| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 400797 | International Journal of Human-Computer Studies | 2006 | 9 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Robert P. Schumaker, Ying Liu, Mark Ginsburg, Hsinchun Chen,