Marker-Based Function Retrieval for Adaptive Terminal Control
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Solution Overview
Problem
Existing information processing systems fail to achieve flexible association with user-specific situations when using image data, as URLs allocated to image data are fixed, limiting adaptability and operability improvements.
Innovation Solution
An information processing device and method that retrieves data records associated with markers detected in images, using a terminal device to determine the function to be called based on a calling history, allowing for flexible association with user-specific situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed URLs are allocated to image data, then system simplicity is maintained, but adaptability to individual user situations deteriorates
Solution Approach 1:
The system performs preliminary actions by storing calling history data and marker-function associations in advance. When a marker is detected in an image, the system retrieves pre-stored data records that contain function information associated with that marker, enabling rapid adaptation without real-time complexity.
Solution Approach 2:
The system implements feedback mechanisms by utilizing calling history information to dynamically determine which function to execute. The calling history serves as feedback that allows the system to adapt its behavior based on past user interactions with markers and functions, improving adaptability while maintaining manageable complexity through structured data retrieval.
2Ease of operation
If fixed URL allocation is used for image data, then system complexity is reduced, but operability improvement is limited
Solution Approach 1:
The system performs preliminary actions by storing calling history data and marker-function associations in advance. When a marker is detected in an image, the system retrieves pre-stored data records that contain function information associated with that marker, enabling rapid adaptation without real-time complexity.
Solution Approach 2:
The system implements feedback mechanisms by utilizing calling history information to dynamically determine which function to execute. The calling history serves as feedback that allows the system to adapt its behavior based on past user interactions with markers and functions, improving adaptability while maintaining manageable complexity through structured data retrieval.
3Adaptability or versatility
If dynamic function determination based on calling history is implemented, then adaptability to user situations is improved, but information processing complexity increases
Solution Approach 1:
The system performs preliminary actions by storing calling history data and marker-function associations in advance. When a marker is detected in an image, the system retrieves pre-stored data records that contain function information associated with that marker, enabling rapid adaptation without real-time complexity.
Solution Approach 2:
The system implements feedback mechanisms by utilizing calling history information to dynamically determine which function to execute. The calling history serves as feedback that allows the system to adapt its behavior based on past user interactions with markers and functions, improving adaptability while maintaining manageable complexity through structured data retrieval.
Data Source
AI summary
Provided is an information processing device including a retrieval unit configured to retrieve a data record in which a marker detected in an image acquired by a terminal device is associated with a function of the terminal device, and a calling function determination unit configured to determine the function to be called in the terminal device based on the data record found through the retrieval. The data record includes information generated based on a calling history of the function in which the marker in the terminal device is used.


