Cardiometric assessment of visual stimuli to identify likely reactions to destructive network content
Автор: Brodovskaya Elena V., Dombrovskaya Anna Yu., Kravchuk Ivan D., Likhacheva Elvira V., Lukushin Vladimir A., Nikolaeva Lyubov P., Ognev Alexander S., Parma Roman V.
Журнал: Cardiometry @cardiometry
Рубрика: Original research
Статья в выпуске: 29, 2023 года.
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The article presents the experimental confirmation of the hypothesis that with the cardio- and oculometric assessment of various types of visual content, it is possible to conduct a selective analysis of the stimulus material used in projective diagnostics and identify a group of images most suitable for current consultation, and it also shows that there is often an increased interest in content that symbolizes the value of rivalry and risky forms of the behavior, with a high degree of probability, will correlate with the rapid manifestation of the respondent’s dissatisfaction with various kinds of restrictions on his/her behavior.
Projective psychodiagnostics, psychosemantics, cognitive schemes, causal attribution, destructive content
Короткий адрес: https://sciup.org/148327843
IDR: 148327843 | DOI: 10.18137/cardiometry.2023.29.4753
Список литературы Cardiometric assessment of visual stimuli to identify likely reactions to destructive network content
- Azarov AA, et al. PREDICTOR MINING: application of data mining methods in social computing problems. Proceedings of SPIIRAN. 2013;3(26):136-61. EDN: QIXKLB [in Russian]
- Brodovskaya EV, et al. Internet communications of Russian political parties in the current electoral cycle: results of oculometric analysis of network content. Political Science.2021;3:112-41. EDN: GTYLYP [in Russian]
- Ognev AS, Likhacheva EV. The practice of introducing positive-oriented subjectogenesis into the higher education system. Psychology. Journal of the Higher School of Economics.2014;11(2):51-67. EDN: TWHXML [in Russian]
- Rosenova MI, et al. Methods for assessing the effectiveness of Sandplay therapy for adults. Modern Foreign Psychology.2022;11(4):61-72. EDN: IACGGP [in Russian]
- Rosenova MI, et al. Stress and fear in extreme situations. Modern Foreign Psychology. 2020;9(1):94-102. EDN: YAXMRI [in Russian]
- Rozenova MI, et al. Fear as a mental health crisis in conditions of global risks and changes. Modern Foreign Psychology. 2021;10(1):17-26. EDN: JMSWTE [in Russian]
- Brodovskaya EV, et al. Cardiometric assessment of the subjective significance of personal strategic goals as components of the image of the desired future. Cardiometry. 2022;24:159-64. EDN: YFZKIS
- Brodovskaya EV, et al. Reverse techniques as a means of increasing the validity of the cardio-oculometric diagnostics. Cardiometry. 2021;18:33-7. EDN: DJTXKL
- Brodovskaya EV, et al. The use of cardiometric and electrodermal activity indicators for the assessment of visual online content. Cardiometry. 2023;26:122-6. EDN: VGXIPQ
- Likhacheva EV, Ognev AS, Kazakov KA. Hardiness and purpose in life of modern Russian students. Middle East Journal of Scientific Research. 2013;14(6):795-8.
- Ognev AS. Cardio-oculometric (cardio-oculographic) detection of functional states in a human individual. Cardiometry. 2019;14:105. EDN: KJSPIZ
- Ognev AS. New possibilities of combining multimodal game modeling and cardiometric detection in instrumental cognitive science. Cardiometry. 2023;28:13-8. EDN: TBNXMP
- Ognev AS, Likhacheva EV. Implementation of Positive Subjectivity Genesis in Higher Education System. Psychology. Journal of the Higher School of Economics. 2014;11(2):51-67. EDN: TWHXML
- Ognev AS, et al. Cardiometric detection of effects and patterns of emotional responses by a human individual to verbal, audial and visual stimuli. Cardiometry. 2019;14:79-86. EDN: OUWRLY
- Ognev AS, et al. Cardiometric taxonomy of stress-indicators potential in diverse domestic situations. Cardiometry. 2019;14:101-4. EDN: LNQTOU
- Ognev AS, et al. Use of cardiometry and oculography in concealed information detection. Cardiometry. 2019;14:87-95. EDN: VUAFMP
- Ognev AS, et al. Validity of cardiometric performance data: an integral part of complex assessment of training session effectiveness. Cardiometry. 2019;14:96-100. EDN: YWMEUX
- Zernov VA, et al. Cardiometric fingerprints of various human ego states. Cardiometry. 2019;15:38-42. EDN: FGZNDX
- Zernov VA, et al. Cardio-oculometric indicator of psychophysiological readiness of students to examinations. Cardiometry. 2020;16:28-34. EDN: USIYPP
- Zernov VA, et al. Cardiometric confirmations of psychotherapeutic effectiveness of psychological sand modeling. Cardiometry. 2021;19:38-42. EDN: BFXJSF
- Zernov VA, et al. Cardiometric evidence data on human self-control of emotional states in the context of the use of metaphoric associative cards. Cardiometry. 2020;16:55-61. EDN: KDHMIH
- Zernov VA, et al. Cardiometric support of visual kinetic modeling. Cardiometry. 2022;23:41-5. EDN: EOLVJT
- Zernov VA, et al. The use of Cardiometry in development self-control skills by means of game sand modeling. Cardiometry. 2022;22:95-9. EDN: QNGXRQ