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A Survey Forest Diagram : Gain a Divergent Insight View on a Specific Research Topic

Authors :
Li, Jinghong
Gu, Wen
Ota, Koichi
Hasegawa, Shinobu
Publication Year :
2024

Abstract

With the exponential growth in the number of papers and the trend of AI research, the use of Generative AI for information retrieval and question-answering has become popular for conducting research surveys. However, novice researchers unfamiliar with a particular field may not significantly improve their efficiency in interacting with Generative AI because they have not developed divergent thinking in that field. This study aims to develop an in-depth Survey Forest Diagram that guides novice researchers in divergent thinking about the research topic by indicating the citation clues among multiple papers, to help expand the survey perspective for novice researchers.<br />Comment: This paper will submit to IEEE SMC 2024

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2407.17081
Document Type :
Working Paper