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A Conversational Agent to Shift Students’ Affect State

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Principles and Practice of Multi-Agent Systems (CMNA 2015, IWEC 2015, IWEC 2014)

Abstract

When a student is feeling negatively while doing some required tasks in a learning environment, in this case, a reading assessment exercise, a conversation with the tutor agent can be initiated to engage the student in an affective text-based dialogue as a means of intervention. Such dialogue can revolve around everyday, commonsense topics that may be related to the reading material or exercise at hand. A semantic ontology populated with commonsense concepts from existing knowledge sources, specifically ConceptNet and SenticNet, provides the conversational agent with the candidate set of topics for discourse. To facilitate the validation of the dialogue system with children, the conversational tutor agent was integrated into a learning environment platform that supports reading of short stories.

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Correspondence to Ethel Chua Joy Ong .

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Ong, E.C.J., Soriano, Z.C. (2016). A Conversational Agent to Shift Students’ Affect State. In: Baldoni, M., et al. Principles and Practice of Multi-Agent Systems. CMNA IWEC IWEC 2015 2015 2014. Lecture Notes in Computer Science(), vol 9935. Springer, Cham. https://doi.org/10.1007/978-3-319-46218-9_7

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  • DOI: https://doi.org/10.1007/978-3-319-46218-9_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46217-2

  • Online ISBN: 978-3-319-46218-9

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