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Proactivity in Conversational Assistants: The mPLiCA Model Based on a Systematic Literature Review

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Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023) (UCAmI 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 835))

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Abstract

In the last years, we have seen a rise in the use of assistants that are becoming more and more natural in their interactions with people. An emerging characteristic is the proactivity in the assistant interaction. The areas of use for these types of assistants range from health, education, to general assistance for tasks, among others., and the proactivity is usually a means to an end, usually to improve user engagement. Given the growing popularity, we have taken the opportunity in this paper to perform a systematic literature review which focuses on agents with a primary focus on them being proactive. During this, we have observed several interesting patterns, such as the main form of interaction for these agents is through verbal interaction, or the fact that they are usually robots. Many of these papers study user response and feelings to different levels of proactivity, with some defining a time-based proactive response, and other focusing on user involvement when defining proactivity levels. All these findings regarding proactivity make it possible to propose, a model based on the proactivity level and the agent’s ability to learn from each interaction, which is what we are presenting in this paper.

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Notes

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Acknowledgements

This work was supported by SHARA3 project, funded by the Junta de Comunidades de Castilla - La Mancha (SBPLY/21/180501/000160).

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Authors and Affiliations

  1. Spillskolen - Høgskolen i Innlandet INN, Hamar, Norway

    Esperanza Johnson

  2. University of Castilla-La Mancha, UCLM, Ciudad Real, Spain

    Laura Villa, Tania Mondéjar & Ramón Hervás

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  1. Esperanza Johnson
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  2. Laura Villa
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  3. Tania Mondéjar
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  4. Ramón Hervás
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Corresponding author

Correspondence to Esperanza Johnson .

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Editors and Affiliations

  1. MAmI Research Lab, Castilla-La Mancha University, Ciudad Real, Spain

    José Bravo

  2. Anahuac University, Mérida, Yucatán, Mexico

    Gabriel Urzáiz

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Johnson, E., Villa, L., Mondéjar, T., Hervás, R. (2023). Proactivity in Conversational Assistants: The mPLiCA Model Based on a Systematic Literature Review. In: Bravo, J., Urzáiz, G. (eds) Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023). UCAmI 2023. Lecture Notes in Networks and Systems, vol 835. Springer, Cham. https://doi.org/10.1007/978-3-031-48306-6_28

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