3D Virtual Assistant Activation Using Gaze, Voice, and Hand Cues
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Solution Overview
Problem
Existing systems fail to provide adequate activation and display of virtual assistants in extended reality environments based on user attention and interactions within a user's 3D space, lacking natural interaction capabilities.
Innovation Solution
Implementing a real-time intelligent virtual assistant using a large language model (LLM) that is activated by gaze, voice, or hand-based interactions, generating customizable user interface elements and adjusting to user context and physiological cues, while preserving privacy by limiting data sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a virtual assistant is activated in extended reality environments, then user interaction capability is improved, but natural interaction based on user attention and 3D space context is not adequately provided
Solution Approach 1:
The system continuously monitors user gaze direction, head orientation, and hand gestures to dynamically adjust virtual assistant activation and response. This feedback loop enables the assistant to understand user attention and interact naturally within the 3D space, resolving the contradiction between activation capability and natural interaction ease.
Solution Approach 2:
The virtual assistant's activation state and interaction mode are made dynamic rather than static. The assistant adapts its behavior based on real-time detection of user gestures, gaze, and spatial context, allowing it to transition between different interaction states naturally within the extended reality environment.
2Adaptability or versatility
If user activity information is shared with applications, then interaction functionality is improved, but user privacy is compromised
Solution Approach 1:
Different levels of user activity information are provided to different applications based on their specific needs and trust levels. The system implements fine-grained permission controls where each application receives only the minimum necessary data for its function, preserving user privacy while maintaining interaction functionality.
Solution Approach 2:
An intermediary layer is introduced between the user activity data collection system and the applications. This intermediary processes, filters, and manages data sharing, allowing functionality to be maintained while protecting user privacy through controlled information disclosure and data anonymization where appropriate.
Data Source
AI summary
Devices, systems, and methods that present a virtual assistant that provides natural assistant interactions in an extended reality (XR) environment. For example, an example process may include presenting a view of a three-dimensional (3D) environment with a virtual assistant. The process may further include receiving data corresponding to first user activity in the 3D coordinate system and identifying a user interaction event associated with the virtual assistant based on the data corresponding to the user activity. The process may further include providing a graphical indication corresponding to one or more attributes associated with the virtual assistant based on identifying the user interaction event. The process may further include generating one or more user interface elements that are positioned at 3D positions based on the 3D coordinate system associated with the 3D environment in accordance with receiving data corresponding to a second user activity.