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<Paper uid="P86-1016">
  <Title>The ROMPER System: Responding to Object-Related Misconceptions using Perspective 1</Title>
  <Section position="8" start_page="103" end_page="103" type="concl">
    <SectionTitle>
6 Conclusion
</SectionTitle>
    <Paragraph position="0"> If we want our natural-language front-ends to database or expert systems to mimic human behavior, they must have the ability to handle misconceptions. This paper has described a methodology for handling object-related misconceptions and has illustrated this methodology on misconceptions involving object misclassificatlons.</Paragraph>
    <Paragraph position="1"> The proposed method for responding to object-related misconceptions requires associating response schemas with certain structural configurations of the user model. The response schemas described in this paper were derived from a corpus of transcripts and were associated with user model configurations that would explain their use by a human expert in responding to a misconception.</Paragraph>
    <Paragraph position="2"> A system might use the pairing of strategies to configurations upon encountering an object-related misconception by searching the user model for one of the identified configurations. If one was found, the associated schema could be instantiated to generate a corrective response.</Paragraph>
    <Paragraph position="3"> The context-dependent nature of responses to misconceptions is accounted for not by having the pracess of correcting misconceptions change with context, but rather by having what the process tnorks on change with context. A new notion of object perspective was introduced as an augmentation to a flat semantic network representation of the user. Object perspective provides a highlighting of the user model as a result of previous discourse. This resulting user model was shown sufficient for accounting for different responses being given to the same misconception in different situations.</Paragraph>
  </Section>
class="xml-element"></Paper>
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