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Wyszukujesz frazę "emotion" wg kryterium: Temat


Tytuł:
Changes in acceptance and suppression of negative and positive emotions in patients with depressive disorders : a longitudinal study
Autorzy:
Pastuszak-Draxler, Anna
Gierowski, Józef
Opis:
Background: Difficulties with emotion regulation are present in most mental disorders. However, we know little about changes in negative and positive emotions during the treatment process. The present longitudinal study, therefore, focuses on such changes and investigates acceptance and suppression, separately for negative and positive emotions during the treatment process. Aims: The goals were to investigate whether there is a measurable change of acceptance and suppression of negative and positive emotions during the course of treatment of depressive patients and to investigate how such patients compare at the end of their treatment with healthy controls. Method: The sample comprised 40 patients with a depressive disorder and 29 healthy controls. The Beck Depression Inventory and the State Trait Anxiety Inventory were used to assess symptoms. The Emotion Acceptance Questionnaire - assessing acceptance and suppression of negative and positive emotions - was used twice: once at the beginning and once at the end of treatment. Results: Depressive patients reported a reduced acceptance of positive and negative emotions compared with controls, but they suppressed emotions more intensively. Suppression of negative and positive emotions throughout the study was related to the level of depression and anxiety symptoms. Conclusions: Analysis showed a significant improvement in emotion regulation strategies towards the end of treatment. However, patients did not reach the same level of capability as healthy controls. For future research, we suggest extending the study by observing the specifics of emotion regulation changes over a longer period of time.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Tytuł:
Strategies of Emotion Regulation in Students - Future Human Relations Professionals
Autorzy:
Prosen, Simona
Smrtnik Vitulić, Helena
Tematy:
emotion
emotion regulation strategy
efficient emotion regulation
students
education
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Wydawca:
Wydawnictwo Adam Marszałek
Powiązania:
https://bibliotekanauki.pl/articles/2031748.pdf  Link otwiera się w nowym oknie
Opis:
In the presented study, selected emotion regulation (ER) strategies were designed in accordance with Gross and Thompson’s model. Students of primary education (n = 116), social pedagogy (n = 72) and preschool education (n = 54) - future human relations professionals - assessed the frequency of the use and efficiency of these ER strategies. Students use various ER strategies, the most frequent and efficient being physical activation and social support, and the least frequent and efficient being substance use. Correlations between the use and efficiency of ER strategies within the groups of students are mostly moderately high or high. There are only a few differences between the student groups in terms of perception of the use and efficiency of ER strategies.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Transition of emotions from the negatively excited state to positive unexcited state: an ERP perspective
Autorzy:
Singh, Moon Inder
Singh, Mandeep
Tematy:
EEG
emotion
emotion transition
arousal
valence
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Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:
https://bibliotekanauki.pl/articles/2106415.pdf  Link otwiera się w nowym oknie
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%.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Recognition of Human Emotion from a Speech Signal Based on Plutchiks Model
Autorzy:
Kamińska, D.
Pelikant, A.
Tematy:
emotion detection
Plutchik's wheel of emotion
speech signal
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Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:
https://bibliotekanauki.pl/articles/227272.pdf  Link otwiera się w nowym oknie
Opis:
Machine recognition of human emotional states is an essential part in improving man-machine interaction. During expressive speech the voice conveys semantic message as well as the information about emotional state of the speaker. The pitch contour is one of the most significant properties of speech, which is affected by the emotional state. Therefore pitch features have been commonly used in systems for automatic emotion detection. In this work different intensities of emotions and their influence on pitch features have been studied. This understanding is important to develop such a system. Intensities of emotions are presented on Plutchik's cone-shaped 3D model. The k Nearest Neighbor algorithm has been used for classification. The classification has been divided into two parts. First, the primary emotion has been detected, then its intensity has been specified. The results show that the recognition accuracy of the system is over 50% for primary emotions, and over 70% for its intensities.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Adolescents’ emotional abilities and stress coping strategies: The moderating role of gender
Autorzy:
Piekarska, Joanna
Martowska, Katarzyna
