The experience of reading information-dense scientific papers has remained unchanged for decades, relying on aging formats with static content and low accessibility. This poses significant challenges for scholars trying to keep pace with the rapid growth of published research.
In contrast to the static nature of academic documents, fields outside academia have embraced interactive content. For instance, news platforms like The New York Times leverage explorable visualizations, enhancing readers' understanding of complex data.
Automated summarization and academic search engines have improved research discovery, yet the reading experience of consuming research papers is still hindered by rigid PDF formats that limit interactivity and understanding.
Advancements in AI and human-computer interaction (HCI) have the potential to revolutionize the way we engage with scientific documents, creating intelligent, interactive interfaces that make accessing knowledge easier and more intuitive.
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