Anatomy and computational modeling of networks underlying cognitive-emotional interaction

The classical dichotomy between cognition and emotion equated the first with rationality or logic and the second with irrational behaviors. The idea that cognition and emotion are separable, antagonistic forces competing for dominance of mind has been hard to displace despite abundant evidence to the contrary. For instance, it is now known that a pathological absence of emotion leads to profound impairment of decision making. Behavioral observations of this kind are corroborated at the mechanistic level: neuroanatomical studies reveal that brain areas typically described as underlying either cognitive or emotional processes are linked in ways that imply complex interactions that do not resemble a simple mutual antagonism. Instead, physiological studies and network simulations suggest that top-down signals from prefrontal cortex realize "cognitive control" in part by either suppressing or promoting emotional responses controlled by the amygdala, in a way that facilitates adaptation to changing task demands. Behavioral, anatomical, and physiological data suggest that emotion and cognition are equal partners in enabling a continuum or matrix of flexible behaviors that are subserved by multiple brain regions acting in concert. Here we focus on neuroanatomical data that highlight circuitry that structures cognitive-emotional interactions by directly or indirectly linking prefrontal areas with the amygdala. We also present an initial computational circuit model, based on anatomical, physiological, and behavioral data to explicitly frame the learning and performance mechanisms by which cognition and emotion interact to achieve flexible behavior.R01 MH057414 - NIMH NIH HHS; R01 NS024760 - NINDS NIH HH

Can we identify emotion over-regulation in infancy? Associations with avoidant attachment, dyadic emotional interaction and temperament

Emotion over-regulation in infancy has seldom been the focus of empirical research. This study analysed the specificities of overregulation when compared with under-regulation (maladaptive) and adaptive regulation by testing its association with attachment, dyadic emotional interaction, and temperament. The sample consisted of 52 low-risk mother–infant dyads. During a home visit, dyadic emotional interaction was assessed in the daily routines and free play of 10-month-old infants. The infant’s emotion regulation was assessed using the Shape Sorter Task, and a temperament questionnaire was completed by the mother.Attachmentwas assessed at 12 or 16 months using the Strange Situation. As hypothesized, (i) emotion overregulation (versus adaptive regulation) was predicted by a lower quality of dyadic emotional interaction and marginally by avoidant attachment; (ii) over-regulation (versus under-regulation) was predicted by avoidant attachment; and (iii) the predictive role of avoidant attachment was substantiated after controlling for another measure of mother–infant interaction. Contrary to expectations, temperament did not distinguish between emotion regulation styles. The link between over-regulation and lower quality of mother–infant emotional interaction and avoidant attachment was demonstrated. There is empirical support to the claim that it is possible to identify emotion overregulation in infancy and that it is a maladaptive style of emotion regulation.Fundação para a Ciência e a Tecnologia (SFRH/BD/16524/2004/254S)Neofarmacêutic

Informal interaction in construction progress meetings

The small amount of published research into construction project meetings demonstrates some of the principal difficulties of investigating such sensitive business environments. Using the Bales Interaction Process Analysis (IPA) research method, data on group interaction were collected. A project outcome, namely whether the project was within contract budget, was used as a basis of enquiry between interaction patterns. Analysis was concerned with the socio-emotional (relationship building) and the task-based components of communication and the positive and negative socio-emotional interaction characteristics. Socio-emotional interaction was found to be significantly greater in the projects completed within budget. Socio-emotional interaction is used to express feelings in relation to tasks and it serves as the flux that creates and sustains the group’s social framework, which is crucial in a project environment. The data provides an indication of the importance of informal communication in the maintenance of relationships within project meetings

Emotional persistence in online chatting communities

How do users behave in online chatrooms, where they instantaneously read and write posts? We analyzed about 2.5 million posts covering various topics in Internet relay channels, and found that user activity patterns follow known power-law and stretched exponential distributions, indicating that online chat activity is not different from other forms of communication. Analysing the emotional expressions (positive, negative, neutral) of users, we revealed a remarkable persistence both for individual users and channels. I.e. despite their anonymity, users tend to follow social norms in repeated interactions in online chats, which results in a specific emotional "tone" of the channels. We provide an agent-based model of emotional interaction, which recovers qualitatively both the activity patterns in chatrooms and the emotional persistence of users and channels. While our assumptions about agent's emotional expressions are rooted in psychology, the model allows to test different hypothesis regarding their emotional impact in online communication.Comment: 34 pages, 4 main and 12 supplementary figure

A Foundation for Emotional Expressivity

To express emotions to others in mobile text messaging in our view require designs that can both capture some of the ambiguity and subtleness that characterizes emotional interaction and keep the media specific qualities. Through the use of a body movement analysis and a dimensional model of emotion experiences, we arrived at a design for a mobile messaging service, eMoto. The service makes use of the sub-symbolic expressions; colors, shapes and animations, for expressing emotions in an open-ended way. Here we present the design process and a user study of those expressions, where the results show that the use of these sub-symbolic expressions can work as a foundation to use as a creative tool, but still allowing for the communication to be situated. The inspiration taken from body movements proved to be very useful as a design input. It was also reflected in the way our subjects described the expressions

Towards emotional interaction: using movies to automatically learn users’ emotional states

The HCI community is actively seeking novel methodologies to gain insight into the user's experience during interaction with both the application and the content. We propose an emotional recognition engine capable of automatically recognizing a set of human emotional states using psychophysiological measures of the autonomous nervous system, including galvanic skin response, respiration, and heart rate. A novel pattern recognition system, based on discriminant analysis and support vector machine classifiers is trained using movies' scenes selected to induce emotions ranging from the positive to the negative valence dimension, including happiness, anger, disgust, sadness, and fear. In this paper we introduce an emotion recognition system and evaluate its accuracy by presenting the results of an experiment conducted with three physiologic sensors.info:eu-repo/semantics/publishedVersio

Design Research on Robotic Products for School Environments

Advancements in robotic research have led to the design of a number of robotic products that can interact with people. In this research, a school environment was selected for a practical test of robotic products. For this, the robot “Tiro” was built, with the aim of supporting the learning activities of children. The possibility of applying robotic products was then tested through example lessons using Tiro. To do this, the robot design process and user-centred HRI evaluation framework were studied, and observations of robotic products were made via a field study on the basis of these understandings. Three different field studies were conducted, and interactions between children and robotic products were investigated. As a result, it was possible to understand how emotional interaction and verbal interaction affect the development of social relationships. Early results regarding this and coding schemes for video protocol analysis were gained. In this preliminary study, the findings are summarized and several design implications from insight grouping are suggested. These will help robot designers grasp how various factors of robotic products may be adopted in the everyday lives of people. Keywords: Robotic Products Design, HRI Evaluation, User-Centered HRI.</p

Differences on social acceptance of humanoid robots between Japan and the UK

Held at AISB'15 ConventionTo validate a questionnaire for measuring people's acceptance of humanoid robots in cross-cultural research (the Frankenstein Syndrome Questionnaire: FSQ), an online survey was conducted in both the UK and Japan including items on perceptions of the relation to the family and commitment to religions, and negative attitudes toward robots (the NARS). The results suggested that 1) the correlations between the FSQ subscale scores and NARS were sufficient, 2) the UK people felt more negative toward humanoid robots than did the Japanese people, 3) young UK people had more expectation for humanoid robots, 4) relationships between social acceptance of humanoid robots and negative attitudes toward robots in general were different between the nations and generations, and 5) there were no correlations between the FSQ subscale scores, and perception of the relation to the family and commitment to religions.Final Accepted Versio