Mixed Reality Display for Real-Time Context Translation
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Solution Overview
Problem
Augmented reality systems fail to effectively interpret and translate real-world data, such as text and context, in real-time for users, limiting their ability to understand complex information and emotional cues.
Innovation Solution
A see-through, near-eye, mixed reality display device that uses sensors to determine a user's location and orientation, and translates real-world data, including audio and visual inputs, by selecting appropriate linguistic, knowledge, or context translations based on user profile information and rendering them in an audio or visual format.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If augmented reality systems present virtual images superimposed on real world view, then virtual imagery can be displayed to users, but the systems fail to interpret and translate real-world data such as text and context
Solution Approach 1:
The patent combines multiple functions into a single augmented reality system: capturing real-world data through cameras, translating text and context using NLP engines, and displaying both original and translated content through see-through displays. This integration resolves the contradiction by merging data capture, processing, and display functions into one cohesive system that simultaneously presents virtual translations without compromising real-world visibility.
Solution Approach 2:
The patent introduces intermediary components including camera systems that capture real-world data, processing units that translate and interpret the captured information, and display systems that present the translated content. These intermediaries enable the system to bridge the gap between real-world data and user comprehension without requiring direct interpretation by the user, thus resolving the translation capability gap while maintaining system manageability.
2Loss of information
If existing translation systems translate text in data retrieved by camera, then translation capability is provided, but they lack contextual understanding and emotional cue interpretation
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors user interactions with translated content and adjusts its translation and contextualization strategies accordingly. By analyzing user responses and engagement patterns, the system refines its ability to provide contextually accurate translations and emotional cue interpretations, progressively improving automation while enhancing contextual understanding.
Solution Approach 2:
The patent performs preliminary analysis of captured real-world data to identify text, context, and emotional cues before presenting translations to users. By pre-processing and categorizing the captured information, the system prepares contextualized translation content in advance, enabling more accurate and emotionally intelligent translations while reducing real-time processing demands.
3Loss of information
If augmented reality systems provide limited view of real world, then virtual images can be superimposed, but users cannot fully understand complex information
Solution Approach 1:
The patent segments the field of view into multiple display zones within the augmented reality interface, allowing different types of translated information (text translations, contextual annotations, emotional cues) to be presented in separate, organized regions. This segmentation enables users to comprehend complex information by processing it in manageable sections while maintaining awareness of the overall real-world scene.
Solution Approach 2:
The patent utilizes multiple display dimensions including see-through visual displays, audio translations, and haptic feedback to present complex information. By distributing translated content across different sensory dimensions rather than confining it to a single visual plane, the system enhances information comprehension while preserving the user's natural field of view and spatial awareness.
Data Source
AI summary
A see-through, near-eye, mixed reality display apparatus for providing translations of real world data for a user. A wearer's location and orientation with the apparatus is determined and input data for translation is selected using sensors of the apparatus. Input data can be audio or visual in nature, and selected by reference to the gaze of a wearer. The input data is translated for the user relative to user profile information bearing on accuracy of a translation and determining from the input data whether a linguistic translation, knowledge addition translation or context translation is useful.