Automated Immersive Interface Generation via Content Segmentation
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Solution Overview
Problem
Existing content curation methods are time-consuming, expensive, and inefficient, often failing to adapt to the vast amounts of new information generated daily, and are inaccessible in different formats, languages, and interfaces, limiting their utility for diverse users.
Innovation Solution
A system and method for automatically generating immersive interfaces by analyzing web-based resources, extracting textual, visual, and audio content, and combining them to create engaging audio-visual displays, which can be presented across various devices and platforms, enabling efficient transformation and integration of large volumes of content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated generation of immersive interfaces is implemented, then productivity and efficiency of content creation is improved, but device complexity and processing requirements increase
Solution Approach 1:
The system segments content generation into distinct modules: text analysis module, visual content extraction module, audio content extraction module, and integration module. Each module processes specific aspects independently before combining results, reducing overall system complexity while maintaining high productivity.
Solution Approach 2:
An intermediary processing layer is introduced that receives raw web-based resources and transforms them into structured immersive content. This intermediary layer handles the complex processing tasks, shielding end users from system complexity while enabling efficient content generation.
2Reliability
If manual content curation is performed, then content quality and relevance is improved, but time consumption and labor costs increase
Solution Approach 1:
The system enables self-service content curation by automatically analyzing web-based resources, extracting relevant text, visual, and audio content, and assembling immersive interfaces without human intervention. The automated analysis ensures content quality while eliminating time-consuming manual curation processes.
Solution Approach 2:
Manual content curation operations are replaced with automated computational processes. The system uses algorithms to perform text analysis, content extraction, and interface generation, substituting human mechanical work with automated systems that maintain quality while dramatically reducing time consumption.
3Adaptability or versatility
If content is made accessible in multiple formats and languages, then adaptability and user accessibility is improved, but processing complexity and resource requirements increase
Solution Approach 1:
The system is designed with multi-functional capabilities to handle multiple content formats (text, visual, audio) and languages simultaneously. A single integrated platform performs diverse functions including analysis, extraction, translation, and assembly, enabling broad content accessibility without proportionally increasing processing complexity.
Data Source
AI summary
The present disclosure provides systems, methods, and computer program products for performing automated generation of immersive interfaces. For example, a computing device may perform automated generation of immersive interfaces by analyzing a web-based resource comprising textual content, extracting a plurality of textual content segments from the web-based resource, obtaining visual content and audio content related to each respective textual content segment from the plurality of textual content segments, generating target content for an audio-visual display of the web-based resource based on combining at least a portion of each respective textual content segment with the visual content and the audio content related to the respective textual content segment, and providing data descriptive of the generated target content to a computing device for presentation of the audio-visual display of the web-based resource.