Tematy:
emotional intelligence
stress coping strategies
emotion recognizing
emotion understanding
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Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Powiązania:
https://bibliotekanauki.pl/articles/2121885.pdf  Link otwiera się w nowym oknie
Opis:
Emotional intelligence (EI) is conceptualized as a personality trait or an ability. Most of conducted studies on EI-coping association referred to trait emotional intelligence. Therefore, the role of ability emotional intelligence is less clear and need to be further studied. The present study examined the relationship between two EI abilities (emotion recognizing and emotion understanding) and stress coping strategies in adolescent men and women. The data were collected from 1033 Polish high school students (520 men and 512 women) aged 18-20 years (Mage = 18.46 years). Coping strategies were assessed using the COPE inventory and emotional abilities were measured using the Emotional Intelligence Scale – Faces (SIE-T) and the Emotion Understanding Test (TRE). The results supported the existence of an association between EI abilities and coping strategies. The analyses of the interaction effects revealed the moderating role of gender on some of the relationships between EI abilities and coping strategies.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Procesy emocjonalne w schizofrenii
Emotional processing in schizophrenia
Autorzy:
Makowska, Iwona
Rymarczyk, Krystyna
Kłoszewska, Iwona
Tematy:
schizophrenia
emocje
emocje negatywne
emotion
emotion discrimination
identyfikacja zapachów
negative emotion
odour identification
rozróżnianie emocji
schizofrenia
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Wydawca:
Medical Communications
Powiązania:
https://bibliotekanauki.pl/articles/945490.pdf  Link otwiera się w nowym oknie
Opis:
Although emotion processing deficits have been implicated in schizophrenia since its original description, with symptoms including a “flat“ and “inappropriate“ affect, the extent and nature of emotion processing performance in schizophrenia are still unclear. Several studies have demonstrated that patients with schizophrenia have deficits in the processing of emotional facial expressions and these have included patients from a wide variety of cultural backgrounds. The deficits seem to affect mainly the ability to name and discriminate expressions. Furthermore, performance correlates with symptom severity, which indicates that deficits in discriminating emotional aspects of facial expressions have clinical significance. Impairment in the specificity of emotion identification may lead to misunderstanding of social communication and may underlie difficulties in social adjustment experienced by people with schizophrenia. The aim of the paper is a review of current literature about emotional processing in patients with schizophrenia. Studies have examined the perception, experience, and expression of emotion in schizophrenia as well as the relation between performance on emotion and olfactory tasks. Studies on emotion expression repeatedly showed that individuals with schizophrenia display fewer overt expressions than nonpatient comparison subjects in verbal, facial, and acoustic channels. Studies on emotion experience tend to show a higher frequency of negative affect and a higher sensitivity to negative conditions and stress. Deficits in emotion recognition have been clearly identified for all channels studied. Studies on olfaction and emotion in schizophrenia revealed that olfactory and emotion recognition abilities appear significantly linked in schizophrenia.
Takie objawy, jak blady czy nieadekwatny afekt wśród chorych na schizofrenię, były opisywane już w pierwszych doniesieniach na temat tej choroby. Jednak wymiar i natura deficytów emocjonalnych w przebiegu schizofrenii nadal pozostają niewyjaśnione. Przeprowadzone dotąd badania wskazują, że pacjenci ze schizofrenią przejawiają zaburzenia ekspresji emocjonalnych, a deficyt ten dotyczy pacjentów pochodzących z różnych środowisk kulturowych. Zaburzenia percepcji ekspresji emocjonalnych odnoszą się zarówno do umiejętności nazywania, jak i rozróżniania emocji. Co więcej, wykazano, że istnieje związek między nasileniem objawów klinicznych, w szczególności objawów negatywnych, a umiejętnością rozróżniania emocji. Informacje te mogą zatem zostać wykorzystane w celach diagnostycznych. Wydaje się, że specyficzne zaburzenia rozpoznawania emocji, np. z twarzy czy z głosu, przez pacjentów ze schizofrenią mogą być przyczyną trudności w nawiązywaniu i utrzymywaniu relacji społecznych. Celem pracy był przegląd aktualnego piśmiennictwa na temat procesów emocjonalnych u pacjentów chorujących na schizofrenię. Badano percepcję, doświadczanie i wyrażanie emocji wśród pacjentów chorujących na schizofrenię, a także związek między procesami emocjonalnymi a węchowymi. Badania dotyczące ekspresji emocjonalnej wskazują na mniejszą ekspresję werbalną, akustyczną i mimiczną wśród pacjentów w porównaniu z osobami zdrowymi. W zakresie doświadczania emocji pacjenci w omawianej grupie częściej wyrażają negatywne emocje i dotkliwiej przeżywają negatywne warunki i stres. Deficyty w rozpoznawaniu emocji zostały opisane we wszystkich badanych kanałach. Badania w zakresie rozpoznawania emocji i zapachów ujawniają związek między wskazanymi procesami w przebiegu schizofrenii.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The limits of words : expanding a word-based emotion analysis system with multiple emotion dictionaries and the automatic extraction of emotive expressions
