Gaze- and Hand-Tracked Content Entry for Virtual Interfaces
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Solution Overview
Problem
Existing methods for interacting with augmented and virtual reality environments are cumbersome, inefficient, and complex, leading to a significant cognitive burden on users and inefficient energy usage, particularly in battery-operated devices.
Innovation Solution
The implementation of computer systems with improved user interfaces that utilize touch-sensitive displays, eye-tracking, hand-tracking, and tactile output generators to facilitate more intuitive and efficient interactions with virtual objects in three-dimensional environments, reducing the number and nature of user inputs through enhanced visual feedback and conditional operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional input devices (cameras, controllers, joysticks, touch-sensitive surfaces) are used to interact with virtual reality environments, then the system can process user inputs, but the interaction becomes cumbersome, inefficient, and complex, creating significant cognitive burden on users
Solution Approach 1:
The patent replaces traditional mechanical input devices (controllers, joysticks, touch surfaces) with a direct neural interface that detects brain activity patterns. This substitution eliminates the need for complex manual interaction methods, reducing cognitive burden while maintaining system control capability. The neural interface directly translates neural signals into system commands, bypassing the need for users to learn and operate complex physical interfaces.
2Productivity
If multiple input steps are required to achieve desired outcomes in augmented reality environments, then the system can perform complex operations, but the interaction takes longer than necessary, wasting energy in battery-operated devices
Solution Approach 1:
The neural interface system performs preliminary action by continuously monitoring and pre-processing neural signals, preparing commands in advance based on detected intent patterns. This allows the system to anticipate user actions and execute operations before traditional multi-step input sequences would be completed, reducing interaction time and associated energy consumption in portable devices.
3Adaptability or versatility
If traditional user interfaces require series of inputs to achieve desired outcomes, then the system can perform controlled operations, but the methods create significant cognitive burden on users and detract from the virtual reality experience
Solution Approach 1:
The system changes the fundamental parameter of input detection from external physical actions to internal neural activity patterns. By detecting brain activity directly, the system captures user intent at its source, allowing for versatile control of virtual environment operations without requiring users to learn complex input sequences. This parameter change maintains operational flexibility while dramatically reducing cognitive burden.
Data Source
AI summary
In some embodiments, while displaying a content entry user interface element and while a first content entry tool is selected, an electronic device detects a first movement of a predefined portion of a user while the predefined portion has a first shape. In some embodiments, in response to detecting the first movement, in accordance with a determination that a gaze of the user was directed toward the content entry user interface element when the first movement was detected, the electronic device enters first content, based on the first content entry tool, corresponding to the first movement into the content entry user interface element. In some embodiments, in accordance with a determination that the gaze of the user was directed toward a menu user interface element when the first movement was detected, the electronic device selects a second content entry tool for entering content into the content entry user interface element.