(Im)politeness and emotion

This chapter explores the interconnectedness of emotions with (im)politeness from a theoretical and methodological perspective. We argue that all interaction contain emotional, relational and socio-normative elements. We witness the negotiation of rights and obligations of interactants and how (not) complying with expectations about rights, or fulfilling rights will trigger negative and positive emotions that influence the continuation of the exchange. Knowledge of sociality and the connected socio-cultural norms shape interactions and relationships. We provide a schematic overview of systemic components involved in the study of emotion and outline the position of interpersonal pragmatics relative to it. On the basis of this general overview, we then review contributions within the (im)politeness literature that have worked on emotions. Since this discussion does not present a unified picture, we will use this literature review as a springboard to elaborate on three concerns that the research raises: Cognition and emotions, sociality and emotions and the communicative observables of emotions. How these fundamental links between emotion and interpersonal pragmatics pan out is illustrated by drawing on examples of interaction

Empirische Forschung in der Deutschdidaktik. Band 3: Forschungsfelder

Wie und woran wird in der Deutschdidaktik geforscht? Insbesondere Novizen fällt der Überblick über die Disziplin noch schwer. Der vorliegende Band bietet in 19 Beiträgen einen einsteigerfreundlichen Einblick in die verschiedenen Forschungsfelder der Deutschdidaktik und ihre empirische Fachkultur. Hierbei werden historische Entwicklungen und aktuelle Forschungstendenzen betrachtet, Beispiele vorgestellt, Desiderate benannt und Literaturempfehlungen gegeben. Ein Grundlagenwerk für Studierende und Promovierende

Ways of communicating emotional stance in online disagreements

Online disagreements constitute a particularly interesting and relevant testing ground to explore different ways of communicating emotional stance (Mateosian, 2005). Our qualitative and quantitative analysis of 120 English postings from the MailOnline has revealed the notable presence of emotional stance through conceptual implication, explicit expression, and emotional description. While this quantitative survey can neither be regarded as comprehensive nor conclusive, we consider it as a first step towards detecting and categorizing different ways of expressing emotion in online and offline linguistic data. We suggest that a quantitative survey is complemented with a qualitative discussion to account for the complex and dynamic interaction between conceptual, relational and affective meaning. This speaks for a discursive approach for studying emotional stance in conflict and disagreements

The role of emotions in relational work

While the role of emotions for communication has been recognized as important in numerous research disciplines, insights have rarely been exploited for linguistic research, nor have they been incorporated systematically in the traditional theories on relational work. This paper offers a literature review on emotion research for linguists and then focuses in particular on the creation of relational meaning within interpersonal pragmatics. Since emotional display is often signalled in gestures or facial expressions in addition to or in complement to linguistic evidence, we propose taking a multi-modal approach to the study of relationship construction. For this purpose we combine Clark’s (1996) work on the creation of meaning with a multi-modal tool-kit for analysis. The paper ends with an assessment on how this inclusion of emotional cues in our analysis of relational work improves our understanding of interpersonal pragmatics

Wohin steuert die historische Sprachwissenschaft?

Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich. - This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively

Attribution, Komplexität, Komplikation

Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich. - This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively

The role of emotions in a discursive approach to relational work.

Anomaly detection refers to the task of finding unusual instances that stand out from the normal data. In several applications, these outliers or anomalous instances are of greater interest compared to the normal ones. Specifically in the case of industrial optical inspection and infrastructure asset management, finding these defects (anomalous regions) is of extreme importance. Traditionally and even today this process has been carried out manually. Humans rely on the saliency of the defects in comparison to the normal texture to detect the defects. However, manual inspection is slow, tedious, subjective and susceptible to human biases. Therefore, the automation of defect detection is desirable. But for defect detection lack of availability of a large number of anomalous instances and labelled data is a problem. In this paper, we present a convolutional auto-encoder architecture for anomaly detection that is trained only on the defect-free (normal) instances. For the test images, residual masks that are obtained by subtracting the original image from the auto-encoder output are thresholded to obtain the defect segmentation masks. The approach was tested on two data-sets and achieved an impressive average F1 score of 0.885. The network learnt to detect the actual shape of the defects even though no defected images were used during the training