Kiroong Choe  Seokhyeon Park  Seokweon Jung  Hyeok Kim  Ji Won Yang  Hwajung Hong  Jinwook Seo

10.5626/JOK.2026.53.1.40

literature review novice researchers large language models human-AI interaction

Literature reviews are vital components of academic research, showcasing the unique perspectives of researchers. Although there is a growing number of large language model (LLM)-based services designed to help users understand and utilize academic papers, their effectiveness in aiding novice researchers to cultivate independent viewpoints on literature remains largely unexamined. This study employs semi-structured interviews to identify the barriers novice researchers encounter before, during, and after the writing process. It also proposes a prototype system based on LLM technology that systematically supports the literature review writing process. A series of workshop studies revealed that novice researchers could seamlessly transition into the writing phase, collaboratively generate satisfactory content, and build agency and confidence through a long-term, dynamic partnership with AI.