Kevin Li

Evaluation of Argo Scholar with Observational Study

Haoyang Yang
Evan Montoya
Anish Upadhayay
Zhiyan Zhou
Jon Saad-Falcon
Duen Horng Chau
IEEE VIS: Visualization & Visual Analytics (IEEE VIS), 2022

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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BibTeX

			@article{Li2022EvaluationOA,
  title={Evaluation of Argo Scholar with Observational Study},
  author={Kevin Li and H. Yang and Evan Montoya and Anish Upadhayay and Zhiyan Zhou and Jon Saad-Falcon and Duen Horng Chau},
  journal={ArXiv},
  year={2022},
  volume={abs/2210.13510}
}