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<Paper uid="N04-3002">
  <Title>ITSPOKE: An Intelligent Tutoring Spoken Dialogue System</Title>
  <Section position="6" start_page="0" end_page="0" type="concl">
    <SectionTitle>
5 Summary
</SectionTitle>
    <Paragraph position="0"> The goal of ITSPOKE is to generate an empirically-based understanding of the implications of using speech instead of text-based dialogue tutoring, and to use these results to build an improved version of ITSPOKE. We are currently analyzing our corpus of dialogues with ITSPOKE to determine whether spoken dialogues yield increased performance compared to text with respect to a variety of evaluation metrics, and whether acoustic-prosodic features only found in speech can be used to better predict pedagogically useful information such as student emotions. Our next step will be to modify the dialogue manager inherited from Why2-Atlas to use new tutorial strategies optimized for speech, and to enhance ITSPOKE to predict and adapt to student emotion. In previous work on adaptive (non-tutoring) dialogue systems (Litman and Pan, 2002), adaptation to problematic dialogue situations measurably improved system performance.</Paragraph>
  </Section>
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