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Multimodal Joke Generation and Paralinguistic Personalization for a Socially-Aware Robot

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Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness. The PAAMS Collection (PAAMS 2020)

Abstract

Robot humor is typically scripted by the human. This work presents a socially-aware robot which generates multimodal jokes for use in real-time human-robot dialogs, including appropriate prosody and non-verbal behaviors. It personalizes the paralinguistic presentation strategy based on socially-aware reinforcement learning, which interprets human social signals and aims to maximize user amusement.

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Notes

  1. 1.

    https://www.w3.org/TR/speech-synthesis/.

  2. 2.

    http://reeti.fr/index.php/en/.

  3. 3.

    https://www.cereproc.com/en/products/academic.

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Acknowledgment

This research was funded by the European Union PRESENT project, grant agreement No. 856879.

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Correspondence to Hannes Ritschel .

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Ritschel, H., Kiderle, T., Weber, K., Lingenfelser, F., Baur, T., André, E. (2020). Multimodal Joke Generation and Paralinguistic Personalization for a Socially-Aware Robot. In: Demazeau, Y., Holvoet, T., Corchado, J., Costantini, S. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness. The PAAMS Collection. PAAMS 2020. Lecture Notes in Computer Science(), vol 12092. Springer, Cham. https://doi.org/10.1007/978-3-030-49778-1_22

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  • DOI: https://doi.org/10.1007/978-3-030-49778-1_22

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