title: Factors of cognitive complexity of test questions in psychophysiological studies
metadata.name: dc.contributor.author
metadata.value: Gorbunov, Ivan A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Kuprikova, Marina V.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2023-06-23T11:15:50Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2023-06-23T11:15:50Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2023-06
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Gorbunov I. A., Kurpikova M. V. Factors of cognitive complexity of test questions in psychophysiological studies. Vestnik of Saint Petersburg University. Psychology, 2023, vol. 13, issue 2, pp. 244–260. https://doi.org/10.21638/spbu16.2023.208 (In Russian)
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu16.2023.208
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/41671
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The paper presents the results of a study of the functional state evaluations of the brain
  during auditory perception. The subjects listened 60 questions with different linguistic characteristics,
  taken from polygraph database templates, and answered to them. This characteristics:
  is the number of different types of words, the percentage of words from different
  parts of speech, the number of negations, the presence of forms of personal pronouns and
  their place in the question, the number of letters, the percentage of vowels, the position of
  intonational stress. As psychological characteristics that affect the functional state of the
  brain, the following were measured: verbal intelligence according to the R. Amthauer’s test,
  personal and situational anxiety according to the Spielberger — Khanin test. To measure
  the functional state of the brain, a 19-channel EEG was recorded in the 10–20 % system. The
  functional state of the brain was assessed by calculating the fractal dimension of the EEG
  using the method. The sample consisted of students and employees of a number of educational
  institutions in St Petersburg, 9 men and 8 women aged 19 to 59 years. An analysis of
  the experimental data made it possible to confirm the hypothesis about the influence of the
  measured questionnaire characteristics, the linguistic characteristics of the questions, and
  the psychological characteristics of the subjects on the fractal dimension of the EEG. EEG
  analysis in various leads revealed two EEG “complexity” factors related to the frontal and
  occipital areas of the brain. A regression model was obtained for assessing the cognitive
  complexity of a particular test question, which is reflected in the complexity of the EEG
  curve of the subject perceiving this question. The resulting model allows you to select questions
  for psychophysiological examination that have the required level of cognitive complexity.
  The results of the work testify to the importance of such an indicator as the fractal
  dimension of the EEG for studying the functional state of the brain and its dependence both
  on the personal and biological characteristics of a person, and on the emotional state and
  complexity of the information received by the analyzers.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Vestnik of St Petersburg University. Psychology;Volume 13; Issue 2
metadata.lang: -
metadata.name: dc.subject
metadata.value: EEG
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: fractal dimension
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: cognitive complexity
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: linguistic features
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: psychophysiological expertise
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Factors of cognitive complexity of test questions in psychophysiological studies
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 10.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/41671/1/10.pdf
resources.format: Adobe PDF
resources.size: 680,8 kB