Living Papers: A Language Toolkit for Augmented Scholarly Communication

Honorable Mention
Generative AI (Text, Image, Music, Video)Interactive Data VisualizationComputational Methods in HCIUniversity Professors & ResearchersData Scientists & AnalystsHCI Researchers

Computing technology has deeply shaped how academic articles are written and produced, yet article formats and affordances have changed little over centuries. The status quo consists of digital files optimized for printed paper—ill-suited to interactive reading aids, accessibility, dynamic figures, or easy information extraction and reuse. Guided by formative discussions with scholarly communication researchers and publishing tool developers, we present Living Papers, a language toolkit for producing augmented academic articles that span print, interactive, and computational media. Living Papers articles may include formatted text, references, executable code, and interactive components. Articles are parsed into a standardized document format from which a variety of outputs are generated, including static PDFs, dynamic web pages, and extraction APIs for paper content and metadata. We describe Living Papers' architecture, document model, and reactive runtime, and detail key aspects such as citation processing and conversion of interactive components to static content. We demonstrate the use and extension of Living Papers through examples spanning traditional research papers, explorable explanations, information extraction, and reading aids such as enhanced citations, cross-references, and equations. Living Papers is available as an extensible, open source platform intended to support both article authors and researchers of augmented reading and writing experiences.

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https://hci.top/en/papers/uist/126665/2023

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DOI: https://doi.org/10.1145/3586183.3606791
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Source
UIST
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Year
2023
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Honorable Mention
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Authors
5 authors
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Subtopics
Generative AI (Text, Image, Music, Video), Interactive Data Visualization, Computational Methods in HCI
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Professions
University Professors & Researchers, Data Scientists & Analysts, HCI Researchers
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Content Status
Abstract only
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