Multi-dimensional List Navigation for Mobile Menus
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Solution Overview
Problem
Users face challenges in efficiently visualizing, navigating, and sharing large amounts of visual information on electronic devices, requiring more intuitive and space-efficient mechanisms for accessing and organizing menu items.
Innovation Solution
A multi-dimensionally stacked vertical list navigation system using touch, joystick, gyroscopic, eye, and head tracking gestures, allowing users to move items up, down, left, right, and forward, with color coding for contextual organization, enabling efficient display and sharing of vast amounts of data within a contained screen space.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If traditional menu systems display multiple selections within a contained space, then screen real-estate efficiency is improved, but the complexity of navigation increases
Solution Approach 1:
The patent applies dimensionality change by transitioning from traditional two-dimensional menu layouts to a three-dimensional stacked list interface. Items are arranged in vertical stacks that extend into the Z-axis, allowing multiple menu items to be displayed within a contained screen space while maintaining intuitive navigation through depth-based organization rather than complex multi-directional navigation.
2Ease of operation
If traditional menu systems require two-handed operation or phone repositioning, then accessibility is improved, but ease of operation deteriorates
Solution Approach 1:
The patent implements self-service by enabling users to navigate the three-dimensional menu system using only one hand through intuitive gestures. The system responds to single-handed touch inputs including vertical swipes for scrolling, horizontal swipes for rotation, and taps for selection, eliminating the need for two-handed operation or phone repositioning while maintaining full navigation functionality.
3Quantity of substance
If data is organized in a multi-dimensional stacked list, then information density is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The patent applies color changes by using color-coded categories to organize the three-dimensional stacked list. Different colors represent different data categories or types, allowing users to quickly detect and identify items without navigating through the entire multi-dimensional structure. This visual encoding reduces the difficulty of detecting relevant information while maintaining high information density.
Solution Approach 2:
The patent implements segmentation by dividing the data into organized stacks grouped by categories or attributes. Each stack represents a coherent group of related items, making the dense multi-dimensional data more manageable. Users can navigate between stacks and within stacks using simple gestures, reducing the difficulty of measuring and locating specific information while maintaining high information density.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides an intuitive and dynamic way to access and share information, reducing the need for extensive finger dexterity and two-handed operation, while offering a spatially aware and engaging interface for navigating through files, folders, and media.
Implementation Method 1
a processing device comprising a gyroscope
Data Source
AI summary
Described herein are systems, media, and methods for providing an application that receives information for a plurality of items and utilizes the information to generate a navigable multi-dimensional list of items, wherein the list of items is navigable by at least three navigation modes comprising touch scroll and rotation, joystick scroll and rotation, gyroscopic scroll and rotation. As such, the application allows a user to efficiently and effectively visualize, navigate, create, and share large amounts of data.