Journal Article (275)

2024
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Christensen, J. F., Fernández, A., Smith, R. A., Michalareas, G., Yazdi, S. H. N., Farahi, F., Schmidt, E.-M., Bahmanian, N., & Roig, G. (2024). EMOKINE: A software package and computational framework for scaling up the creation of highly controlled emotional full‑body movement datasets. Behavior Research Methods, 56, 7498–7542. https://doi.org/10.3758/s13428-024-02433-0
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Christensen, J. F., Wesseldijk, L. W., Mosing, M. A., Fayn, K., Schmidt, E.-M., Blattmann, M., Sancho-Escanero, L., & Ullén, F. (2024). The dancer personality: Comparing dancers and non-dancers in Germany and Sweden. