@inproceedings{baac26c578bb4390b839dd043663d563,
title = "Enhancing Literature Reviews in Human-Machine Collaboration: A Comparative Analysis of Topic Modeling Methods in Computer Science",
abstract = "This study conducts a targeted literature review on human-machine collaboration (HMC) within computer science from 2019 to 2023, utilizing topic modeling to address challenges such as outdated research and manual curation costs. We compare Latent Dirichlet Allocation (LDA) and Non-Negative Matrix Factorization (NMF) to determine their effectiveness in analyzing HMC literature. Our results show that NMF, which leverages TF-IDF weighting, produces more distinct and interpretable topics compared to the overlapping clusters often generated by LDA. Specifically, NMF identifies four key themes in HMC: natural language processing applications, the integration of human strengths with algorithms, advancements in image-related tasks, and the application and evaluation of AI agents. These findings suggest that NMF is better suited for capturing nuanced research trends in HMC. This study provides valuable insights for improving literature review methodologies and advancing the understanding of human-machine collaboration in computer science.",
keywords = "human-machine collaboration (HMC), literature review, topic modeling",
author = "Chen, \{Pei Yi\} and Hung, \{Yu Chen\} and Horng, \{Jorng Tzong\} and Wu, \{Li Ching\}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; 29th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2024 ; Conference date: 06-12-2024 Through 07-12-2024",
year = "2025",
doi = "10.1007/978-981-96-4589-3\_17",
language = "???core.languages.en\_GB???",
isbn = "9789819645886",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "235--246",
editor = "Wei-Ta Chu and Chih-Ya Shen and Hong-Han Shuai",
booktitle = "Technologies and Applications of Artificial Intelligence - 29th International Conference, TAAI 2024, Proceedings",
}