Evaluating mass knowledge acquisition using the ALICE chatterbot: the AZ-ALICE dialog system

Authors:
Robert P. Schumaker;Ying Liu;Mark Ginsburg;Hsinchun Chen
Affiliations:
Artificial Intelligence Laboratory, Department of Management Information Systems, The University of Arizona, Tucson, Arizona, AZ;Artificial Intelligence Laboratory, Department of Management Information Systems, The University of Arizona, Tucson, Arizona, AZ;Artificial Intelligence Laboratory, Department of Management Information Systems, The University of Arizona, Tucson, Arizona, AZ;Artificial Intelligence Laboratory, Department of Management Information Systems, The University of Arizona, Tucson, Arizona, AZ
Venue:
International Journal of Human-Computer Studies
Year:
2006

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Abstract

In this paper, we evaluate mass knowledge acquisition using modified ALICE chatterbots. In particular we investigate the potential of allowing subjects to modify chatterbot responses to see if distributed learning from a web environment can succeed. This experiment looks at dividing knowledge into general conversation and domain specific categories for which we have selected telecommunications. It was found that subject participation in knowledge acquisition can contribute a significant improvement to both the conversational and telecommunications knowledge bases. We further found that participants were more satisfied with domain-specific responses rather than general conversation.