Multi-axis navigation interface for content location
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Solution Overview
Problem
Traditional techniques for organizing and locating content, such as hierarchical folder navigation, become inefficient and frustrating when dealing with large amounts of data, making it difficult to find specific or related content.
Innovation Solution
Implementing multi-axis navigation techniques on a user interface with perpendicular axes, allowing users to select parameters via gestures to navigate and locate content of interest and related items, such as images, across different parameters like months and years.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional hierarchical folder navigation techniques are used to organize and locate content, then the system structure remains simple and easy to understand, but the efficiency of locating specific or related content decreases significantly when dealing with large amounts of data
Solution Approach 1:
The patent transitions from traditional single-axis hierarchical folder navigation to a multi-axis navigation interface. Users can simultaneously navigate along multiple axes (e.g., date, location, content type) to locate content, effectively adding dimensional layers to the navigation system. This allows efficient filtering and localization of content across large datasets without requiring deeply nested folder structures.
2Productivity
If multi-axis navigation techniques are implemented with perpendicular axes and gesture controls, then the efficiency of navigating through large amounts of content improves, but the complexity of the user interface and gesture recognition system increases
Solution Approach 1:
The navigation interface is segmented into distinct perpendicular axes, each representing a different parameter (e.g., time, location, category). Each axis can be independently controlled through specific gestures, allowing users to navigate along one dimension without being affected by others. This segmentation simplifies the interaction model despite the multi-dimensional nature of the navigation space.
Solution Approach 2:
The interface dynamically adapts to user gestures, where different gesture types (swipe directions, tap patterns) trigger different navigation actions along different axes. The system responds in real-time to gesture inputs, adjusting the displayed content and navigation state dynamically, which manages complexity through adaptive behavior rather than static complex structures.
3Loss of time
If traditional navigation methods are used, then the learning curve for users remains shallow, but the time required to locate related content across different parameters increases
Solution Approach 1:
The multi-axis navigation interface serves multiple functions simultaneously: it allows filtering by different parameters, locating specific content, discovering related content, and navigating through large datasets. A single unified interface replaces what would otherwise require multiple separate tools or complex search operations, reducing content retrieval time while maintaining ease of use through consistent interaction patterns across all axes.
Data Source
AI summary
Multi-axis navigation techniques are described. In implementations, a user interface is output by a computing device, the user interface includes a first axis and a second axis that include parameters that are navigable via one or more gestures. One or more items are chosen by the computing device for concurrent display with the first and second axes that correspond to a first one of the parameters of the first axis and a second one of the parameters of the second axis.