ComLittee: Literature Discovery with Personal Elected Author Committees

February 14, 2023 Β· Declared Dead Β· πŸ› International Conference on Human Factors in Computing Systems

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Authors Hyeonsu B. Kang, Nouran Soliman, Matt Latzke, Joseph Chee Chang, Jonathan Bragg arXiv ID 2302.06780 Category cs.HC: Human-Computer Interaction Citations 20 Venue International Conference on Human Factors in Computing Systems Last Checked 4 months ago
Abstract
In order to help scholars understand and follow a research topic, significant research has been devoted to creating systems that help scholars discover relevant papers and authors. Recent approaches have shown the usefulness of highlighting relevant authors while scholars engage in paper discovery. However, these systems do not capture and utilize users' evolving knowledge of authors. We reflect on the design space and introduce ComLittee, a literature discovery system that supports author-centric exploration. In contrast to paper-centric interaction in prior systems, ComLittee's author-centric interaction supports curation of research threads from individual authors, finding new authors and papers with combined signals from a paper recommender and the curated authors' authorship graphs, and understanding them in the context of those signals. In a within-subjects experiment that compares to an author-highlighting approach, we demonstrate how ComLittee leads to a higher efficiency, quality, and novelty in author discovery that also improves paper discovery.
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