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Project: User-Specific Renarration of Web Content #25

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@uskudarli

Project Description

Project Overview

The internet is a vast resource of information, yet not all web content is easily consumable by every user. This project focuses on user-specific renarration of web content, where a system automatically rearticulates web content in ways that align with different user needs. The aim is to make digital information more inclusive and adaptable, ensuring that content is not just available but truly understood by diverse audiences.

Renarration and Accessibility

Renarration is the process of transforming content to match the perspective, background, or situational needs of a given audience. Accessibility in this context extends beyond traditional disabilities to include anyone who may struggle to engage with web content due to:

  • Vision impairments, making it difficult to consume text-based content.
  • Educational background, where complex or technical language creates barriers.
  • Language proficiency, where direct translation alone is insufficient for comprehension.
  • Contextual needs, such as requiring a concise summary while multitasking or preferring an in-depth analysis.

For example, a news article about a historical event could be renarrated differently for:

  • An aged grandparent, emphasizing personal and societal impact.
  • A younger sibling, simplifying key facts and using familiar comparisons.
  • A retired history professor, providing deeper context and academic insights.

Technical Approach

You will utilize state-of-the-art AI models to implement the renarration. The system will leverage:

  • Vision-Language Models (VLMs) to interpret and renarrate multimedia content.
  • Large Language Models (LLMs) to generate user-specific renarrations, adjusting tone, complexity, and depth accordingly.

Project Deliverables

  • A functional prototype capable of performing automated renarration of web content.
  • A technical report documenting the development and application of AI models in renarration.
  • Case studies illustrating how renarration improves accessibility and comprehension for diverse user groups.

Significance and Impact

Renarration is an essential function of human communication, as we instinctively adjust our explanations based on who we are addressing. This project seeks to replicate that adaptability through AI-driven solutions, bridging gaps in digital content consumption and making web information more context-aware, audience-specific, and universally accessible.

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nlpfrom eliza to large language models

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