Recognizing Emotions in a Foreign Language

Expressions of basic emotions (joy, sadness, anger, fear, disgust) can be recognized pan-culturally from the face and it is assumed that these emotions can be recognized from a speaker's voice, regardless of an individual's culture or linguistic ability. Here, we compared how monolingual speakers of Argentine Spanish recognize basic emotions from pseudo-utterances ("nonsense speech") produced in their native language and in three foreign languages (English, German, Arabic). Results indicated that vocal expressions of basic emotions could be decoded in each language condition at accuracy levels exceeding chance, although Spanish listeners performed significantly better overall in their native language ("in-group advantage"). Our findings argue that the ability to understand vocally-expressed emotions in speech is partly independent of linguistic ability and involves universal principles, although this ability is also shaped by linguistic and cultural variables

Are Emotions Psychological Constructions?

According to psychological constructivism, emotions result from projecting folk emotion concepts onto felt affective episodes (e.g., Barrett 2017, LeDoux 2015). Moreover, while constructivists acknowledge there’s a biological dimension to emotion, they deny that emotions are (or involve) affect programs. So they also deny that emotions are natural kinds. However, the essential role constructivism gives to felt experience and folk concepts leads to an account that’s extensionally inadequate and functionally inaccurate. Moreover, biologically-oriented proposals that reject these commitments are not similarly encumbered. Recognizing this has two implications: biological mechanisms are more central to emotion than constructivism allows, and the conclusion that emotions aren’t natural kinds is premature

Emotion, engineering and ethics

Adopting Martha Nussbaum's view provides grounds for recognizing those bursts of anger or delight and the responses to them that alter the course of development of engineering projects. Her case supports the view that our emotions offer authentic thoughts about authentic situations, and by ignoring emotions engineering judgments are liable to be deficient. At worst, without reflection an emotion hides an influential unarticulated and mistaken belief. But at best an emotion can be taken to be an indicator of relevant components of ethical arguments supporting an engineering project and the significance attributed to them. So we might expect virtuous engineers to be aware of their emotions, of ways in which they exploit the emotions of others, to reflect on those emotions and to use the knowledge gained in their judgments. To be effective within this emotional soup they will have to be self-aware, articulate,persuasive and above all empathetic

Associations between Feeling and Judging the Emotions of Happiness and Fear: Findings from a Large-Scale Field Experiment

Background: How do we recognize emotions from other people? One possibility is that our own emotional experiences guide us in the online recognition of emotion in others. A distinct but related possibility is that emotion experience helps us to learn how to recognize emotions in childhood. Methodology/Principal Findings: We explored these ideas in a large sample of people (N = 4,608) ranging from 5 to over 50 years old. Participants were asked to rate the intensity of emotional experience in their own lives, as well as to perform a task of facial emotion recognition. Those who reported more intense experience of fear and happiness were significantly more accurate (closer to prototypical) in recognizing facial expressions of fear and happiness, respectively, and intense experience of fear was associated also with more accurate recognition of surprised and happy facial expressions. The associations held across all age groups. Conclusions: These results suggest that the intensity of one's own emotional experience of fear and happiness correlates with the ability to recognize these emotions in others, and demonstrate such an association as early as age 5

Gambaran Kecerdasan Emosional Dan Prestasi Belajar Pada Siswa Negeri XI Manado

: Emotional intelligenceis the ability to recognize one\u27s own emotions, managing emotions themselves, motivating one self, recognizing emotions in others, managing emotions in others and motivate others. While learning achievementis the resultof a study of learning activities based on the measurement and assessment of learning outcome sin academic areas are embodied in the form of number sin there port card. When students have high emotional intelligence, it will improve learning achievement. Susceptible adolescents aged 11-16 years with astudent status, emotional intelligence is the ability to regulate one\u27s emotional life with intelligence. The research objective was to determine the level of the general purpose of emotional intelligenceand learning achievementin students, a special purpose to know the descriptionof emotional intelligence that is about recognizing your own emotions, managing emotions yourself, motivate yourself and recognize other people\u27s emotions, managing emotions in others, as well as motivating others, and learning achievement at the student has with an average value of report cards. The study population was Manado XI Junior High School student sin 2011/2012. Data collection procedures using a questionnaire. The data presented in tabular form as well as analysis of the frequency distribution of cross presentation use. Conclusion: The study found that emotional intelligence is and average student achievements were

Ubiquitous Emotion Analytics and How We Feel Today

Emotions are complicated. Humans feel deeply, and it can be hard to bring clarity to those depths, to communicate about feelings, or to understand others’ emotional states. Indeed, this emotional confusion is one of the biggest challenges of deciphering our humanity. However, a kind of hope might be on the horizon, in the form of emotion analytics: computerized tools for recognizing and responding to emotion. This analysis explores how emotion analytics may reflect the current status of humans’ regard for emotion. Emotion need no longer be a human sense of vague, indefinable feelings; instead, emotion is in the process of becoming a legible, standardized commodity that can be sold, managed, and altered to suit the needs of those in power. Emotional autonomy and authority can be surrendered to those technologies in exchange for perceived self-determination. Emotion analytics promises a new orderliness to the messiness of human emotions, suggesting that our current state of emotional uncertainty is inadequate and intolerable

Feature extraction of speech signal and heartbeat detection in angry emotion identification

Angry is one of emotions that play an essential role in decision making, perception, learning and more. This paper detects the angry emotion by analyzing and recognizing angry speech signal as well as detecting the heartbeat condition. The speech database was uttered by various speakers in different gender and emotions. For the analyzing experiment, several digital signal processing methods such as autocorrelation and linear predication technique was introduced to analyze the features. Then, Artificial Neural Network (ANN) was used to classify each parameter features such as mean fundamental frequency, maximum fundamental frequency, standard deviation fundamental frequency, mean amplitude, pause length ratio and first formant frequency to recognize the emotion. Meanwhile, a heartbeat monitoring circuit was developed to measure the heartbeat. The accuracy of the result has achieved over than 80 percent during emotional recognition test. This method can be used further to recognize angry emotion of patient during counseling session