Gaze-Driven Dynamic UI Controls for XR Interfaces
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Solution Overview
Problem
Current user interfaces for virtual and augmented reality environments are cumbersome, inefficient, and complex, leading to a significant cognitive burden on users and inefficient energy usage in battery-operated devices, as they often require multiple inputs to achieve desired outcomes and provide insufficient feedback.
Innovation Solution
The implementation of methods and interfaces that conditionally display controls and user interface elements, utilizing gaze detection and dynamic visual feedback to reduce the number and complexity of user inputs, such as displaying controls only when needed and updating their appearance based on user interactions, thereby enhancing interaction efficiency and reducing the cognitive load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional user interfaces display all controls continuously, then users have constant access to all functions, but the interface becomes cluttered and cognitively overwhelming
Solution Approach 1:
The patent implements dynamic control display where UI elements are conditionally shown or hidden based on system state, user gaze detection, or interaction context. Controls transition between visible and invisible states, allowing the interface to adapt its complexity rather than presenting all elements simultaneously.
Solution Approach 2:
Different regions of the interface receive different treatment - actively engaged areas display detailed controls while inactive areas remain simplified. The interface applies varying levels of detail and control visibility to different spatial zones based on user attention and interaction needs.
2Productivity
If multiple input steps are required to achieve desired outcomes, then precise control is achieved, but interaction time and cognitive burden increase
Solution Approach 1:
The system performs preliminary actions by detecting user intent through gaze tracking or partial interactions and automatically preparing or pre-executing subsequent steps. When a user looks at a control or begins an interaction, the system anticipates the desired outcome and reduces the number of explicit input steps required.
Solution Approach 2:
The interface serves itself by automatically managing control visibility, state transitions, and interaction flow based on detected user behavior. The system monitors user gaze and interaction patterns to dynamically adjust the interface, reducing cognitive burden without requiring explicit user commands for each adjustment.
3Loss of information
If sufficient visual feedback is provided for user actions, then user understanding improves, but energy consumption increases
Solution Approach 1:
Visual feedback is provided periodically or event-driven rather than continuously. The system updates UI elements and provides visual confirmation at key interaction moments based on user gaze detection or action completion, rather than maintaining constant visual output, thereby reducing energy consumption while preserving essential feedback.
Data Source
AI summary
A computer system displays a first object that includes at least a first portion of the first object and a second portion of the first object and detects a first gaze input that meets first criteria, wherein the first criteria require that the first gaze input is directed to the first portion of the first object in order for the first criteria to be met. In response, the computer system displays a first control element that corresponds to a first operation associated with the first object, wherein the first control element was not displayed prior to detecting that the first gaze input met the first criteria, and detects a first user input directed to the first control element. In response to detecting the first user input directed to the first control element, the computer system performs the first operation with respect to the first object.