Humility-Based Persuasion: Individual Differences in Elicited Emotions and Politician Evaluation

The notion of humility has been neglected in the field of political communication in favor of the persuasive strength of a dominant leader. Humility is defined here as an interpersonal and epistemic stance aimed, on one side, at involving the interlocutor in an empathic and horizontal relation, and on the other, at admitting possible shortcomings in one’s own knowledge or competence, as inherent in human nature. The present study investigates the effect of humble communication on emotional and evaluative reactions of potential voters by taking into consideration their individual differences in terms of perceived competence (self-esteem), benevolence (moral relevance), and dominance (social dominance orientation). Results reveal that a social dominance is a good predictor of negative emotions and evaluations elicited by a humble politician, whereas self-esteem and moral sensitivity are best predictors of positive emotions and positive evaluations of a humble politician. The results shed light on possible “humble-based interventions” to promote voters’ political empowerment

Directional adposition use in English, Swedish and Finnish

Directional adpositions such as to the left of describe where a Figure is in relation to a Ground. English and Swedish directional adpositions refer to the location of a Figure in relation to a Ground, whether both are static or in motion. In contrast, the Finnish directional adpositions edellä (in front of) and jäljessä (behind) solely describe the location of a moving Figure in relation to a moving Ground (Nikanne, 2003). When using directional adpositions, a frame of reference must be assumed for interpreting the meaning of directional adpositions. For example, the meaning of to the left of in English can be based on a relative (speaker or listener based) reference frame or an intrinsic (object based) reference frame (Levinson, 1996). When a Figure and a Ground are both in motion, it is possible for a Figure to be described as being behind or in front of the Ground, even if neither have intrinsic features. As shown by Walker (in preparation), there are good reasons to assume that in the latter case a motion based reference frame is involved. This means that if Finnish speakers would use edellä (in front of) and jäljessä (behind) more frequently in situations where both the Figure and Ground are in motion, a difference in reference frame use between Finnish on one hand and English and Swedish on the other could be expected. We asked native English, Swedish and Finnish speakers’ to select adpositions from a language specific list to describe the location of a Figure relative to a Ground when both were shown to be moving on a computer screen. We were interested in any differences between Finnish, English and Swedish speakers. All languages showed a predominant use of directional spatial adpositions referring to the lexical concepts TO THE LEFT OF, TO THE RIGHT OF, ABOVE and BELOW. There were no differences between the languages in directional adpositions use or reference frame use, including reference frame use based on motion. We conclude that despite differences in the grammars of the languages involved, and potential differences in reference frame system use, the three languages investigated encode Figure location in relation to Ground location in a similar way when both are in motion. Levinson, S. C. (1996). Frames of reference and Molyneux’s question: Crosslingiuistic evidence. In P. Bloom, M.A. Peterson, L. Nadel & M.F. Garrett (Eds.) Language and Space (pp.109-170). Massachusetts: MIT Press. Nikanne, U. (2003). How Finnish postpositions see the axis system. In E. van der Zee & J. Slack (Eds.), Representing direction in language and space. Oxford, UK: Oxford University Press. Walker, C. (in preparation). Motion encoding in language, the use of spatial locatives in a motion context. Unpublished doctoral dissertation, University of Lincoln, Lincoln. United Kingdo

Predicting continuous conflict perception with Bayesian Gaussian processes

Conflict is one of the most important phenomena of social life, but it is still largely neglected by the computing community. This work proposes an approach that detects common conversational social signals (loudness, overlapping speech, etc.) and predicts the conflict level perceived by human observers in continuous, non-categorical terms. The proposed regression approach is fully Bayesian and it adopts Automatic Relevance Determination to identify the social signals that influence most the outcome of the prediction. The experiments are performed over the SSPNet Conflict Corpus, a publicly available collection of 1430 clips extracted from televised political debates (roughly 12 hours of material for 138 subjects in total). The results show that it is possible to achieve a correlation close to 0.8 between actual and predicted conflict perception

