论文标题

社会影响对话系统:对社会影响任务的数据集和模型的调查

Social Influence Dialogue Systems: A Survey of Datasets and Models For Social Influence Tasks

论文作者

Chawla, Kushal, Shi, Weiyan, Zhang, Jingwen, Lucas, Gale, Yu, Zhou, Gratch, Jonathan

论文摘要

具有社会影响力的对话系统,例如说服力,谈判和疗法,对于将技术的使用扩展到众多现实情况至关重要。但是,现有的研究主要集中于以任务为导向或开放域的方案,这种分类是系统地捕获影响力技能的不足。对于对话系统,没有正式的定义或类别,这些技能和数据驱动的工作在这个方向上是高度限制的。在这项工作中,我们正式定义并介绍了影响用户认知和情感反应的社会影响对话系统的类别,从而通过自然对话导致思想,观点和行为的变化。我们介绍了各种任务,数据集和方法的调查,该调查汇编了七个不同领域的进度。我们讨论了检查系统之间的共同点和差异,确定局限性并推荐未来的方向。这项研究是社会影响对话系统的全面参考,以激发该新兴领域中更多专门的研究和讨论。

Dialogue systems capable of social influence such as persuasion, negotiation, and therapy, are essential for extending the use of technology to numerous realistic scenarios. However, existing research primarily focuses on either task-oriented or open-domain scenarios, a categorization that has been inadequate for capturing influence skills systematically. There exists no formal definition or category for dialogue systems with these skills and data-driven efforts in this direction are highly limited. In this work, we formally define and introduce the category of social influence dialogue systems that influence users' cognitive and emotional responses, leading to changes in thoughts, opinions, and behaviors through natural conversations. We present a survey of various tasks, datasets, and methods, compiling the progress across seven diverse domains. We discuss the commonalities and differences between the examined systems, identify limitations, and recommend future directions. This study serves as a comprehensive reference for social influence dialogue systems to inspire more dedicated research and discussion in this emerging area.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源