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 | 211 | 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 | 87 | 2020 |
Digital Footprints of Sensation Seeking R Schoedel, Q Au, ST Völkel, F Lehmann, D Becker, M Bühner, B Bischl, ... Zeitschrift für Psychologie, 2018 | 46 | 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 | 45 | 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 | 34 | 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 | 34 | |
Behavioral Patterns in Smartphone Usage Predict Big Five Personality Traits C Stachl, Q Au, R Schoedel, D Buschek, S Völkel, T Schuwerk, ... PsyArXiv, 2019 | 25 | 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 | 14* | 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 | 12 | 2018 |
Best practices in supervised machine learning: A tutorial for psychologists F Pargent, R Schoedel, C Stachl Doi: https://doi. org/10 31234, 2022 | 7 | 2022 |
Fxtract: Feature extraction from grouped data Q Au, C Stachl, R Schoedel, T Ullmann, A Hofheinz R Package Version 0.9 2, 2019 | 6 | 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 | 5 | 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 | 4 | 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 | 3 | 2022 |
Chatbots for Experience Sampling-Initial Opportunities and Challenges F Bemmanna, R Schoedela, N Van Berkel, D Buschek CEUR Workshop Proceedings 2903, 2021 | 3 | 2021 |
An Introduction to Machine Learning for Psychologists in R F Pargent, R Schoedel, C Stachl PsyArXiv, 2022 | 2* | 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 | 2 | 2022 |
Basic Protocol: Smartphone Sensing Panel Study R Schoedel, M Oldemeier | 2 | 2020 |
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 | 2 | 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 | 2 | 2018 |