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Collaborative Literature Search System: An Intelligence Amplification Method for Systematic Literature Search

机译：协作文献检索系统：系统文献检索的智能放大方法

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In this paper, we present a method for systematic literature search based on the symbiotic partnership between the human researcher and intelligent agents. Using intelligence amplification, we leverage the calculation power of computers to quickly and thoroughly extract data, calculate measures, and visualize relationships between scientific documents with the ability of domain experts to perform qualitative analysis and creative reasoning. Thus, we create a foundation for a collaborative literature search system (CLSS) intended to aid researches in performing literature reviews, especially for interdisciplinary and evolving fields of science for which keyword-based literature searches result in large collections of documents beyond humans' ability to process or the extensive use of filters to narrow the search output risks omitting relevant works. Within this article, we propose a method for CLSS and demonstrate its use on a concrete example of a literature search for a review of the literature on human-machine symbiosis.
机译：在本文中，我们提出了一种基于人类研究人员与智能主体之间共生伙伴关系的系统文献检索方法。利用智能放大，我们利用计算机的计算能力来快速而彻底地提取数据，计算度量并可视化科学文档之间的关系，并具有领域专家进行定性分析和创造性推理的能力。因此，我们为协作文献搜索系统（CLSS）奠定了基础，该系统旨在协助进行文献综述的研究，特别是针对跨学科和不断发展的科学领域，基于关键词的文献搜索会导致大量文献收集，超出了人类的能力范围。处理或广泛使用过滤器来缩小搜索输出的风险，而忽略了相关工作。在本文中，我们提出了一种CLSS方法，并在文献搜索的具体实例中证明了它的用途，该文献旨在检索有关人机共生的文献。

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