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Affect-Aware Conversational Agent for Intelligent Tutoring of Students in Nursing Subjects

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Intelligent Tutoring Systems (ITS 2021)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 12677))

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In many social professions employees require skills in affect- and situation-aware social interaction. One option for teaching and training such social interaction skills by computer-based training methodology is the use of dialogue simulations. Here, a student interacts with a simulated dialogue partner and the dialogue flow explores specific interaction situations and affectual settings. Conversational agents provide a basic technology for creating such dialogue simulations. However, they usually lack a means for managing affect-related dialogue state. In this paper we propose an approach to integrate affective reasoning into a conversational agent for intelligent tutoring applications in order to improve the agent’s ability to recognise dialogue intents, generate emotionally aligned responses, and provide a metric for evaluating student performance.

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This project is funded by the European Social Fund (ESF) through the Excellence Initiative of the State Mecklenburg-Vorpommern (grant number: ESF/14-BM-A55-0020/19). We thank our domain experts from HS Neubrandenburg and DZNE for their invaluable contribution in providing real world data for developing the dialogue models.

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Correspondence to Moh’d Abuazizeh .

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Abuazizeh, M., Yordanova, K., Kirste, T. (2021). Affect-Aware Conversational Agent for Intelligent Tutoring of Students in Nursing Subjects. In: Cristea, A.I., Troussas, C. (eds) Intelligent Tutoring Systems. ITS 2021. Lecture Notes in Computer Science(), vol 12677. Springer, Cham.

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80420-6

  • Online ISBN: 978-3-030-80421-3

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