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    <identifier>10.57760/sciencedb.12133</identifier>
    <datestamp>2023-10-13T15:50:11Z</datestamp>
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  <dc:date>2023-10-13</dc:date>
  <dc:title>Risk Decision Making and Flight Simulation Testing for an Airline</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.12133</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Analyzing civil aviation accidents over the past decade reveals that more than 70% of these incidents are linked to pilot decision-making errors or adverse emotional states. This underscores the pivotal role a pilot's risk decision-making capacity plays in ensuring the safety and success of flight missions. While numerous methods exist to assess and train pilots' decision-making skills, pinpointing their decision-making tendencies during crucial moments with precision and clarity remains challenging. Vibration imaging technology, an innovative method for emotion measurement, introduces an avenue to anticipate decision-making behaviors by capturing pilots' physiological responses. This research endeavors to investigate the applicability of this technology in forecasting pilot risk decision-making, with the aspiration of furnishing a robust auxiliary tool for enhancing flight training and safety.</dc:description>
  <dc:subject>VibraImage; Risk Decision Making; Flight Simulation; Pilot</dc:subject>
  <dc:creator>huang rui</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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