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

Disciplines

Computer Sciences | Software Engineering

Keywords

Intelligent agents (Computer software); Natural language processing (Computer science)

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