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.

翻译：为帮助学者理解和追踪研究主题，大量研究致力于开发能够协助学者发现相关论文与作者的文献系统。近期方法表明，在学者进行论文探索时突出相关作者具有实用价值。然而，这些系统未能捕捉并利用用户对作者认知的动态演变。我们反思设计空间，提出ComLittee——一种支持以作者为中心的文献发现系统。与先前系统中以论文为中心的交互模式不同，ComLittee以作者为中心的交互支持：从个体作者处梳理研究脉络，通过论文推荐器与已策展作者的合作者图谱的组合信号发现新作者与新论文，并在信号语境中理解这些关系。在与作者高亮方法的受试者内实验对比中，我们验证了ComLittee如何提升作者发现效率、质量与新颖性，并进而改善论文发现效果。