Multifunction Peripheral Configuration via Local Usage Data
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Solution Overview
Problem
Existing information processing systems for multifunction peripherals struggle to efficiently specify and incorporate applications and configuration information, especially when new devices are introduced, leading to complex setup processes and potential mismatches with user needs.
Innovation Solution
An information processing apparatus that uses a processor to specify information for a new multifunction peripheral by referencing information from existing peripherals within a predetermined region, ensuring that applications and configuration information are easily and accurately incorporated.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If applications and configuration information are manually selected and specified for each new multifunction peripheral, then configuration accuracy can be ensured, but setup complexity and time consumption increase significantly
Solution Approach 1:
The system performs preliminary actions by automatically specifying applications and configuration information for new multifunction peripherals based on usage patterns from existing devices in the same facility. This eliminates the need for manual selection and specification, thereby reducing setup complexity while maintaining configuration accuracy through data-driven automation
Solution Approach 2:
The new multifunction peripheral receives automated configuration services by leveraging usage information from other devices in the facility. The system self-configures applications and settings based on collected usage data, reducing the need for manual intervention and simplifying the setup process while ensuring accurate configurations
2Ease of operation
If generic applications and configuration information are provided for new multifunction peripherals, then setup process is simplified, but relevance to user needs decreases
Solution Approach 1:
The system applies local quality by providing customized applications and configuration information specific to each facility's usage patterns. Instead of generic configurations, the system analyzes usage data from devices in the same facility and tailors the configuration to local needs, thereby maintaining both setup ease and user relevance
Solution Approach 2:
The system uses feedback from usage information collected from existing multifunction peripherals to automatically configure new devices. By continuously monitoring and analyzing how applications are used across the facility, the system adapts its configuration recommendations to match actual user needs, ensuring both simplicity and relevance
3Measurement precision
If comprehensive usage information is collected from all multifunction peripherals, then configuration accuracy improves, but information processing load increases
Solution Approach 1:
The system reduces information processing load by focusing on local usage information from devices in the same facility rather than processing data from all devices globally. This localized approach maintains configuration accuracy for each specific facility while significantly reducing the overall data processing requirements
Solution Approach 2:
The system extracts only the necessary usage information from multifunction peripherals that is relevant for configuration purposes. By filtering and selecting only the critical usage patterns needed for automatic configuration, the system reduces the volume of information that needs to be processed while maintaining configuration accuracy
Data Source
AI summary
An information processing apparatus includes a processor configured to specify information to be incorporated into a first apparatus by referring to information incorporated into a second apparatus that differs from the first apparatus and that is disposed within a predetermined region around a location of the first apparatus.