A Cognitive Science Reasoning in Recognition of Emotions in Audio-Visual Speech

In this report we summarize the state-of-the-art of speech emotion recognition from the signal processing point of view. On the bases of multi-corporal experiments with machine-learning classifiers, the observation is made that existing approaches for supervised machine learning lead to database dependent classifiers which can not be applied for multi-language speech emotion recognition without additional training because they discriminate the emotion classes following the used training language. As there are experimental results showing that Humans can perform language independent categorisation, we made a parallel between machine recognition and the cognitive process and tried to discover the sources of these divergent results. The analysis suggests that the main difference is that the speech perception allows extraction of language independent features although language dependent features are incorporated in all levels of the speech signal and play as a strong discriminative function in human perception. Based on several results in related domains, we have suggested that in addition, the cognitive process of emotion-recognition is based on categorisation, assisted by some hierarchical structure of the emotional categories, existing in the cognitive space of all humans. We propose a strategy for developing language independent machine emotion recognition, related to the identification of language independent speech features and the use of additional information from visual (expression) features.

Connecting a sociology of childhood perspective with the study of child health, illness and wellbeing:introduction

In the last decades we have seen a growing interest in research into children's own experiences and understandings of health and illness. This development, we would argue, is much stimulated by the sociology of childhood which has drawn our attention to how children as a social group are placed and perceived within the structure of society, and within inter-generational relations, as well as how children are social agents and co-constructors of their social world. Drawing on this tradition, we here address some cross-cutting themes that we think are important to further the study of child health: situating children within health policy, drawing attention to practices around children's health and well-being and a focus on children as health actors. The paper contributes to a critical analysis of child health policy and notions of child health and normality, pointing to theoretical and empirical research potential for the sociology of children's health and illness.

Connecting a sociology of childhood perspective with the study of child health, illness and wellbeing:introduction

This chapter focuses on concepts and theoretical points of departure found in child health and wellbeing studies. Firstly, seeing children as a social group draws attention to the ways this group is placed and perceived in the structures of societies. Children as a social group need to be understood in relation to other social groups. Secondly, understanding children as social agents and as co-constructors of their social worlds is fundamental to studying their experiences and ways of dealing with health and wellbeing in everyday life. Thirdly, in recent years, there has been a turn towards seeing children as beings. The chapter discusses the child health issues and concerns in contemporary society. Children are diagnosed with an increasing range of conditions and are subject to more and more elaborate child health and welfare interventions, reflecting a medical perspective on the changing panorama of illness and health risks in the 21st century.

The sociology of late secularization : social divisions and religiosity

Peer reviewed

Risk Preferences and the Role of Emotions

There is a large volume of research showing that emotions have relevant effects on decision-making. We contribute to this literature by experimentally investigating the impact of four specific emotional states - joviality, sadness, fear, and anger - on risk attitudes. In order to do so, we fit two models of behavior under risk: the Expected Utility model (EU) and the Rank Dependent Expected Utility model (RDEU), assuming several functional forms of the weighting function. Our results indicate that all emotional states mitigate risk aversion. Furthermore, we show that there are some differences across gender and participants' experience in laboratory experiments.

Ecuadorian migration and family strategies of social mobility: dialectic relation between emotional and financial capital

This text deals with transnational strategies of social mobility in Ecuadorian migrant households in Spain. We apply the capital accumulation model (Moser, 2009) for this purpose. The main target of this article is, beyond thinking in terms of capital stock and accumulation, the analysis in depth of the dynamics of the different types of capital, that is to say, how they interact with each other in the framework of the social mobility strategies of the migrants and their families. We are bringing into light the way some households adopt investing decisions in capitals that don't translate into any addition or earnings in all cases, on the contrary, concentrating all their efforts on the accumulation of a certain asset they may, in some cases, lead to a loss of another. We will concentrate our analysis primarily on the dynamics between the physical and financial capital and the social and emotional capital, showing the tensions produced between these two types of assets. At the same time, we will highlight how migrants negotiate their family strategies of social mobility in the transnational area. Our study is based in empirical material obtained from qualitative fieldwork (in-depth interviews) with families of migrants in the urban district of Turubamba Bajo -(south of Quito) and in Madrid. A series of households were selected where interviews were carried out in the country of origin as well as in the context of immigration, with different family members, analysing the transnational social and economic strategies of families of migrant members. Family members of migrants established in Spain were interviewed in Quito, as well as key informants in the district (school teachers, nursery members of the staff, etc.). The research was framed within the projects "Impact of migration on the development: gender and transnationalism", Ministry of Science and Innovation (SEJ2007/63179) (Laura Oso, dir. 2007-2010),"Gender, transnationalism and intergenerational strategies of social mobility", Ministry of Economy and Competitiveness (FEM2011/26210) (Laura Oso, dir. 201-1-2015) and “Gender, Crossed Mobilities and Transnational Dynamics”, Ministry of Economy and Competitiveness (FEM2015-67164).

Looking for Determinants of Ontological Security in the Spain of the Crisis

The concept of ontological security has a remarkable echo in the current sociology to describe emotional status of men of late modernity. However, the concept created by Giddens in the eighties has been little used in empirical research covering various sources of risk or uncertainty. In this paper, a scale for ontological security is proposed. To do this, we start from the results of a research focused on the relationship between risk, uncertainty and vulnerability in the context of the economic crisis in Spain. These results were produced through nine focus groups and a telephone survey with standardized questionnaire applied to a national sample of 2,408 individuals over 18 years. This work is divided into three main sections. In the fi rst, a scale has been built from the results of the application of different items present in the questionnaire used. The second part explores the relationships of the scale obtained with the variables further approximate the emotional dimensions of individuals. The third part observes the variables that contribute to changes in the scale: These variables show the structural feature of the ontological security.

