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A Conversational Dialogue Manager for the Humanoid Robot ERICA

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Advanced Social Interaction with Agents

Abstract

We present a dialogue system for a conversational robot, Erica. Our goal is for Erica to engage in more human-like conversation, rather than being a simple question-answering robot. Our dialogue manager integrates question-answering with a statement response component which generates dialogue by asking about focused words detected in the user’s utterance, and a proactive initiator which generates dialogue based on events detected by Erica. We evaluate the statement response component and find that it produces coherent responses to a majority of user utterances taken from a human-machine dialogue corpus. An initial study with real users also shows that it reduces the number of fallback utterances by half. Our system is beneficial for producing mixed-initiative conversation.

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Notes

  1. 1.

    In Japanese, there are no articles such as ‘a’ or ‘the’.

  2. 2.

    https://www.ninjal.ac.jp/english/products/bccwj/.

  3. 3.

    “So desu ka”: “I see”, “Tashikani”: “Sure”.

  4. 4.

    https://sites.googles.com/site/dialoguebreakdowndetection/chat-dialogue-corpus.

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Acknowledgements

This work was supported by JST ERATO Ishiguro Symbiotic Human-Robot Interaction program (Grant Number JPMJER1401), Japan.

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Correspondence to Divesh Lala .

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Milhorat, P. et al. (2019). A Conversational Dialogue Manager for the Humanoid Robot ERICA. In: Eskenazi, M., Devillers, L., Mariani, J. (eds) Advanced Social Interaction with Agents . Lecture Notes in Electrical Engineering, vol 510. Springer, Cham. https://doi.org/10.1007/978-3-319-92108-2_14

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  • DOI: https://doi.org/10.1007/978-3-319-92108-2_14

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