@inproceedings{tian-etal-2020-understanding,
    title = "Understanding User Resistance Strategies in Persuasive Conversations",
    author = "Tian, Youzhi  and
      Shi, Weiyan  and
      Li, Chen  and
      Yu, Zhou",
    editor = "Cohn, Trevor  and
      He, Yulan  and
      Liu, Yang",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2020.findings-emnlp.431/",
    doi = "10.18653/v1/2020.findings-emnlp.431",
    pages = "4794--4798",
    abstract = "Persuasive dialog systems have various usages, such as donation persuasion and physical exercise persuasion. Previous persuasive dialog systems research mostly focused on analyzing the persuader`s strategies and paid little attention to the persuadee (user). However, understanding and addressing users' resistance strategies is an essential job of a persuasive dialog system. So, we adopt a preliminary framework on persuasion resistance in psychology and design a fine-grained resistance strategy annotation scheme. We annotate the PersuasionForGood dataset with the scheme. With the enriched annotations, we build a classifier to predict the resistance strategies. Furthermore, we analyze the relationships between persuasion strategies and persuasion resistance strategies. Our work lays the ground for developing a persuasive dialogue system that can understand and address user resistance strategy appropriately. The code and data will be released."
}