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Wyszukujesz frazę "Valence" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
Transition of emotions from the negatively excited state to positive unexcited state: an ERP perspective
Autorzy:
Singh, Moon Inder
Singh, Mandeep
Powiązania:
https://bibliotekanauki.pl/articles/2106415.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
EEG
emotion
emotion transition
arousal
valence
Opis:
The cognitive aspects like perception, problem-solving, thinking, task performance, etc., are immensely influenced by emotions making it necessary to study emotions. The best state of emotion is the positive unexcited state, also known as the HighValence LowArousal (HVLA) state of the emotion. The psychologists endeavour to bring the subjects from a negatively excited state of emotion (Low Valence High Arousal state) to a positive unexcited state of emotion (High Valence Low Arousal state). In the first part of this study, a four-class subject independent emotion classifier was developed with an SVM polynomial classifier using average Event Related Potential (ERP) and differential average ERP attributes. The visually evoked Electroencephalogram (EEG) signals were acquired from 24 subjects. The four-class classification accuracy was 83% using average ERP attributes and 77% using differential average ERP attributes. In the second part of the study, the meditative intervention was applied to 20 subjects who declared themselves negatively excited (in Low Valence High Arousal state of emotion). The EEG signals were acquired before and after the meditative intervention. The four-class subject independent emotion classifier developed in Study 1 correctly classified these 20 subjects to be in a negatively excited state of emotion. After the intervention, 16 subjects self-assessed themselves to be in a positive unexcited (HVLA) state of emotion (which shows the intervention accuracy of 80%). Testing a four-class subject independent emotion classifier on the EEG data acquired after the meditative intervention validated 13 of 16 subjects in a positive unexcited state, yielding an accuracy of 81.3%.
Źródło:
Metrology and Measurement Systems; 2022, 29, 2; 405--423
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Emotional Arousal and Valence and the Effects of Civic Education
Autorzy:
Wawrzyński, Patryk
Marszałek-Kawa, Joanna
Powiązania:
https://bibliotekanauki.pl/articles/2191735.pdf
Data publikacji:
2023-03-31
Wydawca:
Wydawnictwo Adam Marszałek
Tematy:
arousal
valence
civic education
prosocial behaviour
attitude change
Opis:
The paper discusses the influence of FaceReader-coded emotional arousal and valence on the effectiveness of civic education. The experimental design allowed the authors to observe relationships between emotional responsiveness and memorisation, attitude change, and prosocial behaviour. In the study with 90 adult participants, we video-recorded facial expressions while watching three parallel versions of a narrative on anti-communist opposition in Poland. The analysis of collected data suggested that emotional arousal is associated with prosocial behaviour and the valence of signalling with an attitude change, while cognitive effects are not related to emotional responsiveness. Moreover, civic education depends on the triad of emotions: sadness, happiness, and disgust.
Źródło:
The New Educational Review; 2023, 71; 168-179
1732-6729
Pojawia się w:
The New Educational Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Electrodermal activity measurements for detection of emotional arousal
Autorzy:
Kołodziej, M.
Tarnowski, P.
Majkowski, A.
Rak, R. J.
Powiązania:
https://bibliotekanauki.pl/articles/200323.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
electrodermal activity
EDA
galvanic skin response
GSR
skin conductance response
SCR
feature selection
arousal
valence
classification
regression
Opis:
In this article, we present a comprehensive measurement system to determine the level of user emotional arousal by the analysis of electrodermal activity (EDA). A number of EDA measurements were collected, while emotions were elicited using specially selected movie sequences. Data collected from 16 participants of the experiment, in conjunction with those from personal questionnaires, were used to determine a large number of 20 features of the EDA, to assess the emotional state of a user. Feature selection was performed using signal processing and analysis methods, while considering user declarations. The suitability of the designed system for detecting the level of emotional arousal was fully confirmed, throughout the number of experiments. The average classification accuracy for two classes of the least and the most stimulating movies varies within the range of 61‒72%.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2019, 67, 4; 813-826
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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