AR Speech Annotation for Rare Word Explanations
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing augmented reality systems struggle to provide real-time explanations for unfamiliar words or objects in a manner that minimally distracts and requires minimal user effort.
Innovation Solution
An augmented reality system with an AR display and audio sensor that detects speech, converts it to text, identifies rare words, retrieves auxiliary information, and renders it on the display, while also providing visual or auditory annotations to enhance understanding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If augmented reality systems provide real-time explanations for unfamiliar words or objects, then user comprehension is improved, but user distraction and system complexity increase
Solution Approach 1:
The system segments the auxiliary information delivery by first detecting speech, then identifying rare words within the speech, and only then retrieving and displaying auxiliary information. This segmented approach processes information in discrete steps rather than simultaneously, reducing system complexity while maintaining real-time comprehension support.
Solution Approach 2:
The system introduces an intermediary processing layer that acts as a bridge between speech detection and information display. The rare word detection module serves as an intermediary that filters speech content before triggering auxiliary information retrieval, simplifying the overall system architecture by adding a specialized intermediate component.
2Loss of information
If augmented reality systems provide real-time explanations, then user comprehension is improved, but user effort and distraction increase
Solution Approach 1:
The system implements self-service by automatically detecting rare words in speech and retrieving auxiliary information without requiring user initiation. The system monitors speech content, identifies unfamiliar words, and autonomously provides explanations, eliminating the need for users to manually search for or request information.
Solution Approach 2:
The system employs feedback mechanisms where detected rare words trigger automatic retrieval and display of auxiliary information. This closed-loop feedback system continuously monitors speech, identifies comprehension needs based on rare word detection, and provides appropriate information feedback, reducing user effort while maintaining comprehension support.
3Measurement precision
If speech is continuously monitored and converted to text with rare word detection, then auxiliary information accuracy is improved, but processing time and energy consumption increase
Solution Approach 1:
The system applies partial action by not processing all speech content uniformly. Instead, it performs speech-to-text conversion only when needed and focuses rare word detection specifically on identified speech segments rather than continuously processing all audio input, reducing energy consumption while maintaining detection accuracy.
Solution Approach 2:
The system performs preliminary speech detection and conversion before rare word identification. By first converting speech to text and then analyzing the text for rare words, the system prepares data in advance in a lower-energy format, reducing overall processing energy requirements while maintaining accuracy.
Data Source
AI summary
An augmented reality (AR) device can be configured to monitor ambient audio data. The AR device can detect speech in the ambient audio data, convert the detected speech into text, or detect keywords such as rare words in the speech. When a rare word is detected, the AR device can retrieve auxiliary information (e.g., a definition) related to the rare word from a public or private source. The AR device can display the auxiliary information for a user to help the user better understand the speech. The AR device may perform translation of foreign speech, may display text (or the translation) of a speaker's speech to the user, or display statistical or other information associated with the speech.