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Diplomat: A Conversational Agent Framework for Goal-Oriented Group Discussion

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Contemporary Issues in Group Decision and Negotiation (GDN 2021)

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Abstract

Recent work in human-computer interaction has explored the use of conversational agents as facilitators for group goal-oriented discussions. Inspired by this work and by the apparent lack of tooling available to support it, we created Diplomat, a Python-based framework for building conversational agent facilitators. Diplomat is designed to support simple specification of agent functionality as well as customizable integration with online chat services. We document a preliminary user study we conducted to help inform the design of Diplomat. We also describe the architecture, capabilities, and limitations of our tool, which we have shared on GitHub.

This work was supported by the United States Office of Naval Research under Contract N000141812767 and partially funded by an NSF REU grant, REU-CAAR, CNS-1952352.

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Notes

  1. 1.

    https://github.com/kevin-hogan/diplomat.

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Hogan, K., Baer, A., Purtilo, J. (2021). Diplomat: A Conversational Agent Framework for Goal-Oriented Group Discussion. In: Morais, D.C., Fang, L., Horita, M. (eds) Contemporary Issues in Group Decision and Negotiation. GDN 2021. Lecture Notes in Business Information Processing, vol 420. Springer, Cham. https://doi.org/10.1007/978-3-030-77208-6_11

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  • DOI: https://doi.org/10.1007/978-3-030-77208-6_11

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