Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Eeg reactions and behavioral measures, related with the recognition of obscene sentences among the ethnically different people. / Savostyanov, A. N.; Astakhova, T. N.; Meshkova, V. A. et al.
SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 347-351 8958405 (SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - Eeg reactions and behavioral measures, related with the recognition of obscene sentences among the ethnically different people
AU - Savostyanov, A. N.
AU - Astakhova, T. N.
AU - Meshkova, V. A.
AU - Bocharov, A. V.
AU - Tamozhnikov, S. S.
AU - Karpova, A. G.
AU - Borisova, N. V.
PY - 2019/10
Y1 - 2019/10
N2 - The study was aimed to investigate the connection between psychological personality traits and behavioral and EEG reactions to emotionally colored sentences with obscene words among 11 adult Yakuts and 42 Russians. During the experiment, every participant was asked to solve the error recognition task in 220 Russian written sentences containing emotionally colored words. 20 of these sentences contained an abnormal assessment of the aggressor. The results showed that grammatical errors were recognized slower and worse if a sentence described aggression in an abnormal form. In such sentences, the Yakuts were more successful in recognizing errors than Russians. For sentences with abnormal aggression, people with higher level of intelligence showed worse performance in recognition of grammatical error in comparison with lower intelligent participants. In women of both nationalities, EEG theta synchronization was significantly reduced when recognizing obscene vocabulary, as compared to men. Theta synchronization when considering sentences containing emotionally colored vocabulary in Russian men was greatly higher than in Yakuts.
AB - The study was aimed to investigate the connection between psychological personality traits and behavioral and EEG reactions to emotionally colored sentences with obscene words among 11 adult Yakuts and 42 Russians. During the experiment, every participant was asked to solve the error recognition task in 220 Russian written sentences containing emotionally colored words. 20 of these sentences contained an abnormal assessment of the aggressor. The results showed that grammatical errors were recognized slower and worse if a sentence described aggression in an abnormal form. In such sentences, the Yakuts were more successful in recognizing errors than Russians. For sentences with abnormal aggression, people with higher level of intelligence showed worse performance in recognition of grammatical error in comparison with lower intelligent participants. In women of both nationalities, EEG theta synchronization was significantly reduced when recognizing obscene vocabulary, as compared to men. Theta synchronization when considering sentences containing emotionally colored vocabulary in Russian men was greatly higher than in Yakuts.
KW - EEG
KW - emotions
KW - obscene language
KW - speech recognition
UR - http://www.scopus.com/inward/record.url?scp=85079064381&partnerID=8YFLogxK
UR - https://elibrary.ru/item.asp?id=43244485
U2 - 10.1109/SIBIRCON48586.2019.8958405
DO - 10.1109/SIBIRCON48586.2019.8958405
M3 - Conference contribution
AN - SCOPUS:85079064381
T3 - SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings
SP - 347
EP - 351
BT - SIBIRCON 2019 - International Multi-Conference on Engineering, Computer and Information Sciences, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2019
Y2 - 21 October 2019 through 27 October 2019
ER -
ID: 25348589