like attractive or spring forces, enabling intuitive reorganization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If automatic categorization techniques are used, then categorization speed is improved, but categorization accuracy according to user preferences deteriorates

Engineering Contradiction:
Improvecategorization speedVSAvoidcategorization accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The system pre-calculates and stores the positional relationships between objects before user interaction. When a user moves an object, the system retrieves these pre-computed relationships to quickly determine which objects should follow, enabling both fast processing and accurate user-preference-based categorization.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system introduces an intermediary mechanism that tracks positional relationships between objects. This intermediary layer mediates between the user's manual repositioning actions and the automatic following behavior, ensuring that categorization reflects user intentions while maintaining automated responsiveness.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If manual re-mapping of each digital content item is performed, then categorization accuracy according to user preferences is improved, but operation complexity increases

Engineering Contradiction:
Improvecategorization accuracyVSAvoidoperation simplicity
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The system enables objects to serve themselves by automatically following their related objects when repositioned. Instead of requiring users to manually map each content item, the selected object automatically attracts and repositions its related objects, simplifying the operation while maintaining accurate user-preference-based categorization.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system merges multiple manual repositioning operations into a single action. When a user moves one object, the system combines this with automatic following behavior to reposition multiple related objects simultaneously, reducing the number of operations required while achieving accurate categorization.

Inventive Principle:
Principle #5Merging (Combining)

3Measurement precision

If each digital content item is re-mapped individually, then categorization precision is improved, but time consumption increases

Engineering Contradiction:
Improvecategorization precisionVSAvoidreorganization time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system pre-establishes the relationships and positional parameters between objects before user interaction. This preliminary preparation enables the system to quickly execute precise repositioning operations when users move objects, achieving accurate categorization without time-consuming individual re-mapping of each content item.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system segments the categorization process into relationship definition and execution phases. By pre-defining relationships between objects and separating this from the repositioning execution, the system achieves precise categorization efficiently, as the computationally intensive relationship analysis is performed once rather than repeatedly during user operations.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS9348500B2Categorizing apparatus and categorizing method
Publication Date: 2016.05.24 PANASONIC INTELLECTUAL PROPERTY CORP OF AMERICA
  • US9348500B2 patent drawing
  • US9348500B2 patent drawing
  • US9348500B2 patent drawing

AI summary

A categorizing apparatus according to the present invention includes: a selected object position determining unit which determines a first position of an object selected by a user in a first region; an identifying unit which identifies one or more objects which are related to the selected object; a parameter assigning unit which assigns a parameter to each of the related objects according to a degree of relatedness between each of the related objects and the selected object, the parameter contributing to a predetermined relationship which defines tracking property of the related object to the selected object when the selected object is moved from the first position. Hence the categorizing apparatus allows the user to intuitively categorize content items through his or her operation, so that the content items are categorized as the user desires.