Publication: Manifestation of Task’s Cognitive Complexity in Mimic Micromovements: Prognostic Model
Дата
2022
Авторы
Khavylo, A. V.
Engalychev, V. F.
Leonova, E. V.
Danshin, V.
Mirzeabasov, O. A.
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Аннотация
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.The problem of recognizing facial muscles micro-movements, corresponding to various mental states when lying is considered. The objective of the current study is to determine individual mimic indicators of task complexity. The subject of the study was dynamic characteristics of mimic muscles’ micro-movements when answering complex or simple questions. Mimic activity of 12 participants during answering 50 simple and 50 complex questions was studied. The original system of intelligent machine vision let us to digitize respondent’s face muscles micro-movements during the following parts of interview: hearing, thinking, and response (for each question). The R v.3.5.0 language was used for data analysis. Multidimensional statistical methods (factor analysis, cluster analysis, spectral analysis) were applied. Results of 1200 video fragments analysis are presented. High accuracy estimation the subjective complexity of each question for each respondent by facial muscles micro-movement analysis is shown. The implementation of the method into forensic psychological examination practice (or as investigative tool) lets to determine complex for each defendant questions correctly and lead to unerring conclusions.
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Manifestation of Task’s Cognitive Complexity in Mimic Micromovements: Prognostic Model / Khavylo, A.V. [et al.] // Lecture Notes in Networks and Systems. - 2022. - 359 LNNS. - P. 257-265. - 10.1007/978-3-030-89880-9_20
URI
https://www.doi.org/10.1007/978-3-030-89880-9_20
https://www.scopus.com/record/display.uri?eid=2-s2.0-85119891326&origin=resultslist
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000793730500020
https://openrepository.mephi.ru/handle/123456789/28599
https://www.scopus.com/record/display.uri?eid=2-s2.0-85119891326&origin=resultslist
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000793730500020
https://openrepository.mephi.ru/handle/123456789/28599