A conversational agent to shift students’ affect state
College
College of Computer Studies
Department/Unit
Software Technology
Document Type
Conference Proceeding
Source Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
9935 LNAI
First Page
86
Last Page
97
Publication Date
1-1-2016
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. © Springer International Publishing Switzerland 2016.
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Digitial Object Identifier (DOI)
10.1007/978-3-319-46218-9_7
Recommended Citation
Ong, E., & Soriano, Z. (2016). A conversational agent to shift students’ affect state. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9935 LNAI, 86-97. https://doi.org/10.1007/978-3-319-46218-9_7
Disciplines
Computer Sciences | Software Engineering
Keywords
Intelligent agents (Computer software); Natural language processing (Computer science)
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