Factor identification device, factor identification method, and appliance control device
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Solution Overview
Problem
Conventional control devices that use artificial intelligence to determine control content for appliances do not effectively distinguish between direct and indirect determination factors, making it difficult for users to understand the reasoning behind the control decisions, as they display all determination factors without differentiation.
Innovation Solution
A factor identification device that acquires physical quantity information from an appliance controller and uses decision trees to identify and display direct determination factors, allowing users to grasp the reasoning behind control content decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all determination factors are displayed without differentiation, then the user receives complete information, but the user cannot easily identify the direct determination factor and understand the control reasoning
Solution Approach 1:
The determination factors are segmented into two distinct categories: direct determination factors and indirect determination factors. The notification unit separately notifies the user of the direct determination factor that has a deeper relationship with the control content, while also providing information about indirect determination factors. This segmentation allows users to quickly grasp the primary reasoning behind control decisions without losing access to complete information.
2Measurement precision
If artificial intelligence is used to determine control content, then the control accuracy is improved, but the black box property increases and reduces user understanding
Solution Approach 1:
The notification unit provides feedback to the user about the determination factors used by the artificial intelligence control unit. By notifying the user of both direct and indirect determination factors, the system creates a feedback loop that transparently reveals the reasoning process behind AI-driven control decisions, thereby reducing the black box property while maintaining AI determination accuracy.
Data Source
AI summary
A factor identification device includes: an information acquiring unit that acquires, from an appliance control unit that determines a future control content with respect to an appliance to be controlled, physical quantity information indicating a physical quantity of an environment in which the appliance to be controlled is disposed, the physical quantity information being used in a final step of determining the control content among a plurality of steps included in a process of determining the control content; a determination factor identifying unit that identifies a determination factor of the control content determined by the appliance control unit on the basis of the physical quantity indicated by the physical quantity information acquired by the information acquiring unit; and a display data generating unit that generates display data for displaying the determination factor identified by the determination factor identifying unit and outputs the display data.


