Screen Transition History for Hierarchical Setting Navigation
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Solution Overview
Problem
Existing information processing systems for devices like robots and machining devices face inefficiencies in setting hierarchical settings, requiring users to sequentially navigate through multiple layers, which is time-consuming and cumbersome.
Innovation Solution
An information processing apparatus with a storage unit, input unit, and control unit that displays candidate settings or screens based on transition history, allowing users to quickly access target settings by searching and storing screen transitions, and prioritizing candidates based on user, device, and timing-related information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If hierarchical organization of setting items is used, then the system can manage many setting items systematically, but the time required to navigate through multiple layers increases
Solution Approach 1:
The system stores transition histories of screen navigations in advance. When a user needs to navigate to a setting screen, the system retrieves previously recorded navigation paths and presents them as candidate sequences, allowing the user to jump directly to frequently accessed settings without manually navigating through each hierarchical layer.
Solution Approach 2:
The system creates and stores copies of navigation transition histories from actual user operations. These copied histories are then reused to suggest optimal navigation paths, eliminating the need to re-traverse the same hierarchical layers repeatedly for common setting tasks.
2Ease of operation
If sequential selection through hierarchical layers is required, then all setting items can be accessed in an organized manner, but the number of operations increases
Solution Approach 1:
The system enables users to skip through intermediate hierarchical layers by presenting candidate screen transition sequences. Instead of requiring step-by-step navigation through each layer, the system allows direct jumping to target screens based on historical navigation patterns, significantly reducing the number of operations required.
Solution Approach 2:
The system monitors and records actual user navigation behaviors, storing these as transition histories. This feedback is continuously analyzed to improve candidate sequence suggestions, creating a loop where past operations inform future navigation efficiency, thereby reducing the operational burden on users.
3Device complexity
If standard candidate display is used, then the interface remains simple, but the accuracy of suggested settings decreases
Solution Approach 1:
The candidate display dynamically adapts based on retrieved transition histories. Instead of a static candidate list, the system adjusts the displayed candidates according to the current screen context and historical navigation patterns, presenting more relevant and accurate suggestions without requiring complex interface changes from the user's perspective.
Data Source
AI summary
An information processing apparatus includes a storage unit storing screens including display item and display item names or screen names, a display unit, and a control unit. The control unit causes the display unit to display a candidate of the display item names or the screen names. When the displayed display item name or screen name is selected, the control unit searches through the storage unit for the screen including the selected display item name or the screen corresponding to the selected screen name and causes the display unit to display the screen and the storage unit to store a transition history up to the displayed screen. When the recorded screen is being displayed, the control unit causes the display unit to display, as a candidate, the display item name or the screen name included in the screen displayed subsequently to the screen being displayed based on the transition history.