Predicting user identity and personality traits from mobile sensor data

Abstract

Several types of information can be revealed from data provided by mobile sensors. In this study touchscreen and accelerometer data was collected from a group of 98 volunteers during filling in the Eysenck Personality Questionnaire on a tablet computer. Subjects performed swipes on the touchscreen in order to answer the questions. Touchscreen swipes have been already used for user authentication. We show that our constrained swipes contain enough user specific information to be utilized for the same task. Moreover, we have studied the predictability of personality traits such as extraversion, and neuroticism from the collected data. Extraversion was found to be the most reliably predictable personality trait.