Social Influence Dialogue Systems: A Survey of Datasets and Models For Social Influence Tasks
Kushal Chawla, Weiyan Shi, Jingwen Zhang, Gale Lucas, Zhou Yu,, Jonathan Gratch

TL;DR
This survey introduces and defines social influence dialogue systems, reviewing datasets and models across seven domains, highlighting challenges, and proposing future research directions in this emerging field.
Contribution
It formally defines social influence dialogue systems, compiles existing datasets and models, and provides a comprehensive overview of progress and challenges in this area.
Findings
Identified seven diverse domains for social influence dialogue systems
Surveyed existing datasets and models across these domains
Discussed limitations and future research directions
Abstract
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…
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Taxonomy
TopicsAI in Service Interactions · Topic Modeling · Digital Mental Health Interventions
