Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols

• URL: http://arxiv.org/abs/2009.14237v3
• Date: Tue, 27 Apr 2021 18:32:46 GMT
• Title: Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols
• Authors: Andrew Head (UC Berkeley), Kyle Lo (Allen Institute for AI), Dongyeop Kang (UC Berkeley), Raymond Fok (University of Washington), Sam Skjonsberg (Allen Institute for AI), Daniel S. Weld (Allen Institute for AI, University of Washington), Marti A. Hearst (UC Berkeley)
• Abstract summary: In this work, we envision how interfaces can bring definitions of technical terms and symbols to readers when and where they need them most. We introduce ScholarPhi, an augmented reading interface with four novel features.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: Despite the central importance of research papers to scientific progress, they can be difficult to read. Comprehension is often stymied when the information needed to understand a passage resides somewhere else: in another section, or in another paper. In this work, we envision how interfaces can bring definitions of technical terms and symbols to readers when and where they need them most. We introduce ScholarPhi, an augmented reading interface with four novel features: (1) tooltips that surface position-sensitive definitions from elsewhere in a paper, (2) a filter over the paper that "declutters" it to reveal how the term or symbol is used across the paper, (3) automatic equation diagrams that expose multiple definitions in parallel, and (4) an automatically generated glossary of important terms and symbols. A usability study showed that the tool helps researchers of all experience levels read papers. Furthermore, researchers were eager to have ScholarPhi's definitions available to support their everyday reading.

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