Abstract
M-Path is an embodied conversational agent developed to achieve natural interaction using empathic behaviors. This paper is aimed to describe the details of the conversational management system within the M-Path framework that manages dialogue interaction with an emotional awareness. Our conversational system is equipped with a goal-directed narrative structure that adapts to the emotional reactions of the user using empathy mechanisms. We further show the implementation and a preliminary evaluation of our system in a consultation scenario, where our agent uses text-based dialogue interaction to conduct surveys.
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Acknowledgements
This work was partially supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) [RGPIN-2019-06767].
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Yalçın, Ö.N., DiPaola, S. (2020). M-Path: A Conversational System for the Empathic Virtual Agent. In: Samsonovich, A. (eds) Biologically Inspired Cognitive Architectures 2019. BICA 2019. Advances in Intelligent Systems and Computing, vol 948. Springer, Cham. https://doi.org/10.1007/978-3-030-25719-4_78
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DOI: https://doi.org/10.1007/978-3-030-25719-4_78
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