Data Streams

The project would employ three different data stream to get data that would most accurately reflect the different regions. Explicit region of which knowledge each participant is from would be used to group different pictures regions together so that each visual piece would accurately reflect the interactions with strangers of the people from one region. Fuzziness would be used to represent the data collected by implying how uniform the participants of a single region were with their body language and interactions. Fuzziness intuitively implies to people that something is harder to understand, so fuzziness in the visual displays would be easy for the observers to interpret as a sign that the reactions in a region are more varied and thus harder to categorize. The actual facial expression and body language of the participants would be used as the final data stream. The body language of the participants would give the observers an idea of how the participants as a whole felt about meeting and interacting with strangers. Different aspects of body language, such as whether the regions’ people tended to smile or use hand gestures, would serve as different points of data that could act individually or as a whole to provide the observer more information from which they could make their own conclusions about each region.