An ALLS paper was accepted as a journal paper in the Philippine Information Technology Journal.
The paper, entitled “Exploring the use of biometric readings to predict levels of viewer engagement ”, was written by Mary Josephine Co, the high school student who interned at ALLS over the summer, Dr. Didith Rodrigo, and Ivan Jacob Pesigan.
This paper describes the use of biometrics readings, specifically electrodermal activity (EDA) and body temperature, to predict levels of video viewer engagement. Test subjects were asked to watch a series of video clips of different types. We collected their EDA and temperatures while they were watching clips using the Affectiva Q sensor. After each clip, they were asked to rate how engaging they found the video. We then created a linear model that predicted their ratings. Unfortunately, the model was not significant. Subsequent statistical tests on the data showed no significant difference in EDA and temperature among the different levels of engagement. The experiences documented in this paper may serve as experiment design notes for researchers who intend to conduct similar studies.
