The Effect of Weight on the Perception of Political Candidates

Chris Christie recently visited the famous “Wailing Wall” in Jerusalem, Israel, during his first trip abroad as governor of New Jersey. The New York Post reported on his trip with the headline “The Whale at the Wall” (Campanile 2012). Given headlines like this, it is easy to see anecdotal evidence of the stigmatization that surrounds obesity within contemporary American society. What’s more important is that these social stigmas that Americans are faced with every day are not merely surface level jokes bantered about for a cheap laugh. They are often prejudices that permeate every aspect of human life. Whether it comes to finding a date, looking for a job, or trying to be taken serious by one’s peers, weight is always a topic of concern. In an effort to understand how far entrenched these biases are in society, this thesis studies the ramifications of obesity in politics. In this thesis, I attempt to understand to what extent, if any, obesity matters in regard to candidate appearance, voters' choices, and political behavior.

Seeing Spaces: An Eye-Tracking Study Of Speech Segmentation

Speech is often a multimodal process, presented audiovisually through a talking face. One area of speech perception influenced by visual speech is speech segmentation, or the process of breaking a stream of speech into individual words. Mitchel and Weiss (2013) demonstrated that a talking face contains specific cues to word boundaries and that subjects can correctly segment a speech stream when given a silent video of a speaker. The current study expanded upon these results, using an eye tracker to identify highly attended facial features of the audiovisual display used in Mitchel and Weiss (2013). In Experiment 1, subjects were found to spend the most time watching the eyes and mouth, with a trend suggesting that the mouth was viewed more than the eyes. Although subjects displayed significant learning of word boundaries, performance was not correlated with gaze duration on any individual feature, nor was performance correlated with a behavioral measure of autistic-like traits. However, trends suggested that as autistic-like traits increased, gaze duration of the mouth increased and gaze duration of the eyes decreased, similar to significant trends seen in autistic populations (Boratston & Blakemore, 2007). In Experiment 2, the same video was modified so that a black bar covered the eyes or mouth. Both videos elicited learning of word boundaries that was equivalent to that seen in the first experiment. Again, no correlations were found between segmentation performance and SRS scores in either condition. These results, taken with those in Experiment, suggest that neither the eyes nor mouth are critical to speech segmentation and that perhaps more global head movements indicate word boundaries (see Graf, Cosatto, Strom, & Huang, 2002). Future work will elucidate the contribution of individual features relative to global head movements, as well as extend these results to additional types of speech tasks.