Threddy: An Interactive System for Personalized Thread-based Exploration and Organization of Scientific Literature

TL;DR

Threddy is an interactive system integrated into the reading process that helps scientists extract, organize, and explore research threads efficiently, leveraging authors' summaries to enhance literature review and discovery.

Contribution

The paper introduces Threddy, a novel tool that integrates thread-based exploration into the reading workflow, enabling efficient organization and discovery of scientific literature.

Findings

Helps scientists follow and curate research threads during reading

Enables collection of relevant papers and clips without disrupting flow

Assists in discovering new relevant articles for research growth

Abstract

Reviewing the literature to understand relevant threads of past work is a critical part of research and vehicle for learning. However, as the scientific literature grows the challenges for users to find and make sense of the many different threads of research grow as well. Previous work has helped scholars to find and group papers with citation information or textual similarity using standalone tools or overview visualizations. Instead, in this work we explore a tool integrated into users' reading process that helps them with leveraging authors' existing summarization of threads, typically in introduction or related work sections, in order to situate their own work's contributions. To explore this we developed a prototype that supports efficient extraction and organization of threads along with supporting evidence as scientists read research articles. The system then recommends further relevant articles based on user-created threads. We evaluate the system in a lab study and find that it helps scientists to follow and curate research threads without breaking out of their flow of reading, collect relevant papers and clips, and discover interesting new articles to further grow threads.