AR Glasses AI Query Surfacing for Context-Aware Output
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Solution Overview
Problem
Interacting with feature-rich augmented-reality (AR) devices is time-consuming and challenging due to the need to navigate multiple interfaces, and hand-based inputs are often less efficient than touch-screen interactions.
Innovation Solution
An AI-driven method at an AR headset processes open-ended queries using data from its camera and sensors to provide responsive outputs through various modalities, including text, audio, and widgets, without requiring voice-based inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If hand-based inputs are used for interaction, then the device can be operated without touch-screen, but the interaction efficiency and feature richness deteriorate compared to touch-screen devices
Solution Approach 1:
The patent introduces an AI assistant as an intermediary between the user and the AR device system. The AI processes natural language queries and translates them into appropriate device actions, bridging the gap between simple voice/hand inputs and complex device functionalities. This mediator enables users to access rich features without directly navigating complex interfaces or using precise hand gestures.
Solution Approach 2:
The AI assistant autonomously interprets user intent and automatically executes appropriate actions without requiring users to manually navigate through multiple interfaces. The system self-services by understanding queries like 'show me notifications' and automatically displaying relevant information, eliminating the need for users to search through menus or perform complex hand-based navigation.
2Adaptability or versatility
If multiple interfaces are provided for feature-rich operation, then the device functionality increases, but the time required to navigate and interact increases
Solution Approach 1:
The patent extracts the navigation and interface management functions from the user's direct control and transfers them to the AI assistant. Instead of users navigating through multiple interfaces, the AI extracts and processes the essential intent from natural language queries and directly executes the required actions, removing the time-consuming navigation step entirely.
Solution Approach 2:
The AI assistant performs preliminary interpretation and decision-making actions before the user needs to interact with specific interfaces. By pre-processing the query and determining the appropriate response or action in advance, the system eliminates the need for users to spend time exploring or navigating through multiple device interfaces to achieve their goal.
3Reliability
If traditional interface navigation is required, then precise control is achieved, but user frustration and abandonment increase
Solution Approach 1:
The patent replaces the mechanical interaction system (hand gestures, button presses, interface navigation) with a cognitive system based on natural language processing. The AI assistant understands the semantic meaning of user queries and executes appropriate actions, substituting precise but tedious mechanical interactions with more natural and satisfying language-based communication that maintains control reliability.
Data Source
AI summary
An example method comprises receiving an open-ended query at an augmented-reality (AR) headset, and in response to receiving the open-ended query: determining, via an artificial intelligence (AI), first context for the open-ended query based on first data provided from a camera of the AR headset; and outputting, at the AR headset, a first response based on the open-ended query and the first context. An output modality of the AR headset is selected based on first information included in the first response. The method includes that in response to receiving the open-ended query: determining, via the AI, second context for the open-ended query based on second data provided from the camera of the augmented-reality headset; and outputting, at the AR headset, a second response based on the open-ended query and the second context. An output modality of the AR headset is selected based on second information included in the second response.