Ramona Schoedel
Ramona Schoedel
Department of Psychology, Psychological Methods and Assessment, Ludwig-Maximilians-Universität
Verified email at - Homepage
Cited by
Cited by
Predicting personality from patterns of behavior collected with smartphones
C Stachl, Q Au, R Schoedel, SD Gosling, GM Harari, D Buschek, ...
Proceedings of the National Academy of Sciences 117 (30), 17680-17687, 2020
Personality research and assessment in the era of machine learning
C Stachl, F Pargent, S Hilbert, GM Harari, R Schoedel, S Vaid, SD Gosling, ...
European Journal of Personality 34 (5), 613-631, 2020
Digital Footprints of Sensation Seeking
R Schoedel, Q Au, ST Völkel, F Lehmann, D Becker, M Bühner, B Bischl, ...
Zeitschrift für Psychologie, 2018
Developing a Personality Model for Speech-based Conversational Agents Using the Psycholexical Approach
ST Völkel, R Schoedel, D Buschek, C Stachl, V Winterhalter, M Bühner, ...
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020
To challenge the morning lark and the night owl: Using smartphone sensing data to investigate day–night behaviour patterns
R Schoedel, F Pargent, Q Au, ST Völkel, T Schuwerk, M Bühner, C Stachl
European Journal of Personality 34 (5), 733-752, 2020
Personality Sensing for Theory Development and Assessment in the Digital Age
GM Harari, SS Vaid, SR Müller, C Stachl, Z Marrero, R Schoedel, ...
European Journal of Personality, 0
Behavioral Patterns in Smartphone Usage Predict Big Five Personality Traits
C Stachl, Q Au, R Schoedel, D Buschek, S Völkel, T Schuwerk, ...
PsyArXiv, 2019
Opportunities and challenges of utilizing personality traits for personalization in HCI
ST Völkel, R Schödel, D Buschek, C Stachl, Q Au, B Bischl, M Bühner, ...
Personalized Human-Computer Interaction (2019) 31, 2
I Drive My Car and My States Drive Me: Visualizing Driver's Emotional and Physical States
ST Völkel, J Graefe, R Schödel, R Häuslschmid, C Stachl, Q Au, ...
Adjunct Proceedings of the 10th International Conference on Automotive User …, 2018
Best practices in supervised machine learning: A tutorial for psychologists
F Pargent, R Schoedel, C Stachl
Doi: https://doi. org/10 31234, 2022
Fxtract: Feature extraction from grouped data
Q Au, C Stachl, R Schoedel, T Ullmann, A Hofheinz
R Package Version 0.9 2, 2019
User Perceptions of Extraversion in Chatbots after Repeated Use
ST Völkel, R Schoedel, L Kaya, S Mayer
CHI Conference on Human Factors in Computing Systems, 1-18, 2022
Snapshots of Daily Life: Situations Investigated Through the Lens of Smartphone Sensing
R Schoedel, F Kunz, M Bergmann, F Bemmann, M Bühner, L Sust
PsyArXiv, 2022
Systematic Categorisation of 3,091 Smartphone Applications From a Large-Scale Smartphone Sensing Dataset
R Schoedel, M Oldemeier, L Bonauer, L Sust
Journal of Open Psychology Data 10 (1), 2022
Chatbots for Experience Sampling-Initial Opportunities and Challenges
F Bemmanna, R Schoedela, N Van Berkel, D Buschek
CEUR Workshop Proceedings 2903, 2021
An Introduction to Machine Learning for Psychologists in R
F Pargent, R Schoedel, C Stachl
PsyArXiv, 2022
Personality Computing with Naturalistic Music Listening Behavior: Integrating Audio and Lyrics Preferences
L Sust, G Kudchadker, R Schoedel, T Schuwerk, M Bühner, C Stachl
PsyArXiv, 2022
Basic Protocol: Smartphone Sensing Panel Study
R Schoedel, M Oldemeier
Component-Wise Boosting of Targets for Multi-Output Prediction
Q Au, D Schalk, G Casalicchio, R Schoedel, C Stachl, B Bischl
arXiv preprint arXiv:1904.03943, 2019
One way to guide them all: Wayfinding strategies and the examination of gender-specific navigational instructions in a real-driving context
R Schoedel, S Hilbert, M Bühner, C Stachl
Transportation research part F: traffic psychology and behaviour 58, 754-768, 2018
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