Document Integration System for Extended Reality Text Segmentation
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Solution Overview
Problem
Conventional extended reality environments require time-consuming and tedious manual composition of text for task objects, and lack display mechanisms for conveying task-related information, leading to inefficient task performance.
Innovation Solution
A document integration system that partitions text documents into segments, generates virtual objects, and inserts them into the extended reality environment, allowing users to affix these objects to locations or user representations, with visual and status indications for ownership and task status, reducing manual input and enhancing task efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual composition of text for task objects is used in extended reality environments, then task objects can be created, but the process is time-consuming and tedious
Solution Approach 1:
The system automatically copies text from external documents (such as Word documents or web pages) and pastes it into task objects within the extended reality environment. This eliminates the need for manual composition of text, allowing users to simply import pre-written documentation and have it automatically populated into interactive task objects, thereby dramatically reducing the time and effort required to create task objects.
Solution Approach 2:
The system enables self-service by automatically processing and integrating document content into task objects without requiring manual intervention. The automated text extraction, segmentation, and population processes allow the system to serve itself in creating task objects, freeing users from tedious manual composition work while maintaining high-quality task object creation.
2Loss of information
If conventional extended reality environments are used without text integration, then the system is simpler, but task-related information cannot be effectively conveyed
Solution Approach 1:
The system segments text from external documents into meaningful portions and integrates them as distinct text objects within the extended reality environment. This segmentation allows task-related information to be organized into manageable, displayable units that can be presented to users in a structured manner, effectively conveying task information without overwhelming the system or user interface.
Solution Approach 2:
The system introduces an intermediary text integration layer that bridges external documents and the extended reality environment. This intermediary component handles the conversion, formatting, and integration of text content, allowing task information to be effectively conveyed without directly complicating the core extended reality system architecture. The intermediary manages the complexity of text processing while presenting a clean interface to users.
3Productivity
If text is manually composed for each task object, then text can be displayed, but user interaction time increases
Solution Approach 1:
The system performs preliminary action by automatically extracting, processing, and preparing text content from external documents before it is needed in the extended reality environment. Text is pre-segmented, pre-formatted, and pre-positioned within task objects, so that when users interact with the environment, the text is already ready for immediate use, eliminating the need for users to spend time composing or formatting text during task execution.
Solution Approach 2:
The system uses copying to automatically transfer text from external documents into task objects, eliminating manual text composition entirely. This automated copying process preserves the original text formatting and content while integrating it seamlessly into the extended reality environment, significantly reducing user interaction time and improving task completion efficiency by allowing users to focus on task execution rather than text creation.
Data Source
AI summary
In accordance with the described techniques, a document integration system receives a document that includes text. The document integration system generates a plurality of virtual objects based on the document, such that each virtual object includes a different portion of the text. Further, the plurality of virtual objects are inserted into an extended reality environment. User input is received affixing a particular virtual object to a user representation in the extended reality environment and specifying movement of the particular virtual object as following the user representation from a first location to a second location in the extended reality environment. The particular virtual object is displayed as located and fastened to the second location in the extended reality environment.