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    <responseDate>2026-10-14T10:18:15Z</responseDate>
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    <identifier>10.57760/sciencedb.44007</identifier>
    <datestamp>2026-07-23T15:16:44Z</datestamp>
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  <dc:date>2026-07-23</dc:date>
  <dc:title>EEG and Questionnaire Data on Human-Machine Trust Repair</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.44007</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset contains experimental data collected for a study on human-machine cooperative trust, with a focus on trust repair mechanisms following system failures. The study involved 40 participants who completed a human-machine collaboration task while their EEG signals were recorded. Participants also completed questionnaires to assess trust levels at three time points: baseline (T0), after normal collaboration (T1), and after fault repair (T2).The dataset includes:Raw EEG data (recorded from X electrodes, sampling rate: X Hz)Questionnaire responses measuring trust levelsExperimental task logsPreprocessed EEG data (after artifact removal and filtering)All data have been anonymized to protect participant privacy. Participants provided written informed consent prior to participation. This study was approved by the Institutional Review Board and conducted in accordance with the Declaration of Helsinki.Funding: This work was supported by the National Natural Science Foundation of China [Grant No. 62006121].</dc:description>
  <dc:subject>Human-Machine Trust; Trust Repair; EEG Questionnaire; Human-Computer; Interaction Behavioral Science</dc:subject>
  <dc:creator>Zhu Yi</dc:creator>
  <dc:creator>Kan Qian</dc:creator>
  <dc:creator>Wang Shasha</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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