ACL 2025finding0 citations

GUI Agents: A Survey

Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu

Abstract

Graphical User Interface (GUI) agents, powered by Large Foundation Models, have emerged as a transformative approach to automating human-computer interaction. These agents autonomously interact with digital systems via GUIs, emulating human actions such as clicking, typing, and navigating visual elements across diverse platforms. Motivated by the growing interest and fundamental importance of GUI agents, we provide a comprehensive survey that categorizes their benchmarks, evaluation metrics, architectures, and training methods. We propose a unified framework that delineates their perception, reasoning, planning, and acting capabilities. Furthermore, we identify important open challenges and discuss key future directions. Finally, this work serves as a basis for practitioners and researchers to gain an intuitive understanding of current progress, techniques, benchmarks, and critical open problems that remain to be addressed.

BibTeX
@inproceedings{nguyen-etal-2025-gui,
    title = "{GUI} Agents: A Survey",
    author = "Nguyen, Dang  and
      Chen, Jian  and
      Wang, Yu  and
      Wu, Gang  and
      Park, Namyong  and
      Hu, Zhengmian  and
      Lyu, Hanjia  and
      Wu, Junda  and
      Aponte, Ryan  and
      Xia, Yu  and
      Li, Xintong  and
      Shi, Jing  and
      Chen, Hongjie  and
      Lai, Viet Dac  and
      Xie, Zhouhang  and
      Kim, Sungchul  and
      Zhang, Ruiyi  and
      Yu, Tong  and
      Tanjim, Mehrab  and
      Ahmed, Nesreen K.  and
      Mathur, Puneet  and
      Yoon, Seunghyun  and
      Yao, Lina  and
      Kveton, Branislav  and
      Kil, Jihyung  and
      Nguyen, Thien Huu  and
      Bui, Trung  and
      Zhou, Tianyi  and
      Rossi, Ryan A.  and
      Dernoncourt, Franck",
    editor = "Che, Wanxiang  and
      Nabende, Joyce  and
      Shutova, Ekaterina  and
      Pilehvar, Mohammad Taher",
    booktitle = "Findings of the Association for Computational Linguistics: ACL 2025",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.findings-acl.1158/",
    doi = "10.18653/v1/2025.findings-acl.1158",
    pages = "22522--22538",
    ISBN = "979-8-89176-256-5"
}
GUI Agents: A Survey · ACL 2025