In my research I focus on the collection and analysis of data from consumer-electronics (smartphones, cars ...) with regard to psychological phenomena. In particular, I apply machine learning techniques on those datasets in order to predict both behavior and personal traits.
I am also interested in the design of personalized systems and how human-system interaction can be improved by considering differential human factors in the design process (demography, personality etc.).
News & Updates
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.