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.
News & Updates
Invited talk at the University of Amsterdam
04.05.2021, Online/Amsterdam, NL, EU
Angelika Stefan invited me to give a guest lecture about my research at the Mellenbergh lecture series at the Psychological Methods Department at UvA.
SPSP 2021 Convention
I am exited that I will be giving a talk on talk on explainable machine learning for mobile personality sensing at SPSP pre-conference on the Psychology of Media and Technology.
I will also give another talk on explainable machine learning in the professional development session New Developments in Psychological Assessment and How to Use Them,organized by Sandra Matz (Columbia Business School) and Friedrich Götz (Cambridge University).
Invited talk at the University of Regensburg
17.12.2020, Online/Regensburg, DE, EU
I gave an invited talk on mobile sensing in educational research in the colloquium of Prof. Sven Hilbert, at the University of Regensburg.
Invited talk at the University of Hamburg
15.12.2020, Online/Hamburg, DE, EU
I gave an invited talk on mobile sensing in personality psychology in the colloquium of Prof. Jenny Wagner, at the University of Hamburg.
Our work featured in FORBES
Our Research on Personality Prediction from Daily Behavior was published in PNAS
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
New articles out
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.