Publikationen von Dirk U. Wulff

Aeschbach, S., Mata, R., & Wulff, D. U. (2025). Mapping mental representations with free associations: A tutorial using the R package associatoR. Journal of Cognition, 8(1), Article 3. https://doi.org/10.5334/joc.407

Binz, M., Alaniz, S., Roskies, A., Aczel, B., Bergstrom, C. T., Allen, C., Schad, D., Wulff, D. U., West, J. D., Zhang, Q., Shiffrin, R. M., Gershman, S. J., Popov, V., Bender, E. M., Marelli, M., Botvinick, M. M., Akata, Z., & Schulz, E. (2025). How should the advancement of large language models affect the practice of science? Proceedings of the National Academy of Sciences of the United States of America, 122(5), Article e2401227121. https://doi.org/10.1073/pnas.2401227121

Wulff, D. U., & Mata, R. (2025). Semantic embeddings reveal and address taxonomic incommensurability in psychological measurement. Nature Human Behaviour. Advance online publication. https://doi.org/10.1038/s41562-024-02089-y

Burton, J. W., Lopez-Lopez, E., Hechtlinger, S., Rahwan, Z., Aeschbach, S., Bakker, M. A., Becker, J. A., Berditchevskaia, A., Berger, J., Brinkmann, L., Flek, L., Herzog, S. M., Huang, S., Kapoor, S., Narayanan, A., Nussberger, A.-M., Yasseri, T., Nickl, P., Almaatouq, A., Hahn, U., Kurvers, R. H. J. M., Leavy, S., Rahwan, I., Siddarth, D., Siu, A., Woolley, A. W., Wulff, D. U., & Hertwig, R. (2024). How large language models can reshape collective intelligence. Nature Human Behaviour, 8, 1643–1655. https://doi.org/10.1038/s41562-024-01959-9

Fischer, O., Jeitziner, L. T., & Wulff, D. U. (2024). Affect in science communication: A data-driven analysis of TED Talks on YouTube. Humanities and Social Sciences Communications, 11, Article 80. https://doi.org/10.1057/s41599-023-02247-z

Hussain, Z., Binz, M., Mata, R., & Wulff, D. U. (2024). A tutorial on open-source large language models for behavioral science. Behavior Research Methods, 56, 8214–8237. https://doi.org/10.3758/s13428-024-02455-8

Hussain, Z., Mata, R., & Wulff, D. U. (2024). Novel embeddings improve the prediction of risk perception. EPJ Data Science, 13, Article 38. https://doi.org/10.1140/epjds/s13688-024-00478-x

Lejarraga, T., Ranganathan, K., & Wulff, D. U. (2024). Can simulated experience be harnessed to help people make investment decisions? Judgment and Decision Making, 19, Article e24. https://doi.org/10.1017/jdm.2024.17

Spektor, M. S., & Wulff, D. U. (2024). Predecisional information search adaptively reduces three types of uncertainty. Proceedings of the National Academy of Sciences of the United States of America, 121(47), Article e2311714121. https://doi.org/10.1073/pnas.2311714121

Tisdall, L., Frey, R., Wulff, D. U., Kellen, D., & Mata, R. (2024). Convergence of age differences in risk preference, impulsivity, and self-control: A multiverse analysis. The Journals of Gerontology: B, Psychological Sciences and Social Sciences, 79(8), Article gbae092. https://doi.org/10.1093/geronb/gbae092