Extended Reality Media Interfaces for Gaze and Hand Tracking
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Solution Overview
Problem
Existing user interfaces for interacting with augmented and virtual reality environments are cumbersome, inefficient, and complex, leading to a significant cognitive burden on users and excessive energy consumption, particularly in battery-operated devices.
Innovation Solution
Implementing computer systems with improved methods and interfaces that utilize cameras, touch-sensitive displays, eye-tracking, and hand-tracking components to provide intuitive and efficient interactions, including stereoscopic media capture and gaze-based targeting, to reduce the number and nature of user inputs and enhance feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional user interfaces are used for augmented and virtual reality environments, then basic functionality can be achieved, but user interaction becomes cumbersome and cognitively demanding
Solution Approach 1:
The system provides visual feedback by displaying a capture guide that changes appearance based on the detected hand gesture state. This feedback mechanism helps users understand the connection between their inputs and device responses, making the interaction more intuitive and reducing cognitive burden without requiring complex multi-step input sequences
Solution Approach 2:
The system automatically detects hand gestures and translates them into capture operations without requiring explicit user commands. The gesture-based interface allows the system to interpret user intent automatically, reducing the number of inputs needed and simplifying the interaction process
2Reliability
If multiple input steps are required to achieve desired outcomes, then precise control can be obtained, but interaction time and energy consumption increase
Solution Approach 1:
The system establishes a direct mapping between hand gestures and capture operations, preparing the interface to execute actions immediately upon gesture detection. This preliminary configuration of the gesture-to-action mapping eliminates the need for multiple sequential input steps, reducing interaction time while maintaining precise control through gesture-based input
3Productivity
If conventional input methods are used, then basic media capture can be achieved, but feedback insufficiency leads to errors and rework
Solution Approach 1:
The capture guide provides continuous visual feedback that changes appearance based on the detected hand gesture state and capture progress. This feedback loop allows users to understand the current state of the capture operation and adjust their gestures accordingly, improving capture efficiency and reducing errors without requiring additional input steps
Data Source
AI summary
Electronic devices provide extended reality experiences. In some embodiments, a media capture user interface is displayed, including a capture guide. In some embodiments, gaze information is used for targeting. In some embodiments, a virtual object is manipulated.


