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        <article-title>MonitAR?</article-title>
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        <contrib contrib-type="author">
          <string-name>Hayley Borck</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
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        <aff id="aff0">
          <label>0</label>
          <institution>Adventium Labs</institution>
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          <addr-line>111 Third Ave South Suite 100, Minneapolis, MN 55401</addr-line>
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          <country country="US">USA</country>
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      <abstract>
        <p>In this video we present a novel application of Case-based Reasoning (CBR) that combines Intelligent Tutoring Systems (ITS) using Augmented Reality (AR) and prediction. The MonitAR system is an intelligent guidance system for users conducting procedures during periods when a human expert has limited or no availability to assist the user. Our approach takes advantage of the relational nature of time-series data to detect a task that the user is completing and diagnose the issue when the user is about to make a mistake. MonitAR uses AR cues to guide the user away from these potential mistakes. Using proven pedagogical models, MonitAR is able to e ectively assist, train, or retrain users in domains ranging from astronauts to mechanics.</p>
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        <kwd>Intelligent Tutoring System</kwd>
        <kwd>Task Prediction</kwd>
        <kwd>Augmented Reality</kwd>
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