![]() When the expression was happy we saw no effect of filter however when the expression was angry we found the fire filter increased the likeliness people would rate the face as angry. 001, and this was driven primarily by greater errors for angry expressions in the context of the rainbow filter. We found the number of correct responses to be significantly higher in congruent (versus incongruent) conditions, t(16) = 4.59, p <. We compared whether different filters affected the perceived expressions in congruent (filter and expression matched) and incongruent (filter and expression mismatched) images. The expected valence of these filters was crossed with three types of expression: anger, happiness, and neutral. There were three possible filter states: fire filter, rainbow filter, or no filter. ![]() Subjects viewed face stimuli for 500 milliseconds and were asked to identify the expression. In the following study, we studied how the choice of a snapchat filter influences perception of expression on that face. Filters in this context are defined as digital additions or manipulations to photos, such as changing images to black and white or adding a rainbow in the foreground. Snapchat takes advantage of facial recognition algorithms to create and add filters to photos. It boasts 58.6 million users and has become one of the top used applications for millennials. Snapchat is a social media application that allows users to take and send photos.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |