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There was one session with four runs of each 40 trials: one calibration run and three runs where feedback was provided.\r\n\r\nCognitive and Psychological tests that were administered:\r\n* Demographics\r\n* Five Factor Personality Inventory\r\n* Vividness of Visual Imagery\r\n* Affinity for Technology Interaction Scale\r\n* Design Organization Test\r\n* Mental Rotation Test\r\n* Questionnaire of Current Motivation\r\n\r\nThe classification errors as well as the raw EEG is provided.\r\n\r\nThe full protocol of administering the data can be found here:\r\nhttps://www.protocols.io/private/068E01E0BBBD11EB956C0A58A9FEAC02"}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Computer and Information Science","Social Sciences"]},{"typeName":"keyword","multiple":true,"typeClass":"compound","value":[{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Tilburg University"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Human-Computer Interaction"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Brain Computer Interfaces"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Cognition"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Personality"}}]},{"typeName":"publication","multiple":true,"typeClass":"compound","value":[{"publicationCitation":{"typeName":"publicationCitation","multiple":false,"typeClass":"primitive","value":"Leeuwis, N., Paas, A., & Alimardani, M. (2021). Vividness of Visual Imagery and Personality Impact Motor-Imagery Brain Computer Interfaces. Frontiers in Human Neuroscience, 15."},"publicationIDType":{"typeName":"publicationIDType","multiple":false,"typeClass":"controlledVocabulary","value":"doi"},"publicationIDNumber":{"typeName":"publicationIDNumber","multiple":false,"typeClass":"primitive","value":"10.3389/fnhum.2021.634748"},"publicationURL":{"typeName":"publicationURL","multiple":false,"typeClass":"primitive","value":"https://doi.org/10.3389/fnhum.2021.634748"}},{"publicationCitation":{"typeName":"publicationCitation","multiple":false,"typeClass":"primitive","value":"Leeuwis, N., & Alimardani, M. (2020, October). High Aptitude Motor-Imagery BCI Users Have Better Visuospatial Memory. In 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 1518-1523). IEEE."}}]},{"typeName":"notesText","multiple":false,"typeClass":"primitive","value":"Method: \r\nElectroencephalography signals were recorded from 16 electrodes according to the 10-20 international system (F3, Fz, F4, FC1, FC5, FC2, FC6, C3, Cz, C4, CP1, CP5, CP2, CP6, T7, and T8). A reference electrode was set on the right earlobe and a ground electrode on AFz. EEG signals were amplified by a g.Nautilus amplifier (g.tec Medical Engineering, Austria).\r\nThe online classification errors were calculated by g.BSanalyze, which is a Simulink-based high-speed online processing package (g.tec Medical Engineering, Austria).\r\nQuestionnaires were administered using Qualtrics software (Qualtrics, Provo, UT, United States), The Design Organization Test was conducted on paper and the Mental Rotation Task was conducted via psychometric toolboxes in Matlab.\r\n\r\nUniverse: \r\nParticipants were BCI novices (36 females, 21 males, MAge = 20.71, SDAge = 3.52) recruited from Tilburg University students. 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