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

Robert P. Schumaker, Ying Liu, Mark Ginsburg, Hsinchun Chen

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)1132-1140
Number of pages9
JournalInternational Journal of Human Computer Studies
Volume64
Issue number11
DOIs
StatePublished - Nov 2006

ASJC Scopus subject areas

  • Software
  • Human Factors and Ergonomics
  • Education
  • Engineering(all)
  • Human-Computer Interaction
  • Hardware and Architecture

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