Detecting emotional stress from facial expressions for driving safety

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The research community of dialog generation has been interested in incorporating emotional information into the design of open-domain dialog systems ever since neural networks (sequence-to-sequence models in particular) were adopted for modeling dialogs. T ...

The Component Process Model is a well-established framework describing an emotion as a dynamic process with five highly interrelated components: cognitive appraisal, expression, motivation, physiology and feeling. Yet, few empirical studies have systematic ...

Emotions are rich and complex experiences involving various behavioral and physiological responses. While many empirical studies have focused on discrete and dimensional representations of emotions, these representations do not fully reconcile with recent ...

Although engineering education is often characterized as a rational activity, research suggests that emotions are vital for learning at all levels of education. In ethics education, there is evidence that including mild emotional information in case studie ...

Recent developments in speech emotion recognition (SER) often leverage deep neural networks (DNNs). Comparing and benchmarking different DNN models can often be tedious due to the use of different datasets and evaluation protocols. To facilitate the proces ...

Towards the end of the second trimester of gestation, a human fetus is able to register environmental sounds. This in utero auditory experience is characterized by comprising strongly low-pass-filtered versions of sounds from the external world. Here, we p ...

The learning process depends on the nature of the learning environment, particularly in the case of open-ended learning environments, where the learning process is considered to be non-linear. In this paper, we report on the findings of employing a multimo ...

Individuals frequently differ in their behavioral and cognitive responses to stress. However, whether motivation is differently affected by acute stress in different individuals remains to be established. By exploiting natural variation in trait anxiety in ...

Although theories of emotion associate negative emotional symptoms with cognitive biases in information processing, they rarely specify the details. Here, we characterize cognitive biases in information processing of pleasant and unpleasant information, an ...

Background: 22q11.2 deletion syndrome (22q11DS) is a neurogenetic condition associated to a high risk for psychiatric disorders, including psychosis. Individuals with 22q11DS are thought to experience increased levels of chronic stress, which could lead to ...

Recently, a new thermally activated distortion with amplification (TADA) effect has been reported in red gold alloys caused by the A1 -> L1(0) phase transformation. The macroscopic amplification is due to the persistence of variant selection nucleated unde ...

Detecting emotional stress from facial expressions for driving safety

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Towards Empathetic Open-Domain Chatbots

Emotion Recognition in a Multi-Componential Framework: The Role of Physiology

Emotion Recognition in a Multi-Componential Framework: The Role of Physiology

Emotional empathy and engineering students’moral reasoning

Serab: A Multi-Lingual Benchmark For Speech Emotion Recognition

Prenatal auditory experience and its sequelae

Temporal Pathways to Learning: How Learning Emerges in an Open-ended Collaborative Activity

Opposite effects of stress on effortful motivation in high and low anxiety are mediated by CRHR1 in the VTA

Information Processing Biases: The Effects of Negative Emotional Symptoms on Sampling Pleasant and Unpleasant Information

Exploring associations between diurnal cortisol, stress, coping and psychopathology in adolescents and young adults with 22q11.2 deletion syndrome

Persistence of variant selection in red gold alloys