论文标题

通过观察研究评估Argo Scholar

Evaluation of Argo Scholar with Observational Study

论文作者

Li, Kevin, Yang, Haoyang, Montoya, Evan, Upadhayay, Anish, Zhou, Zhiyan, Saad-Falcon, Jon, Chau, Duen Horng

论文摘要

在任何科学领域,发现和理解相关文献都是基本的。基于节点链接图的可视化工具可以帮助此过程。但是,现有工具仅在小规模上进行了评估。本文评估了Argo Scholar,Argo Scholar是一种开源可视化工具,旨在互动文献探索和易于共享探索结果。对来自不同背景和经验的122名参与者的大规模用户研究表明,Argo Scholar有效地帮助用户找到相关的工作和了解纸张连接,而基于图形的探索是在各种学科中有效的。根据用户研究和用户反馈,我们为将来的工作提供设计注意事项和功能建议。

Discovering and making sense of relevant literature is fundamental in any scientific field. Node-link diagram-based visualization tools can aid this process; however, existing tools have been evaluated only on small scales. This paper evaluates Argo Scholar, an open-source visualization tool designed for interactive exploration of literature and easy sharing of exploration results. A large-scale user study of 122 participants from diverse backgrounds and experiences showed that Argo Scholar is effective at helping users find related work and understand paper connections, and incremental graph-based exploration is effective across diverse disciplines. Based on the user study and user feedback, we provide design considerations and feature suggestions for future work.

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