London 2012 and Climate Change. Examining the potential impact of the current economic crisis in the environmental legacy of the Games

The International Olympic Committee (IOC) declares environmental protection to be the third dimension of the Olympic movement. That, in effect, means that nations wishing to host the Games have to present themselves as reliable practitioners of environmental sustainability (ES) in their applications. The greening of sports mega-events, and the hosting of Olympic Games in particular, is now reasonably well established. Yet evidence from the first decade of environmentally-conscious Olympics points to diverging patterns of achievement in the operationalisation of the IOC’s ‘third pillar’. As is now common knowledge, for example, Sydney 2000 was the first ‘Green Olympics’ in the history of the Games; yet four years later, Athens provided a stark contrast, and was the subject of highly critical assessment reports by environmental organisations. Yet Athens has not stopped the Bid Committee for the Beijing 2008 Games claiming that it would ‘leave the greatest Olympic Games environmental legacy ever’ (UNEP 2007: 26), while the London 2012 promotes the concept of the ‘One Planet Olympics’.

In this context and in light of the current global economic crisis, can we claim that London 2012 has the capacity to fulfil its environmental ambitions? This question is adopted in continuity with similar framed questions that have been posed in relation to the most recent Olympics and it is tackled by adopting an investigative model that is placed within discourses of ‘reflexive modernisation’.

Laughter Type Recognition from Whole Body Motion

Despite the importance of laughter in social interactions it remains little studied in affective computing. Respiratory, auditory, and facial laughter signals have been investigated but laughter-related body movements have received almost no attention. The aim of this study is twofold: first an investigation into observers' perception of laughter states (hilarious, social, awkward, fake, and non-laughter) based on body movements alone, through their categorization of avatars animated with natural and acted motion capture data. Significant differences in torso and limb movements were found between animations perceived as containing laughter and those perceived as nonlaughter. Hilarious laughter also differed from social laughter in the amount of bending of the spine, the amount of shoulder rotation and the amount of hand movement. The body movement features indicative of laughter differed between sitting and standing avatar postures. Based on the positive findings in this perceptual study, the second aim is to investigate the possibility of automatically predicting the distributions of observer's ratings for the laughter states. The findings show that the automated laughter recognition rates approach human rating levels, with the Random Forest method yielding the best performance.

Human Perception of Laughter from Context-free Whole Body Motion Dynamic Stimuli

Laughter is a ubiquitous social signal in human interactions yet it remains understudied from a scientific point of view. The need to understand laughter and its role in human interactions has become more pressing as the ability to create conversational agents capable of interacting with humans has come closer to a reality. This paper reports on three aspects of the human perception of laughter when context has been removed and only the body information from the laughter episode remains. We report on ability to categorise the laugh type and the sex of the laugher; the relationship between personality factors with laughter categorisation and perception; and finally the importance of intensity in the perception and categorisation of laughter.