Forschung
Ausgewählte Publikationen
Seit Jahren prägen wir die Schnittstelle zwischen künstlicher Intelligenz und den Verhaltenswissenschaften durch eigene Forschungsbeiträge. Unsere Ergebnisse veröffentlichen wir regelmäßig als Open-Access-Publikationen in führenden internationalen Fachzeitschriften.
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2026
Hommel, B. E., Külpmann, A. I., & Arslan, R. C. (2026). The Synthetic Nomological Net: A search engine to identify conceptual overlap in measures in the behavioral sciences (Nfgmv_v2). PsyArXiv.
osf.io/preprints/psyarxiv/nfgmv_v2 -
2025
Hommel, B. E., & Arslan, R. C. (2025). Language Models Accurately Infer Correlations Between Psychological Items and Scales From Text Alone. Advances in Methods and Practices in Psychological Science, 8(4), 25152459251377093.
doi.org/10.1177/25152459251377093 -
2025
Schubert, K., Mader, N., Welt, M. S., Hommel, B. E., Wollang, F. J. M., & Volmer, J. (2025). The Interactive Career Atlas—An AI-Based Web Application for Informed Career Decisions. In F. Bellas & O. Fontenla-Romero (Eds.), AI in Education and Educational Research (Vol. 2519, pp. 44–51). Springer Nature Switzerland.
doi.org/10.1007/978-3-031-93409-4_4 -
2023
Hommel, B. E. (2023). Expanding the methodological toolbox: Machine-based item desirability ratings as an alternative to human-based ratings. Personality and Individual Differences, 213, 112307.
doi.org/10.1016/j.paid.2023.112307 -
2022
Hommel, B. E., Wollang, F.-J. M., Kotova, V., Zacher, H., & Schmukle, S. C. (2022). Transformer-Based Deep Neural Language Modeling for Construct-Specific Automatic Item Generation. Psychometrika, 87(2), 749–772.
doi.org/10.1007/s11336-021-09823-9