Context-Aware Output Control Using User Region and Action
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Solution Overview
Problem
Information processing apparatuses struggle to provide appropriate outputs based on user actions, as they often recognize the same action in different contexts and respond inappropriately, such as turning off a television while the user wants to watch it.
Innovation Solution
An information processing apparatus that associates control information with regions and actions, allowing it to perform outputs based on the user's location and actions, using a memory section to store this information and a processing section to execute the appropriate outputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If output is performed based on user action recognition alone, then the system can respond to user actions, but the output may not be appropriate for the specific context or situation
Solution Approach 1:
The system segments the context into multiple independent elements including user action, location, date, time, and weather conditions. Each element is recognized and processed separately, then combined to form a comprehensive context understanding. This allows the system to maintain precision in individual action recognition while achieving adaptability through contextual combination.
Solution Approach 2:
The system transitions from one-dimensional action recognition to multi-dimensional context analysis by adding spatial (location), temporal (date and time), and environmental (weather) dimensions. This dimensional expansion enables the system to differentiate between similar actions occurring in different contexts, resolving the contradiction between precision and adaptability.
2Device complexity
If the system recognizes only the action type, then processing is simple, but it cannot distinguish between different situations where the same action occurs
Solution Approach 1:
The context information is segmented into distinct recognizable elements (action, location, date, time, weather) that can be processed independently. This segmentation maintains relatively simple processing for each element while enabling comprehensive context differentiation when elements are combined, thus resolving the contradiction between processing complexity and adaptability.
Solution Approach 2:
The system employs a universal context recognition framework that handles multiple types of information (spatial, temporal, environmental) using a unified approach. This multi-functional design allows the system to differentiate various situations without requiring separate complex processing paths for each context type.
3Reliability
If comprehensive context information is collected and processed, then appropriate output can be achieved, but the system complexity increases
Solution Approach 1:
By segmenting context recognition into independent modular components (action recognition module, location recognition module, temporal recognition module, etc.), the system achieves comprehensive context collection without proportionally increasing overall complexity. Each module can be developed and processed independently, making the complex system manageable and maintainable.
Solution Approach 2:
The system performs preliminary recognition and classification of various context elements before integrating them for final decision-making. This preliminary processing organizes comprehensive context information into structured formats, reducing the complexity of subsequent integration and output determination while ensuring reliability.
Data Source
AI summary
There is provided an information processing apparatus to make it possible to perform an output more appropriate for the user, the information processing apparatus including: a memory section configured to store control information in which a region, an action, and content of control of apparatus output are associated; and a processing section configured to perform output on a basis of a region where a user is located, an action of the user, and the control information.