Avatar Appearance Control via Gaze-Driven Interface Dynamics
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Solution Overview
Problem
Current methods for interacting with virtual avatars and user representations in computer systems are cumbersome, inefficient, and error-prone, leading to a significant cognitive burden on users and inefficient use of computer resources, particularly in battery-operated devices.
Innovation Solution
The system concurrently displays an avatar and a user interface with controls for editing its appearance, detecting user inputs to change the avatar's appearance, and provides feedback by initially displaying controls in a reduced prominence state before increasing their visibility based on user interaction, using a combination of display generation components, eye-tracking, hand-tracking, and tactile output generators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional methods for interacting with virtual avatars are used, then users can control avatar appearance, but the interaction process becomes cumbersome and requires multiple inputs
Solution Approach 1:
The system pre-configures avatar appearance options and controls their visibility based on predicted user needs. By preparing and positioning controls in advance rather than requiring users to search for them, the system reduces interaction time while maintaining ease of operation.
Solution Approach 2:
The system provides feedback by detecting user gaze direction and interaction history to dynamically adjust control visibility and positioning. This feedback mechanism allows the system to anticipate user needs and present relevant controls proactively, reducing the number of inputs required and minimizing interaction time.
2Ease of operation
If controls are always displayed with full visibility, then users can easily access controls, but user attention is distracted from the primary content
Solution Approach 1:
The control visibility is made dynamic rather than static. Controls transition between hidden and visible states based on detected user gaze direction and interaction context. This dynamic behavior allows controls to be accessible when needed while minimizing distraction during content viewing.
Solution Approach 2:
The system introduces gaze detection as an intermediary mechanism between the user and the controls. Instead of requiring direct interaction with visible controls, the system uses gaze detection to mediate control activation, allowing users to access controls through natural eye movement without constant visual attention on the controls themselves.
3Measurement precision
If the system requires multiple sequential inputs to achieve desired outcomes, then precise control is achieved, but cognitive burden on users increases
Solution Approach 1:
The system merges multiple control functions into a single interface element or gesture. By combining related controls and merging them with gaze detection, the system achieves precise control outcomes through fewer, more intuitive inputs rather than requiring multiple sequential actions.
Solution Approach 2:
The control system is designed with multi-functionality where a single gaze-based interaction can trigger multiple related actions or access multiple control options simultaneously. This universal approach reduces the cognitive burden by eliminating the need to navigate through multiple sequential input steps.
4Adaptability or versatility
If comprehensive controls are always visible, then all avatar editing options are accessible, but the user interface becomes cluttered and complex
Solution Approach 1:
The control interface is segmented into multiple layers or states. Comprehensive controls are available but organized in a hierarchical manner where only relevant controls are displayed at any given time. Gaze detection enables users to access additional control layers without overwhelming the interface with all options simultaneously.
Solution Approach 2:
Different regions of the interface have different levels of control density and visibility. The system applies local quality by making controls more prominent or visible only in specific contexts based on user gaze and interaction history, while keeping other areas simpler. This maintains completeness of controls while reducing overall interface complexity.
Data Source
AI summary
The present disclosure generally relates to techniques for interacting with virtual avatars and/or user representations.


