@inproceedings{song-wang-2024-like,
    title = "Would You Like to Make a Donation? A Dialogue System to Persuade You to Donate",
    author = "Song, Yuhan  and
      Wang, Houfeng",
    editor = "Calzolari, Nicoletta  and
      Kan, Min-Yen  and
      Hoste, Veronique  and
      Lenci, Alessandro  and
      Sakti, Sakriani  and
      Xue, Nianwen",
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/2024.lrec-main.1540/",
    pages = "17707--17717",
    abstract = "Persuasive dialogue is a type of dialogue commonly used in human daily life in scenarios such as promotion and sales. Its purpose is to influence the decision, attitude or behavior of another person through the dialogue process. Persuasive automated dialogue systems can be applied in a variety of fields such as charity, business, education, and healthcare. Regardless of their amazing abilities, Large Language Models (LLMs) such as ChatGPT still have limitations in persuasion. There is few research dedicated to persuasive dialogue in the current research of automated dialogue systems. In this paper, we introduce a persuasive automated dialogue system. In the system, a context-aware persuasion strategy selection module makes dialogue system flexibly use different persuasion strategies to persuade users; Then a natural language generation module is used to output a response. We also propose a persuasiveness prediction model to automatically evaluate the persuasiveness of generated text. Experimental results show that our dialogue system can achieve better performance on several automated evaluation metrics than baseline models."
}