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<TITLE>LREC 2000 - Paper 312 summary</title>
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<TD height="50" valign="center" colspan="7" bgcolor="#003163"><font face="Arial" size="4" color="#ffffff"><b>LREC 2000</b> 2<sup>nd</sup>
      International Conference on Language Resources &amp; Evaluation</font></TD>
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      <td width="15%" height="40"><b>Title</b></font></td>
      <td width="85%" height="40"><font color="#990033" size="4">Automotive Speech-Recognition - Success Conditions Beyond Recognition Rates</font></td>
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      <td height="40"><b>Authors</b></td>
      <td height="40"><font color="#006600">Bengler Klaus</font> (BMW AG, Knorrstr. 147, 80788 Munich, Germany, klaus.bengler@bmw.de)</td>
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      <td height="40"><b>Keywords</b></td>
      <td height="40">&nbsp;</td>
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      <td height="40"><b>Session</b></td>
      <td height="40">Session SO6 - Recognition</td>
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      <td height="40"><b>Full Paper</b></td>
            <td height="40"><a href="../../ps/312.ps" target="newps" type="application/postscript">312.ps</a>, <a href="../../pdf/312.pdf" target="newpdf" type="application/pdf">312.pdf</a></td>
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      <td height="40"><b>Abstract</b></td>
             <td height="40">From a car-manufacturer’s point of view it is very important to integrate evaluation procedures into the MMI development process. Focusing the usability evaluation of speech-input and speech-output systems aspects beyond recognition rates must be fulfilled. Two of these conditions will be discussed based upon user studies conducted in 1999:
• Mental-workload and distraction
• Learnability</td>
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