Связь между эмоциональными личностными чертами наблюдателя и сензитивностью к эмоциям определенной модальности
The article reveals the genesis of the concept of «individuality». Also provides a description of the essential qualities, given their correlation with the personal qualities of the Big Five. We introduce three methodological principle of personality description, an example of identity based on the basic qualities.
In this paper we consider the automatic emotions recognition problem, especially the case of digital audio signal processing. We consider and verify an approach in which the classification of a sound fragment is reduced to the problem of image recognition. The waveform and spectrogram are used as a visual representation of the image. The computational experiment was done based on Radvess open dataset including 8 different emotions: "neutral", "calm", "happy," "sad," "angry," "scared", "disgust", "surprised". The best accuracy result was 64%, which was produced by a combination of “|spectrogram + convolution neural network VGG-11”
Using data from Italy, Spain, and Germany (N = 1,569), this study investigated the role of basic values (universalism and security) and basic traits (openness and agreeableness) in predicting perceptions of the consequences of immigration. In line with Schwartz’s (1992) theory, we conceptualized security as having two distinct components, one concerned with safety of the self (personal security) and the other with harmony and stability of larger groups and of society (group security). Structural equation modeling revealed that universalism values underlie perceptions that immigration has positive consequences and group security values underlie perceptions that it has negative consequences. Personal security makes no unique, additional contribution. Multi-group analyses revealed that these associations are invariant across the three countries except for a stronger link between universalism and perceptions of the consequences of immigration in Spain. To examine whether values mediate relations of traits to perceptions of immigration, we used the Five Factor Model. Findings supported a full mediation model. Individuals’ traits of openness and agreeableness explained significant variance in security and universalism values. Basic values, in turn, explained perceptions of the consequences of immigration.
The article reveals the findings of the experimental work that has been done in order to compare three Russian educational systems (traditional system, Zankov’s system and the system of Elkonin- Davidov) in their potentials to develop the junior schoolchild intellectual abilities and personality traits. The complex of indices (intellectual abilities and personality traits) has been identified to examine the educational systems. They are the indices of attention, memory, thinking, imagination and personality traits (achievement motive, learning motives and empathy). As a result of conducted experiment of the students’ development in different educational systems it has been identified that each of examined systems are ‘developmental’ however each develops different mental functions and operations.
In this paper we consider the automatic emotions recognition problem, especially the case of digital audio signal processing. We consider and verify an straight forward approach in which the classification of a sound fragment is reduced to the problem of image recognition. The waveform and spectrogram are used as a visual representation of the image. The computational experiment was done based on Radvess open dataset including 8 different emotions: “neutral”, “calm”, “happy,” “sad,” “angry,” “scared”, “disgust”, “surprised”. Our best accuracy result 71% was produced by combination “melspectrogram + convolution neural network VGG-16”.