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arXiv · 2210.13510

Evaluation of Argo Scholar with Observational Study

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

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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Kevin Li, Haoyang Yang, Evan Montoya, Anish Upadhayay, Zhiyan Zhou, Jon Saad-Falcon, Duen Horng Chau. 2022-10-24. Evaluation of Argo Scholar with Observational Study. https://arxiv.org/abs/2210.13510

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