Autorzy:
Ptaszynski, Michal
Dybała, Paweł
Masui, Fumito
Urabe, Yuki
Rzepka, Rafal
Isomura, Sho
Wang, Lu
Opis:
Wide adoption of social media has caused an explosion of information stored online, with the majority of that information containing subjective, opinionated, and emotional content produced daily by users. The field of emotion analysis has helped effectively process such human emotional expressions expressed in daily social media posts. Unfortunately, one of the greatest limitations of popular word-based emotion analysis systems has been the limited emotion vocabulary. This paper presents an attempt to extensively expand one such word-based emotion analysis system by integrating multiple emotion dictionaries and implementing an automatic extraction mechanism for emotive expressions. We first leverage diverse emotive expression dictionaries to expand the emotion lexicon of the system. To do that, we solve numerous problems with the integration of various dictionaries collected using different standards. We demonstrate the performance improvement of the system with improved accuracy and granularity of emotion classification. Furthermore, our automatic extraction mechanism facilitates the identification of novel emotive expressions in an emotion dataset, thereby enriching the depth and breadth of emotion analysis capabilities. In particular, the automatic extraction method shows promising results for applicability in further expansion of the dictionary base in the future, thus advancing the field of emotion analysis and offering new avenues for research in sentiment analysis, affective computing, and human–computer interaction.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Tytuł:
Speech emotion recognition under white noise
Autorzy:
Huang, C.
Chen, G.
Yu, H.
Bao, Y.
Zhao, L.
Tematy:
speech emotion recognition
speech enhancement
emotion model
Gaussian mixture model
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Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:
https://bibliotekanauki.pl/articles/177301.pdf  Link otwiera się w nowym oknie
Opis:
Speaker‘s emotional states are recognized from speech signal with Additive white Gaussian noise (AWGN). The influence of white noise on a typical emotion recogniztion system is studied. The emotion classifier is implemented with Gaussian mixture model (GMM). A Chinese speech emotion database is used for training and testing, which includes nine emotion classes (e.g. happiness, sadness, anger, surprise, fear, anxiety, hesitation, confidence and neutral state). Two speech enhancement algorithms are introduced for improved emotion classification. In the experiments, the Gaussian mixture model is trained on the clean speech data, while tested under AWGN with various signal to noise ratios (SNRs). The emotion class model and the dimension space model are both adopted for the evaluation of the emotion recognition system. Regarding the emotion class model, the nine emotion classes are classified. Considering the dimension space model, the arousal dimension and the valence dimension are classified into positive regions or negative regions. The experimental results show that the speech enhancement algorithms constantly improve the performance of our emotion recognition system under various SNRs, and the positive emotions are more likely to be miss-classified as negative emotions under white noise environment.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The interrelationship between emotion, cognition, and bilingualism
Autorzy:
Robinson, Crystal J.
Altarriba, Jeanette
Tematy:
emotional language
codeswitching
emotion word processing
bilingualism and emotion
bilingualism
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Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Powiązania:
https://bibliotekanauki.pl/articles/1151755.pdf  Link otwiera się w nowym oknie
Opis:
Research on the representation of emotion in human memory has focused on the ways in which words that label an emotion (e.g., love, joy) or represent emotional components (e.g., death, butterfly) are learned, stored, and retrieved from memory. The current work reviews the ways in which these types of words have been distinguished from concrete and abstract words, the types of methodologies used to distinguish among word groups, and the ways in which these words are automatically processed in the bilingual speaker. While emotion words may be more readily processed and retrieved when they appear in the first language, other word types that are neutral with regards to arousal and valence may be processed similarly across languages. The current work also illustrates the ways in which this knowledge is important in advancing theories of language and cognition, attention, perception, and mental health. Future directions are discussed that elucidate the further applications of these interesting lines of research.
Dostawca treści:
Biblioteka Nauki
Artykuł

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