From Toil to Thought: Designing for Strategic Exploration and Responsible AI in Systematic Literature Reviews

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Authors: Runlong Ye, Naaz Sibia, Angela Zavaleta Bernuy, Tingting Zhu, Carolina Nobre, Viktoria Pammer‐Schindler, Michael Liut
Cited by: 1
References: 79

Abstract

Systematic Literature Reviews (SLRs) are fundamental to scientific progress, yet the process is hindered by a fragmented tool ecosystem that imposes a high cognitive load. This friction suppresses the iterative, exploratory nature of scholarly work. To investigate these challenges, we conducted an exploratory design study with 20 experienced researchers. This study identified key friction points: 1) the high cognitive load of managing iterative query refinement across multiple databases, 2) the overwhelming scale and pace of publication of modern literature, and 3) the tension between automation and scholarly agency.

Fields of Study & Subjects

Meta-analysis and systematic reviews scientometrics and bibliometrics research Biomedical Text Mining and Ontologies

Publication details

Journal / source
Proceedings of the 31st International Conference on Intelligent User Interfaces
Publisher
ACM
Pages
23–44
Publication date
3 March 2026