Media Day: Using Computational Techniques to Study Emotion Regulation Through Media Choices Over an Entire Day
2013 CSS Fellowship
Understanding the extent to which users actively process and proactively control sequence and pace of media choices has important implications for theories and design in communication, human-computer interaction, and psychology and is the basis of this research. I will use computational techniques to 1) create a database linking emotion (e.g. skin conductance) to corresponding screen content over the course of a day; 2) utilize machine learning to detect and classify salient features of screenshots (e.g. presence of faces, luminance, text vs. images); and 3) to test the theories “in the field” by analyzing the effects of precise changes in screen experience on arousal and mood over the course of a day.