The Semantic Reader Project: Augmenting Scholarly Documents through
AI-Powered Interactive Reading Interfaces
- URL: http://arxiv.org/abs/2303.14334v2
- Date: Sun, 23 Apr 2023 09:12:23 GMT
- Title: The Semantic Reader Project: Augmenting Scholarly Documents through
AI-Powered Interactive Reading Interfaces
- Authors: Kyle Lo, Joseph Chee Chang, Andrew Head, Jonathan Bragg, Amy X. Zhang,
Cassidy Trier, Chloe Anastasiades, Tal August, Russell Authur, Danielle
Bragg, Erin Bransom, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar,
Yen-Sung Chen, Evie Yu-Yen Cheng, Yvonne Chou, Doug Downey, Rob Evans,
Raymond Fok, Fangzhou Hu, Regan Huff, Dongyeop Kang, Tae Soo Kim, Rodney
Kinney, Aniket Kittur, Hyeonsu Kang, Egor Klevak, Bailey Kuehl, Michael
Langan, Matt Latzke, Jaron Lochner, Kelsey MacMillan, Eric Marsh, Tyler
Murray, Aakanksha Naik, Ngoc-Uyen Nguyen, Srishti Palani, Soya Park, Caroline
Paulic, Napol Rachatasumrit, Smita Rao, Paul Sayre, Zejiang Shen, Pao
Siangliulue, Luca Soldaini, Huy Tran, Madeleine van Zuylen, Lucy Lu Wang,
Christopher Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Marti A.
Hearst, Daniel S. Weld
- Abstract summary: We describe the Semantic Reader Project, a effort across multiple institutions to explore automatic creation of dynamic reading interfaces for research papers.
Ten prototype interfaces have been developed and more than 300 participants and real-world users have shown improved reading experiences.
We structure this paper around challenges scholars and the public face when reading research papers.
- Score: 54.2590226904332
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Scholarly publications are key to the transfer of knowledge from scholars to
others. However, research papers are information-dense, and as the volume of
the scientific literature grows, the need for new technology to support the
reading process grows. In contrast to the process of finding papers, which has
been transformed by Internet technology, the experience of reading research
papers has changed little in decades. The PDF format for sharing research
papers is widely used due to its portability, but it has significant downsides
including: static content, poor accessibility for low-vision readers, and
difficulty reading on mobile devices. This paper explores the question "Can
recent advances in AI and HCI power intelligent, interactive, and accessible
reading interfaces -- even for legacy PDFs?" We describe the Semantic Reader
Project, a collaborative effort across multiple institutions to explore
automatic creation of dynamic reading interfaces for research papers. Through
this project, we've developed ten research prototype interfaces and conducted
usability studies with more than 300 participants and real-world users showing
improved reading experiences for scholars. We've also released a production
reading interface for research papers that will incorporate the best features
as they mature. We structure this paper around challenges scholars and the
public face when reading research papers -- Discovery, Efficiency,
Comprehension, Synthesis, and Accessibility -- and present an overview of our
progress and remaining open challenges.
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