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<Paper uid="P84-1090">
  <Title>Correcting Object-Related Misconceptions: How Should The System Respond? t</Title>
  <Section position="6" start_page="446" end_page="446" type="concl">
    <SectionTitle>
5. Conclusions
</SectionTitle>
    <Paragraph position="0"> * In this paper I have argued that any Natural-Language system that allows the user to engage in extended dialogues must be prepared to handle misconceptions. Through studying various transcripts of how people correct misconceptions, I found that they not only correct the wrong information, but often include additional information to convince the user of the correction and/or refute the reasoning that may have led to the misconception. This paper describes a framework for allowing a computer system to mimic this behavior.</Paragraph>
    <Paragraph position="1"> The approach taken here is first to classify object-related misconceptions according to the KB feature involved. For each resulting class, sub-types are identified in terms of the structure of a KB rather than its content. The sub-types characterize the kind of information that may support the misconception. A correction strategy is associated with each sub-type that indicates what kind of information to include in the response. Finally, algorithms are being developed for identifying the type of a particular misconception based on a user model and a model of the discourse situation.</Paragraph>
  </Section>
class="xml-element"></Paper>