Mental Chronometry of Speech Comprehension and Data Science Approach to Intelligent Database in Cognitive Science

Dmitri A. Lebedkin, Alexander E. Saprygin, Evgeny G. Vergunov, Alexander N. Savostyanov

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

Аннотация

One of the key problems of modern cognitive research is the development of methods for unbiased assessment of people's personality traits. The methods of personality questionnaires traditional for psychology in some cases give inadequate assessments that arise as a result of the respondent's unwillingness to truthfully answer the test questions, or his unconscious distortion of self-esteem. As an alternative, methods of implicit assessment of personality traits have been developed. One of these methods is the analysis of the characteristics of a person's response to the emotionally colored phrases. In this study, we analyzed behavioral responses under conditions of recognition of negative emotional sentences describing aggression either of the participant or others. We have proposed a statistical analysis model that makes it possible to evaluate the personal specificity of a person's response to the appearance of such sentences, taking into account both the semantic and grammatical features of verbal stimuli. It was shown that the usage of Data Science for processing behavioral data in terms of implicit recognition of speech emotions can be used to compile Intelligent Databases that reflect the psychological personality traits of survey participants.

Язык оригиналаанглийский
Название основной публикацииProceedings of the 2022 IEEE 23rd International Conference of Young Professionals in Electron Devices and Materials, EDM 2022
ИздательIEEE Computer Society
Страницы519-524
Число страниц6
ISBN (электронное издание)9781665498043
DOI
СостояниеОпубликовано - 2022
Событие23rd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2022 - Altai, Российская Федерация
Продолжительность: 30 июн. 20224 июл. 2022

Серия публикаций

НазваниеInternational Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM
Том2022-June
ISSN (печатное издание)2325-4173
ISSN (электронное издание)2325-419X

Конференция

Конференция23rd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2022
Страна/TерриторияРоссийская Федерация
ГородAltai
Период30.06.202204.07.2022

Предметные области OECD FOS+WOS

  • 5.01 ПСИХОЛОГИЧЕСКИЕ НАУКИ
  • 1.02.EP ИНФОРМАТИКА, ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ

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