Proceedings

SIS: A Shell for Interview Systems

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Proceedings of the Tenth International Joint Conference on Artificial Intelligence. Knowledge Acquisition. Pages 359-360.

Abstract

An interviewer has two kinds of knowledge. One is about a domain under consideration and the other is knowledge for interview itself which makes the interviewer an expert of interview. The latter seems to be independent of the domain because an experienced interviewer, such as a TV interviewer, can carry on his tasks in many fields. Furthermore, we believe that the interview knowledge consists of several interview knowledge primitives. Based on this idea, we are developing SIS, a Shell for Interview Systems which has seven question strategy primitives as the knowledge for interviewing. Generality and effectiveness of SIS are shown through two implementation examples of interview systems, I 2 s and MORE. The seven primitives are shown to be efficient for the two system whose domains and tasks are entirely different.

Atsuo Kawaguchi, Riichiro Mizoguchi, Takahira Yamaguchi, and Osamu Kakusho. 1987. SIS: A Shell for Interview Systems. In Proceedings of the Tenth International Joint Conference on Artificial Intelligence, IJCAI-87. IJCAI, 359–360. https://ijcai.org/proceedings/1987/74
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