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


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.

Andrew Head
UC Berkeley, Berkeley, California, United States
Kyle Lo
Allen Institute for Artificial Intelligence, Seattle, Washington, United States
Dongyeop Kang
UC Berkeley, Berkeley, California, United States
Raymond Fok
University of Washington, Seattle, Washington, United States
Sam Skjonsberg
Allen Institute for AI, Seattle, Washington, United States
Daniel Weld
University of Washington, Seattle, Washington, United States
Marti Hearst
UC Berkeley, Berkeley, California, United States




会議: CHI 2021

The ACM CHI Conference on Human Factors in Computing Systems (

セッション: Engineering Real-World Interaction

[A] Paper Room 05, 2021-05-11 17:00:00~2021-05-11 19:00:00 / [B] Paper Room 05, 2021-05-12 01:00:00~2021-05-12 03:00:00 / [C] Paper Room 05, 2021-05-12 09:00:00~2021-05-12 11:00:00
Paper Room 05
13 件の発表
2021-05-11 17:00:00
2021-05-11 19:00:00