Environment Tracking Interface for Gaze and Gesture AR Selection
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Solution Overview
Problem
Existing methods for interacting with augmented and virtual reality environments are cumbersome, inefficient, and place a significant cognitive burden on users, often requiring multiple inputs and providing insufficient feedback, leading to errors and energy wastage, particularly in battery-operated devices.
Innovation Solution
Computer systems with improved methods and interfaces that utilize environment tracking, including gaze and gesture detection, to reduce the number and nature of user inputs, provide intuitive feedback, and conserve power by optimizing display and interaction based on environmental conditions and user intent.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional interaction methods are used in augmented reality environments, then users can perform actions with virtual objects, but the interaction becomes cumbersome and requires multiple inputs
Solution Approach 1:
The system provides immediate visual feedback by displaying indicators showing which virtual objects are selectable and how they will respond to gestures. This feedback loop allows users to understand the connection between their inputs and device responses, reducing the cognitive burden and number of inputs needed to achieve desired outcomes
Solution Approach 2:
The system automatically tracks the environment and identifies selectable virtual objects without requiring users to manually search or navigate through multiple menus. The environment tracking and object identification happen autonomously, reducing the interaction steps from multiple inputs to simple gesture-based selection
2Ease of operation
If multiple inputs are required to achieve desired outcomes, then actions can be performed in the virtual environment, but significant cognitive burden is placed on the user
Solution Approach 1:
The system performs preliminary actions by automatically tracking the environment, identifying virtual objects, and preparing interaction options before the user acts. The environment tracking component continuously monitors and processes spatial information, so when a user points a camera at a physical object, the system has already prepared the virtual object data and interaction possibilities, eliminating the need for users to manually search or navigate
3Measurement precision
If complex manipulation of virtual objects is required, then precise control can be achieved, but interactions become tedious and error-prone
Solution Approach 1:
The system replaces complex mechanical interaction sequences with direct gesture-based control. Instead of requiring users to navigate through multiple menu layers and configuration steps, the system maps physical gestures directly to virtual object manipulation, maintaining precision while dramatically simplifying the interaction sequence. The environment tracking provides continuous spatial awareness that enables precise control through intuitive gestures
4Productivity
If traditional interaction methods are used, then functions can be accessed, but energy is wasted due to prolonged interaction time
Solution Approach 1:
The system uses periodic environment tracking and gesture recognition to enable quick function access. Instead of requiring users to navigate through multiple screens and menus that keep the display and processors active for extended periods, the periodic gesture-based interaction allows users to access functions rapidly and return to idle states, reducing overall power consumption while maintaining productivity
Data Source
AI summary
The present disclosure generally relates to devices, methods, and graphical user interfaces for providing content that utilizes environment tracking, such as environment tracking of a physical environment.