The goal of this study is to elucidate differences in speakers’ emotional expressions in behavioral and autonomic responses. Verbal and non-verbal emotional behaviors of interlocutors were recorded during two types of dialogs (competitive and cooperative). Autonomic nervous system (ANS) activity (heart rate and skin conductance level) was also recorded as an internal measure of emotional reacti...

This study connected with the aim of relationship between attitudes and social competence in parent-child emotional metacognition. With Cochran formula and Multi-stage cluster random sampling method 250 students were selected as a sample size. Emotional metacognition questionnaires conducted on students and their parents to complete the religious attitudes and social competence. Statistical mod...

The performance of speaker identification is almost perfect in the neutral environment. However, the performance is significantly deteriorated in emotional environments. In this work, three different and separate models have been used, tested and compared to identify speakers in each of the neutral and emotional environments (completely two separate environments). Our emotional environments in ...

Research on the neural systems underlying emotion in animal models over the past two decades has implicated the amygdala in fear and other emotional processes. This work stimulated interest in pursuing the brain mechanisms of emotion in humans. Here, we review research on the role of the amygdala in emotional processes in both animal models and humans. The review is not exhaustive, but it highl...

11-39551.93/049629.96 "Dynamic man-computer interactions as a paradigm in emotion research") granted to S. Kaiser and T. Wehrle.

Two models of brain asymmetry in emotional processing were reviewed: the right hemisphere and the valence hypotheses. The first states a dominant role for the right hemisphere in emotional processing, whereas the second assumes that the left hemisphere is dominant for positive emotions and the right hemisphere for negative ones. Different methods, such as the divided visual field technique, hav...

Embedding a computational model of emotion in virtual agents is beneficial in a variety of domains. These domains include gaming, VR training, HCI and electronic tutors. Although these domains have different motives for embedding such a model, they share the same overall approach. Once the requirements for the agent are clear, first an emotion theory is chosen as basis for the computational mod...