<?xml version="1.0" standalone="yes"?>
<Paper uid="P04-1012">
  <Title>User Expertise Modelling and Adaptivity in a Speech-based E-mail System</Title>
  <Section position="5" start_page="0" end_page="0" type="concl">
    <SectionTitle>
5 Conclusions
</SectionTitle>
    <Paragraph position="0"> Previous studies concerning user modelling in various interactive applications have shown the importance of the user model in making the interaction with the system more enjoyable. We have introduced the three-level user expertise model, implemented in our speech-based e-mail system, AthosMail, and argued for its effect on the behaviour of the overall system.</Paragraph>
    <Paragraph position="1"> Future work will focus on analyzing the data collected through the evaluations of the complete AthosMail system with real users. Preliminary expert evaluation revealed that it is important to make sure the novice user is not intimidated and feels comfortable with the system, but also that the experienced users should not be forced to listen to the same advice every time they use the system.</Paragraph>
    <Paragraph position="2"> The hand-tagged error classification shows a slight downward tendency in user errors, suggesting accumulation of user experience. This will act as a point of comparison for the user expertise model assembled automatically by the system.</Paragraph>
    <Paragraph position="3"> Another future research topic is to apply machine-learning and statistical techniques in the implementation of the user expertise model.</Paragraph>
    <Paragraph position="4"> Through the user studies we will also collect data which we plan to use in re-implementing the DASEX decision mechanism as a Bayesian network.</Paragraph>
  </Section>
class="xml-element"></Paper>