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    <identifier>10.57760/sciencedb.46251</identifier>
    <datestamp>2026-08-18T14:47:34Z</datestamp>
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  <dc:date>2026-08-18</dc:date>
  <dc:title>Data for the article &amp;quot;Navigating the AI fog: how perception fuels fatigue through professional identity and cognitive overload in China and Uzbekistan&amp;quot;</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.46251</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset contains survey data from a study investigating how employees' perceptions of artificial intelligence (AI) influence workplace fatigue. Based on the Conservation of Resources (COR) theory, the study employed a questionnaire survey and collected anonymous data from 515 employees in China and Uzbekistan. The dataset includes respondents' demographic information (e.g., age, gender, education level) and scores on five core scales measuring AI perception, professional identity, cognitive overload, digital literacy, and employee fatigue.</dc:description>
  <dc:subject>This dataset contains survey data from a study investigating how employees' perceptions of artificial intelligence (AI) influence workplace fatigue. Based on the Conservation of Resources (COR) theory; the study employed a questionnaire survey and collected anonymous data from 515 employees in China and Uzbekistan. The dataset includes respondents' demographic information (e.g.; age; gender; education level) and scores on five core scales measuring AI perception; professional identity; cognitive overload; digital literacy; and employee fatigue.</dc:subject>
  <dc:creator>钟筱彤</dc:creator>
  <dc:creator>李亦凡</dc:creator>
  <dc:creator>Fazliddin Urinov</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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