Proceedings

Proceedings of the 3rd Nordic Symposium on Multimodal Communication. Editors: Patrizia Paggio, Elisabeth Ahlsén, Jens Allwood, Kristiina Jokinen, Costanza Navarretta. NEALT Proceedings Series, Vol. 15 (2011), vi+87 pp. © 2011 The editors and contributors. Published by Northern European Association for Language Technology (NEALT) http://omilia.uio.no/nealt . Electronically published at Tartu University Library (Estonia) http://hdl.handle.net/10062/22532

Robust Modeling of Epistemic Mental States

This work identifies and advances some research challenges in the analysis of facial features and their temporal dynamics with epistemic mental states in dyadic conversations. Epistemic states are: Agreement, Concentration, Thoughtful, Certain, and Interest. In this paper, we perform a number of statistical analyses and simulations to identify the relationship between facial features and epistemic states. Non-linear relations are found to be more prevalent, while temporal features derived from original facial features have demonstrated a strong correlation with intensity changes. Then, we propose a novel prediction framework that takes facial features and their nonlinear relation scores as input and predict different epistemic states in videos. The prediction of epistemic states is boosted when the classification of emotion changing regions such as rising, falling, or steady-state are incorporated with the temporal features. The proposed predictive models can predict the epistemic states with significantly improved accuracy: correlation coefficient (CoERR) for Agreement is 0.827, for Concentration 0.901, for Thoughtful 0.794, for Certain 0.854, and for Interest 0.913.Comment: Accepted for Publication in Multimedia Tools and Application, Special Issue: Socio-Affective Technologie

The discursive construction of responsibility : strategies used by political and military witnesses in public hearings

From the perspective of current situated discourse analysis and the associated disciplinary strands of conversational analysis, narrative studies and critical discourse analysis, this study examines how political and military elite witnesses construct versions of reality in the context of the public hearing and argues for the contestable nature of such versions. This study draws upon a multimodal approach which views discourse as an inherently complex process and product involving various semiotic layers, particularly, language and gesture which are intricately interwoven. The examination of the data reveals the systematic and strategic concurrence of resources of various kinds. It is shown how carefully elaborated texts are constituted through the use of evasion strategies (refusal to answer, reformulation and impersonalization), sensemaking practices and argumentative moves (scrip-formulation, counterfactual account, recourse to the lesson-deriving frame), and choreographed non-verbal resources (bodily orientation, facial expression and gesture); and how through these resources participants manage to deflect damaging attributions of personal and institutional responsibility and blame. An exploration of conversational dynamics shows that elite witnesses are often allowed to disregard the responsibilities and obligations defined by their situational roles as interrogators fail to gain, exert and maintain interactional control. It is possible to suggest hence that these witnesses benefit from some special licences which ultimately permit them to shape content, form and information flow. This study concludes by tapping into the dialectical link between discourse and society unveiling the particular ways in which strategic public discourse represents an instrument of social manipulation and hegemonic control which, far from generating genuine public dialogue, works to manufacture a false sense of debate as well as an equally false sense of consensus and resolution

A Survey of Available Corpora For Building Data-Driven Dialogue Systems: The Journal Version

During the past decade, several areas of speech and language understanding have witnessed substantial breakthroughs from the use of data-driven models. In the area of dialogue systems, the trend is less obvious, and most practical systems are still built through significant engineering and expert knowledge. Nevertheless, several recent results suggest that data-driven approaches are feasible and quite promising. To facilitate research in this area, we have carried out a wide survey of publicly available datasets suitable for data-driven learning of dialogue systems. We discuss important characteristics of these datasets, how they can be used to learn diverse dialogue strategies, and their other potential uses. We also examine methods for transfer learning between datasets and the use of external knowledge. Finally, we discuss appropriate choice of evaluation metrics for the learning objective