TY - GEN
T1 - Improving conversation engagement through data-driven agent behavior modification
AU - Procter, Michael
AU - Lin, Fuhua
AU - Heller, Robert
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - E-learning systems based on a conversational agent (CA) provide the basis of an intuitive, engaging interface for the student. The goal of this paper is to propose an agent-based framework for providing an improved interaction between students and CA-based e-learning applications. Our framework models both the student and the CA and uses agents to represent data sources for each. We describe an implementation of the framework based on BDI (Belief-Desire-Intention) architecture and results of initial testing.
AB - E-learning systems based on a conversational agent (CA) provide the basis of an intuitive, engaging interface for the student. The goal of this paper is to propose an agent-based framework for providing an improved interaction between students and CA-based e-learning applications. Our framework models both the student and the CA and uses agents to represent data sources for each. We describe an implementation of the framework based on BDI (Belief-Desire-Intention) architecture and results of initial testing.
UR - http://www.scopus.com/inward/record.url?scp=84969920082&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-34111-8_33
DO - 10.1007/978-3-319-34111-8_33
M3 - Published Conference contribution
AN - SCOPUS:84969920082
SN - 9783319341101
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 270
EP - 275
BT - Advances in Artificial Intelligence - 29th Canadian Conference on Artificial Intelligence, Canadian AI 2016, Proceedings
A2 - Khoury, Richard
A2 - Drummond, Christopher
T2 - 29th Canadian Conference on Artificial Intelligence, AI 2016
Y2 - 31 May 2016 through 3 June 2016
ER -