The Moderating Effects of Emotions on Cognitive Skills

An important challenge in higher education today is the growing tutor -student ratio that diminishes the ‘human touch’. As learning and teaching is ultimately an interpersonal process, this will lead to student discontent and impact on the ir learning. Whilst there is little that teaching practitioners can do in terms of the growing student numbers they have to tutor , they may however influence student learning by enhancing their positive emotions. This study examines the importance of emotion s in improving cognitive skills and how it interacts with knowledge and reflection. This research contributes to theory by examining the role of emotions as a moderating factor in the lear ning process. Our findings reveal that emotions moderate the direct relationship between knowledge and cognitive skills , and the indirect relationship between knowledge and cognitive skills via reflection. The findings demonstrate the critical role that emotions play in student learning. Implications for theory and practice are discussed.

The role of emotions in value creation for families in pediatric health care

The purpose of this study was to analyze emotions related to a child’s critical illness from the perspective of the family and discuss the link those emotions might form with value creation. High quality service is of paramount importance in hospital care, especially when a child is diagnosed with critical illness. Through the analysis of patient family emotions and their triggers, the study was aiming to deepen the understanding of value creation for customer. Therefore, the research sought to find answers to the following three sub-questions: 1. What are the emotions experienced? 2. What triggers them? 3. How are the emotions linked to amelioration or aggravation of value for patient and family? The theoretical background of this research is built on two core concepts: emotions and value creation. As both concepts are wide and multifaceted, the research concentrates on viewing emotions from the applicable cognitive angle, identifying and categorizing emotions in a general level. Value creation is studied from the service perspective, discussing the possible relations between emotions and value creation. Moreover, the suitability of views regarding customer value co-creation to health care encounters is analyzed. Qualitative approach was selected as the most appropriate methodology for conducting the empirical research. The empirical data was collected from public blogs, for which a total of 18 blogs were reviewed. Five blogs were selected for the analysis, which had the intent of identifying the emotions experienced by patient families and deepening the knowledge of their role in value creation during health care service encounters. The empirical study of this research discovered a wide range of positive and negative emotions, which denotes that a severe life situation does not prevent the feeling of positive emotions. Furthermore, by combining the empirical findings to the theoretical background, this study concludes that recognizing and treating the patient family as a partner and value creator is essential. The high quality technical aspect of care is vital, but it is not the sole attribute for service quality, as the interpersonal communication plays a large role in the customer’s overall assessment of the health care performance. The patients and their families largely evaluate the service encounter based on their perceptions, thus emotions play a significant role. Depending on the service experience, value maybe created or destructed. Hence, this study posits emotion at the core of the service encounter, indicating towards the importance of active assessment of customer perceptions and the recognition of the emotional states

An automatic classifier of emotions built from entropy of noise

The electrocardiogram (ECG) signal has been widely used to study the physiological substrates of emotion. However, searching for better filtering techniques in order to obtain a signal with better quality and with the maximum relevant information remains an important issue for researchers in this field. Signal processing is largely performed for ECG analysis and interpretation, but this process can be susceptible to error in the delineation phase. In addition, it can lead to the loss of important information that is usually considered as noise and, consequently, discarded from the analysis. The goal of this study was to evaluate if the ECG noise allows for the classification of emotions, while using its entropy as an input in a decision tree classifier. We collected the ECG signal from 25 healthy participants while they were presented with videos eliciting negative (fear and disgust) and neutral emotions. The results indicated that the neutral condition showed a perfect identification (100%), whereas the classification of negative emotions indicated good identification performances (60% of sensitivity and 80% of specificity). These results suggest that the entropy of noise contains relevant information that can be useful to improve the analysis of the physiological correlates of emotion.

The influence of emotions, attitudes and perceptions on learning with technology

Welcome to this very international issue of Research in Learning Technology in which we present research that has been undertaken in UK, Chile, Finland, Germany, Portugal and USA. The articles on the use of technology span a range of effective teaching practices, showcase strategies for successful learning and propose ideas for future mechanisms to better engage students in their educational experiences. For me, one question running through this issue is: how is technology helping us to deliver more student-centred education?

Circumplex Model to analyze the impact of emotions on decision-making processes in innovation management

Group work allows participants to pool their thoughts and examine difficulties from several angles. In these settings, it is possible to attempt things that an individual could not achieve, combining a variety of abilities and knowledge to tackle more complicated and large-scale challenges. That’s why nowadays collaborative work is becoming more and more widespread to solve complex innovation dilemmas. Since innovation isn’t a tangible thing, most innovation teams used to take decisions based on performance KPIs such as forecasted engagement, projected profitability, investments required, cultural impacts etc. Have you ever wondered the reason why sometimes innovation group processes come out with decisions which are not the optimal meeting point of all the KPIs? Has this decision been influenced by other factors? Some researchers account part of this phenomenon to the emotions in group-based interaction between participants. I will develop a literature review that is split into three parts: first, I will consider some emotions theories from an individual perspective; secondly, a wider view of collective interactions theories will be provided; lastly, I will supply some recent collective interaction empirical studies. After the theoretical and empirical gaps have been tackled, the study will additionally move forward with a methodological point of view, about the Circumplex Model, which is the model I used to evaluate emotions in my research. This model has been applied to SUGAR project, which is the biggest design thinking academy worldwide.

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