Sensing psychological situations: Applying machine learning techniques on smartphone-sensed data to predict perceived characteristics of situations in daily life

This study is conducted as part of a master thesis at the Department of Psychology of the Ludwig Maximilian University Munich. It investigates whether behavioral and situational data collected via smartphone sensing in daily life can predict individuals' psychological situation. For this purpose, this study applies a machine learning approach to predict individuals’ in situ ratings of perceived situational characteristics (DIAMONDS; Rauthmann et al., 2014) based on smartphone sensing data. Note that all independent variables (or features) defined in our preregistration protocol are also included in another study aimed for publication. All data used in this study is retrieved from the Smartphone Sensing Panel Study (SSPS; Basic Protocol of the SSPS is available under: http://dx.doi.org/10.23668/psycharchives.2901 unknown other