I have a background in Psychology and specialize in the investigation of personality traits, individual differences, and human behavior with mobile-sensing methods. I use machine learning techniques to describe, explain, and predict psychological traits.
In particular, I investigate how computational methods and AI can be used to improve and facilitate peoples lives, how human-computer interaction can be improved by considering individual differences, and what consequences the widespread use of computational systems can have on individuals and society at large.
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Stachl, C., Au, Q., Schoedel, R., Samuel. D. Gosling, Gabriella. M. Harari., Buschek, D., Völkel, S., Schuwerk, T., . . . Bühner, M. (2020). Predicting Personality from Patterns of Behavior Collected with Smartphones. Proceedings of the National Academy of Sciences of the United States of America (PNAS). https://doi.org/10.1073/pnas.1920484117
Stachl, C., Pargent, F., Hilbert, S., Harari, G. M., Schoedel, R., Vaid, S., … Bühner, M. (2020). Personality Research and Assessment in the Era of Machine Learning. European Journal of Personality, per.2257. https://doi.org/10.1002/per.2257
Schoedel, R., Pargent, F., Au, Q., Völkel, S. T., Schuwerk, T., Bühner, M., & 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, per.2258. https://doi.org/10.1002/per.2258
Völkel, S. T., Schödel, R., Buschek, D., Stachl, C., Winterhalter, V., Bühner, M., & Hussmann, H. (2020). Developing a Personality Model for Speech-based Conversational Agents Using the Psycholexical Approach. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–14. https://doi.org/10.1145/3313831.3376210
27.02.2020, New Orleans, LA, USA
I am organizing a symposium on "Big Data, Machine Learning and Mobile Sensing - New Directions in Personality Research", featuring Ramona Schödel (LMU-Munich, Psychology) and Poruz Khambatta (Stanford Business School).
30.09.2019 - 02.10.2019
Uni-Saarland, Saarbrücken, Germany.
. 30.09.2019. I will give a talk on the importance of interpretable machine learning for research and assessment in psychology.
02.10.2019, 18:30h. I will be participating in a panel discussion on explainable AI.
DPPD 2019, Dresden, Germany
14.09. - 18.09.2019
15.09.2019, 9:00-17h. Prior to the DPPD20199 conference, Ramona Schödel and I will provide "An Introduction to Machine Learning for Psychologists in R" in a preconference workshop. More infos are provided via this OSF-repository.
16.09.2019. For my work on the usage of smartphones for personality research and assessment, I was awarded with the "Award for Digital Assessment" by the Division for Personality and Psychological Assessment of the German Psychological Society (DGPS).
17.09.2019, 11:00h. I will be giving a presentation on "Machine Learning for Personality Assessment" at Le Vy Phan's symposium on Challenges in and Approaches to Behavioral Assessment & Prediction.
Presentation at the ECDP Big Data special event in Athens.
Together with Sabine Walper, I will talk about the potential of mobile sensing methods for continous high-frequent data collection in developmental psychology.
Presentation at the DPPD Post-Doc workshop at the GESIS institute in Mannheim.
I will present results from our teams latest study on the prediction of big five personality traits from a wide range of smartphone-sensed behaviors.
Presentation at the 1st workshop on mobile apps and sensors in surveys (MASS) at the University of Mannheim.
I will introduce the LMU-PhoneStudy mobile-sensing research system and presents how data from mobiles sensors can be used cojointly with classical measures from surveys.
Presentation at the 2019 SPSP Annual Convention.
I will give a(n) (unfortunately remotely) talk on the predictability of personality traits from every-day smartphone usage in the symposium "Using RealWorld Behavioral Data to Advance Psychological Research and Theory", chaired by Christine Anderl,
16.09. - 20.09.2018
Prior to the DGPS2018 conference, Florian Pargent and I will provide "An Introduction to Machine Learning for Psychologists in R" in a preconference workshop. More infos will be provided via this OSF-repository.
I'll be chairing a prediction-focused symposium ( "Predictions in Psychology - Behavior, Personality, Emotions, Performance, Places and Person-Culture Fit") at the DGPS2018 in Frankfurt, Germany.
Prof. Dr. Markus Bühner and I will discuss "Psychological Diagnostics in the Era of Machine Learning" in the invited symposium "Big Data: The new Big Promise for research in applied psychology?", chaired by Cornelius König.
Sandrine Müller and I be will co-chairing a symposium titled "Physical manifestations of psychological characteristics" at the APS - Convention in San Francisco. I will present my groups work on the prediction of individual personality traits from smartphone data with a focus on geo-location based features.