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Clemens Stachl
Clemens Stachl
Institute of Behavioral Science and Technology, University of St. Gallen
Bestätigte E-Mail-Adresse bei unisg.ch - Startseite
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Zitiert von
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Jahr
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
360*2020
Sensing sociability: Individual differences in young adults’ conversation, calling, texting, and app use behaviors in daily life.
GM Harari, SR Müller, C Stachl, R Wang, W Wang, M Bühner, ...
Journal of personality and social psychology 119 (1), 204, 2020
1772020
Personality traits predict smartphone usage
C Stachl, S Hilbert, JQ Au, D Buschek, A De Luca, B Bischl, H Hussmann, ...
European Journal of Personality 31 (6), 701-722, 2017
1642017
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
1582020
Bottom-up and top-down: Predicting personality with psycholinguistic and language model features
Y Mehta, S Fatehi, A Kazameini, C Stachl, E Cambria, S Eetemadi
2020 IEEE international conference on data mining (ICDM), 1184-1189, 2020
1402020
Age and gender in language, emoji, and emoticon usage in instant messages
TK Koch, P Romero, C Stachl
Computers in Human Behavior 126, 106990, 2022
812022
Developing a personality model for speech-based conversational agents using the psycholexical approach
ST Völkel, R Schödel, D Buschek, C Stachl, V Winterhalter, M Bühner, ...
Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020
722020
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 34 (5), 649-669, 2020
652020
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
592020
Digital footprints of sensation seeking
R Schoedel, Q Au, ST Völkel, F Lehmann, D Becker, M Bühner, B Bischl, ...
Zeitschrift für Psychologie, 2019
582019
Grouped feature importance and combined features effect plot
Q Au, J Herbinger, C Stachl, B Bischl, G Casalicchio
Data Mining and Knowledge Discovery 36 (4), 1401-1450, 2022
562022
How to e-mental health: a guideline for researchers and practitioners using digital technology in the context of mental health
C Seiferth, L Vogel, B Aas, I Brandhorst, P Carlbring, A Conzelmann, ...
Nature Mental Health 1 (8), 542-554, 2023
552023
Machine learning for the educational sciences
S Hilbert, S Coors, E Kraus, B Bischl, A Lindl, M Frei, J Wild, S Krauss, ...
Review of Education 9 (3), e3310, 2021
542021
Best practices in supervised machine learning: A tutorial for psychologists
F Pargent, R Schoedel, C Stachl
Advances in Methods and Practices in Psychological Science 6 (3 …, 2023
452023
Computational personality assessment
C Stachl, RL Boyd, KT Horstmann, P Khambatta, SC Matz, GM Harari
Personality Science 2 (1), e6115, 2021
43*2021
Multilabel classification with R package mlr
P Probst, Q Au, G Casalicchio, C Stachl, B Bischl
arXiv preprint arXiv:1703.08991, 2017
342017
Analyzing GPS data for psychological research: a tutorial
SR Müller, JB Bayer, MQ Ross, J Mount, C Stachl, GM Harari, YJ Chang, ...
Advances in Methods and Practices in Psychological Science 5 (2 …, 2022
302022
Enter the wild: Autistic traits and their relationship to mentalizing and social interaction in everyday life
T Schuwerk, LJ Kaltefleiter, JQ Au, A Hoesl, C Stachl
Journal of Autism and Developmental Disorders 49, 4193-4208, 2019
302019
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, 31, 2019
272019
Using machine learning to predict student retention from socio-demographic characteristics and app-based engagement metrics
SC Matz, CS Bukow, H Peters, C Deacons, A Dinu, C Stachl
Scientific Reports 13 (1), 5705, 2023
262023
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