| 研究実績の概要 |
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.
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| 今後の研究の推進方策 |
The plan is to finalize the publication of the most recent results applied to real-world settings (political debates). Such results are currently under review in journals. Overall, the results of the project helped refine the design and implementation of deliberative metrics that 1) enhance our understanding on online discourse, debates, and dynamics, and 2) improve the design principles of conversational agents. These points are crucial to current AI research and in investigating issues regarding safety, ethics, and respect of human agency.
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