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

The study Smartphone Sensing Panel Study aims to create a benchmark dataset for the scientific community, including three data collection modalities: (1) smartphone sensing (2) experience sampling, and (3) monthly online surveys. The study is a panel study lasting for three to six months and resulting in high-dimensional and longitudinal behavioral and situational sensing data, self-report data in situ, and traditional questionnaire data about a broad range of psychological traits and phenomena. A quota sample of N = 800 participants is recruited and asked to install the research app PhoneStudy for three to six months. During the period of study participation, sensing data is continuously logged. Sensing data collection is complemented by monthly online surveys and experience sampling periods

We present the dataset for the article "Snapshots of Daily Life: Situations Investigated Through the Lens of Smartphone Sensing." The data were collected as part of the Smartphone Sensing Panel Study and include 9,790 situational snapshots (observations) from N = 455 participants collected over 14 days of daily life using mobile sensing and experience sampling. Specifically, Dataset 1 is an aggregated mobile sensing dataset with 1,365 cues (including variables extracted from GPS, phone, app, activity logs, etc.) and experience sampling on situational awareness and affective valence. Dataset 2 contains the Big Five as person variables. Demographic and technical variables (age, gender, education, manufacturer, and Android version of the smartphone) that were not used for the data analyses were removed for privacy reasons, but can be made available upon request. The datasets are documented by a comprehensive accompanying codebook. Additional materials (e.g., preprocessing and analysis code) can also be found at https://osf.io/b7krz/. Further details on the variables provided and the associated study procedures can be found in the journal article: Schoedel, R., Kunz, F., Bergmann, M., Bemmann, F., Bühner, M., & Sust, L. (Accepted). Snapshots of Daily Life: Situations Investigated Through the Lens of Smartphone Sensing. Accepted for Publication in: Journal of Personality and Social Psychology.