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Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
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Narrative Player: Reviving Data Narratives With Visuals.

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    Summary
    This summary is machine-generated.

    Narrative Player automatically generates engaging data videos from text and tables. This method enhances reader comprehension and engagement by transforming data narratives into visual stories.

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    Area of Science:

    • Computer Science
    • Information Visualization
    • Natural Language Processing

    Background:

    • Data-rich documents are prevalent but often text-reliant, hindering reader comprehension and engagement.
    • Existing methods focus on sentence-level insights, failing to capture full data narratives within paragraphs.
    • Visual representations are crucial for enhancing the reading experience of complex data.

    Purpose of the Study:

    • To introduce Narrative Player, a novel method for automatically generating data narratives with consistent and contextualized visuals.
    • To enhance reader engagement and comprehension by creating data stories from text and tables.
    • To develop a system that revives data narratives through automated visualization and narration.

    Main Methods:

    • Leveraging Large Language Models (LLMs) to parse paragraphs, characterize clauses, and extract contextualized data facts.
    • Employing an optimization-based approach to transform extracted facts into a coherent visualization sequence.
    • Integrating animations for seamless transitions between visualizations and utilizing text-to-speech for audio narration.

    Main Results:

    • Automatically generated data videos were produced from paragraphs and corresponding data tables.
    • The system successfully created a sequence of visualizations with smooth transitions and audio narration.
    • Evaluation results indicated positive reception from participants and experts regarding enhanced reading comprehension and engagement.

    Conclusions:

    • Narrative Player effectively revives data narratives by generating contextualized and visually consistent data videos.
    • The method significantly enhances reader engagement and comprehension compared to traditional text-based data presentation.
    • Automated data video generation offers a promising approach for making data-rich documents more accessible and understandable.