Publications

Personality Computing With Naturalistic Music Listening Behavior: Comparing Audio and Lyrics Preferences

Sust, L., Stachl, C., Kudchadker, G., Bühner, M., & Schoedel, R. (2023). Personality Computing With Naturalistic Music Listening Behavior: Comparing Audio and Lyrics Preferences. Collabra,9(1), 75214. https://doi.org/10.1525/collabra.75214

Snapshots of daily life: Situations investigated through the lens of smartphone sensing. Journal of Personality and Social Psychology

Schoedel, R., Kunz, F., Bergmann, M., Bemmann, F., Bühner, M., & Sust, L. (2023). Snapshots of daily life: Situations investigated through the lens of smartphone sensing. Journal of Personality and Social Psychology. Advance online publication. https://doi.org/10.1037/pspp0000469

Does Your Smartphone “Know” Your Social Life? A Methodological Comparison of Day Reconstruction, Experience Sampling, and Mobile Sensing

Roos, Y., Krämer, M. D., Richter, D., Schoedel, R., & Wrzus, C. (2023). Does Your Smartphone “Know” Your Social Life? A Methodological Comparison of Day Reconstruction, Experience Sampling, and Mobile Sensing. Advances in Methods and Practices in Psychological Science, 6(3). https://doi.org/10.1177/25152459231178738

Systematic Categorisation of 3,091 Smartphone Applications From a Large-Scale Smartphone Sensing Dataset

Schoedel, R., Oldemeier, M., Bonauer, L., & Sust, L. (2022). Systematic Categorisation of 3,091 Smartphone Applications From a Large-Scale Smartphone Sensing Dataset. Journal of Open Data Psychology, 10(7), 1-10. https://doi.org/10.5334/jopd.59

To Challenge the Morning Lark and the Night Owl: Using Smartphone Sensing Data to Investigate Day–Night Behaviour Patterns

Schoedel, R., Pargent, F., Au, Q., Völkel, S. T., Schuwerk, T., Bühner, M., and Stachl, C. (2020). To Challenge the Morning Lark and the Night Owl: Using Smartphone Sensing Data to Investigate Day–Night Behaviour Patterns. European Journal of Personality, 34(5), 733-752. https://doi.org/10.1002/per.2258

Predicting personality from patterns of behavior collected with smartphones

Stachl, C., Au, Q., Schoedel, R., Gosling, S. D., Harari, G. M., Buschek, D., … & Hussmann, H. (2020). Predicting personality from patterns of behavior collected with smartphones. Proceedings of the National Academy of Sciences, 117(30), 17680-17687. https://doi.org/10.1073/pnas.1920484117

Sensing sociability: Individual differences in young adults’ conversation, calling, texting, and app use behaviors in daily life

Harari, G. M., Müller, S. R., Stachl, C., Wang, R., Wang, W., Bühner, M., … & Gosling, S. D. (2020). Sensing sociability: Individual differences in young adults’ conversation, calling, texting, and app use behaviors in daily life. Journal of personality and social psychology, 119(1), 204. https://psycnet.apa.org/doi/10.1037/pspp0000245

Enter the wild: Autistic traits and their relationship to mentalizing and social interaction in everyday life

Schuwerk, T., Kaltefleiter, L. J., Au, J. Q., Hoesl, A., & Stachl, C. (2019). Enter the wild: Autistic traits and their relationship to mentalizing and social interaction in everyday life. Journal of autism and developmental disorders, 49, 4193-4208. https://doi.org/10.1007/s10803-019-04134-6

Digital Footprints of Sensation Seeking

Schoedel, R., Au, Q., Völkel, S., Lehmann, F., Becker, D., Bühner, M., Bischl., B., Hussmann, H. & Stachl, C. (2018). Digital footprints of sensation seeking: a traditional concept in the big data era. Zeitschrift für Psychologie, 226(4), 232-245. https://psycnet.apa.org/doi/10.1027/2151-2604/a000342