AVEC 2011–The First International Audio/Visual Emotion Challenge

The Audio/Visual Emotion Challenge and Workshop (AVEC 2011) is the first competition event aimed at comparison of multimedia processing and machine learning methods for automatic audio, visual and audiovisual emotion analysis, with all participants competing under strictly the same conditions. This paper first describes the challenge participation conditions. Next follows the data used – the SEMAINE corpus – and its partitioning into train, development, and test partitions for the challenge with labelling in four dimensions, namely activity, expectation, power, and valence. Further, audio and video baseline features are introduced as well as baseline results that use these features for the three sub-challenges of audio, video, and audiovisual emotion recognition.

The Ontology of Thisness

The paper seeks to give an account of what it is for an individual to instantiate thisness, and how an individual and its thisness are related (where the thisness of an individual x is the property of being identical to x). Such an account is completely lacking in the literature, even among those who defend and make use of thisness. My approach is to seek out a model for the instantiation of thisness by canvassing realist accounts of the substance/attribute relation , and then make appropriate modifications to the most likely candidate in order to accommodate an individual's instantiation of thisness (the accounts cannot be strictly identical for reasons that I explain). I go on to suggest that the model can be appropriately applied in the case of other individuals which might instantiate thisness: for example, persons and events (where these are conceived as fundamental categories of ontology distinct from material substances).

Aesthetics and emotion in an organisational ethnography

In this paper, I argue that an aesthetic approach can help us to better understand workplace ethnography. Ethnography is sensory by nature; it can incorporate a feeling of rightness and beauty in the experience of 'being-with' the organisation being studied. The process is inherently aesthetic. I explore this argument with an in-depth account of a researcher's experiences at a non-profit organisation. I identify the aesthetic of belonging that developed over time. This study shows how an aesthetic perspective helps us to understand the day to day experience of ethnography, and how the it can be emotionally ambivalent and somewhat dark. © 2008, Inderscience Publishers.

The Protective Role of Group Identity: Sectarian Antisocial Behavior and Adolescent Emotion Problems

The protective role of strength of group identity was examined for youth in a context of protracted political conflict. Participants included 814 adolescents (M_age = 13.61, SD = 1.99 at Time 1) participating in a longitudinal study in Belfast, Northern Ireland. Utilizing hierarchical linear modeling, the results show that the effect of exposure to sectarian antisocial behaviors has a stronger effect on youth emotion problems for older adolescents. The results also show that youth with higher strength of group identity reported fewer emotion problems in the face of sectarian antisocial behavior but that this buffering effect is stronger for Protestants compared to Catholics. Implications are discussed for understanding the role of social identity in postaccord societies.

Modeling continuous self-report measures of perceived emotion using generalized additive mixed models

Emotion research has long been dominated by the “standard method” of displaying posed or acted static images of facial expressions of emotion. While this method has been useful it is unable to investigate the dynamic nature of emotion expression. Although continuous self-report traces have enabled the measurement of dynamic expressions of emotion, a consensus has not been reached on the correct statistical techniques that permit inferences to be made with such measures. We propose Generalized Additive Models and Generalized Additive Mixed Models as techniques that can account for the dynamic nature of such continuous measures. These models allow us to hold constant shared components of responses that are due to perceived emotion across time, while enabling inference concerning linear differences between groups. The mixed model GAMM approach is preferred as it can account for autocorrelation in time series data and allows emotion decoding participants to be modelled as random effects. To increase confidence in linear differences we assess the methods that address interactions between categorical variables and dynamic changes over time. In addition we provide comments on the use of Generalized Additive Models to assess the effect size of shared perceived emotion and discuss sample sizes. Finally we address additional uses, the inference of feature detection, continuous variable interactions, and measurement of ambiguity.

Demos and Denomination::flags, fealty, and the political ontology of protests in Northern Ireland

This paper will examine some of the ways in which processes of denomination
have shaped Northern Irish politics before and after the ‘Belfast’, or ‘Good Friday
Agreement’ of 1998. We concentrate on the formation of the ‘Unionist’ or ‘Loyalist
community’, principally because the flag protests of 2012-2013 have brought the
issue of this community identity to the fore again. The flag is part of a whole
machinery of what we, in this paper, will call ‘denomination’ in Northern Irish
politics and elsewhere. The religious overtones of the term are neither accidental
nor incidental. Acts of denomination posit (assertively, authoritatively) a
collective identity, conceived and constituted ontologically, as an existent entity,
and stake a claim to a whole territory.

Work-worlds colliding: Self-reflexivity, power and emotion in organizational ethnography

While organizational ethnographers have embraced the concept of self-reflexivity, problems remain. In this article we argue that the prevalent assumption that self-reflexivity is the sole responsibility of the individual researcher limits its scope for understanding organizations. To address this, we propose an innovative method of collective reflection that is inspired by ideas from cultural and feminist anthropology. The value of this method is illustrated through an analysis of two ethnographic case studies, involving a ‘pair interview’ method. This collective approach surfaced self-reflexive accounts, in which aspects of the research encounter that still tend to be downplayed within organizational ethnographies, including emotion, intersubjectivity and the operation of power dynamics, were allowed to emerge. The approach also facilitated a second contribution through the conceptualization of organizational ethnography as a unique endeavour that represents a collision between one ‘world of work’: the university, with a second: the researched organization. We find that this ‘collision’ exacerbates the emotionality of ethnographic research, highlighting the refusal of ‘researched’ organizations to be domesticated by the specific norms of academia. Our article concludes by drawing out implications for the practice of self-reflexivity within organizational ethnography.

Behavioral Model Generation from Use Cases Based on Ontology Mapping and GRASP Patterns

This paper contributes a new approach for developing UML software designs from Natural Language (NL), making use of a meta-domain oriented ontology, well established software design principles and Natural Language Processing (NLP) tools. In the approach described here, banks of grammatical rules are used to assign event flows from essential use cases. A domain specific ontology is also constructed, permitting semantic mapping between the NL input and the modeled domain. Rules based on the widely-used General Responsibility Assignment Software Principles (GRASP) are then applied to derive behavioral models.