Measuring Group Interaction in Online Discussions and Application to Autonomous Agent Deliberation

这项研究发现并评估了涉及人类和会话代理人的小组讨论中的各种互动模式。使用依赖于时间序列分析、信息论、自然语言处理和自然语言生成的技术的组合来分析模式。结果导致在线辩论和潜在的社会动态之间的联系的解释增强。此外，研究结果有助于改善人工智能的实现，这些人工智能在各个领域与人类互动，包括语言（对话）和经济（谈判）领域。这些结果是以前报告的结果的延伸。核心研究结果在各种国家和国际会议、讲习班和教程（AAMAS、PRICAI、KICSS、IEEE伊卡等）中介绍和发表。这项研究的主要成果是奠定了平台的基础，使人类能够在与会话代理交互的同时有效地工作。这一出版形式的“增强民主审议”（AAMAS 2022）设定了在线增强民主的未来，并以原则性的方式解决了道德、自治和公平等关键问题。PI将在利用本研究结果的其他相关研究项目中调查这些概念。

The research resulted in the discovery and evaluation of various patterns of interaction in group discussions involving humans and conversational agents. The patterns where analyzed using a combination of techniques relying on time series analysis, information theory, natural language processing, and natural language generation. The results lead to an enhanced interpretation of the links between online debates and the underlying social dynamic. Moreover, the results helped in improving the implementation of artificial agents that interact with humans in various domains, including linguistic (conversational) and economic (negotiation) ones. These results come as an extension of the findings reported previously. The core findings were presented and published in various national and international conferences, workshops, and tutorials (AAMAS, PRICAI, KICSS, IEEE ICA, etc.). The key achievement of the research is laying out the foundation of platforms that allow humans to work effectively while interacting with conversational agents. This published form of "Augmented Democratic Deliberation" (AAMAS 2022) sets the future of online augmented democracies and addresses in a principled way key questions such as ethics, autonomy, and fairness. These notions will be investigated by the PI in other related research projects that exploit the present findings.