心理生理学研究中试题认知复杂性的影响因素

Ivan Gorbunov, Marina Kuprikova
{"title":"心理生理学研究中试题认知复杂性的影响因素","authors":"Ivan Gorbunov, Marina Kuprikova","doi":"10.21638/spbu16.2023.208","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":388528,"journal":{"name":"Vestnik of Saint Petersburg University. Psychology","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Factors of cognitive complexity of test questions in psychophysiological studies\",\"authors\":\"Ivan Gorbunov, Marina Kuprikova\",\"doi\":\"10.21638/spbu16.2023.208\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":388528,\"journal\":{\"name\":\"Vestnik of Saint Petersburg University. Psychology\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Vestnik of Saint Petersburg University. Psychology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21638/spbu16.2023.208\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vestnik of Saint Petersburg University. Psychology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21638/spbu16.2023.208","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文介绍了听觉感知过程中大脑功能状态评估的研究结果。受试者听了60个不同语言特征的问题,并回答了这些问题,这些问题取自测谎数据库模板。这些特征包括:不同类型的词的数量,来自不同词类的词的百分比,否定的数量,人称代词的形式及其在问题中的位置,字母的数量,元音的百分比,语调重音的位置。作为影响大脑功能状态的心理特征,我们测量了以下方面:根据R.Amthauer的测试,测量了语言智力;根据Spielberger - Khanin测试,测量了个人和情境焦虑。为了测量大脑的功能状态,在10-20%系统中记录19通道脑电图。该方法通过计算脑电的分形维数来评估大脑的功能状态。样本包括圣彼得堡一些教育机构的学生和雇员,9名男性和8名女性,年龄在19至59岁之间。通过对实验数据的分析,证实了被测问卷特征、问题语言特征和被测对象心理特征对EEG分形维数影响的假设。不同导联的脑电图分析揭示了与大脑额叶区和枕叶区相关的两个脑电图“复杂性”因素。获得了一个评估特定测试问题认知复杂性的回归模型,该模型反映在感知该问题的被试脑电图曲线的复杂性上。由此产生的模型允许您选择具有所需认知复杂性水平的心理生理学检查问题。工作结果证明了EEG分形维数这一指标对于研究大脑的功能状态及其对个人和生物特征的依赖性,以及对分析仪接收到的信息的情绪状态和复杂性的依赖性的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Factors of cognitive complexity of test questions in psychophysiological studies
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Comparative analysis of the characteristics of patients with coronary heart disease of middle and older age with different dynamics of cognitive functioning during rehabilitation after coronary bypass surgery Productive and unproductive patterns of metacognitive regulation of intellectual performance Competence and PCC approach: opportunities and limitations Psychological idiosyncratic of rebuses as cognitive sense understanding tacks Preliminary adaptation of the Russian version of the TEMPS-A questionnaire
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1