认知计算将如何规划您的下一个系统性综述
On how Cognitive Computing will plan your next Systematic Review
摘要：
系统性文献综述（SLR）是循证研究的核心，为未来的研究和实践奠定基础。然而，产生高质量的及时贡献是一项具有挑战性和高度认知的工作，这最近激发了对SLR过程中自动化和支持的探索。在本文中，我们解决了一个经常被忽视的阶段，在这个过程中，规划文献综述，并探讨在认知过程增强的镜头下，如何克服其最突出的挑战。在此过程中，我们报告了24位SLR作者对规划实践的见解，其挑战以及受认知计算最新进展启发的支持策略的反馈。我们的研究结果框架下的认知增强框架，并报告的原型实施和评估，重点是进一步通知技术的可行性。
英文摘要：
Systematic literature reviews (SLRs) are at the heart of evidence-based research, setting the foundation for future research and practice. However, producing good quality timely contributions is a challenging and highly cognitive endeavor, which has lately motivated the exploration of automation and support in the SLR process. In this paper we address an often overlooked phase in this process, that of planning literature reviews, and explore under the lenses of cognitive process augmentation how to overcome its most salient challenges. In doing so, we report on the insights from 24 SLR authors on planning practices, its challenges as well as feedback on support strategies inspired by recent advances in cognitive computing. We frame our findings under the cognitive augmentation framework, and report on a prototype implementation and evaluation focusing on further informing the technical feasibility.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
