NEGOTIATOR: A Comprehensive Framework for Human-Agent Negotiation Integrating Preferences, Interaction, and Emotion
| Type of publication: | Inproceedings |
| Citation: | |
| Publication status: | Published |
| Booktitle: | Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence Demo Track |
| Year: | 2024 |
| Pages: | 8700-8703 |
| Publisher: | International Joint Conferences on Artificial Intelligence Organization |
| URL: | https://doi.org/10.24963/ijcai... |
| DOI: | 10.24963/ijcai.2024/1012 |
| Abstract: | The paper introduces a comprehensive human- agent negotiation framework designed to facilitate the development and evaluation of research studies on human-agent negotiation without building each component from scratch. Leveraging the inter- operability and reusability of its components, this framework offers various functionalities, including speech-to-text conversion, emotion recognition, a repository of negotiation strategies, and an inter- action manager capable of managing gestures de- signed for Nao, Pepper, and QT, and coordinating message exchanges in a turn-taking fashion. This framework aims to lower the entry barrier for re- searchers in human-agent negotiation by providing a versatile platform that supports a wide range of research directions, including affective computing, natural language processing, decision-making, and non-verbal communication |
| Keywords: | Agent-based and Multi-agent Systems: MAS: Agreement technologies: Negotiation and contract-based systems Agent-based and Multi-agent Systems: MAS: Human-agent interaction |
| Authors | |
| Added by: | [] |
| Total mark: | 0 |
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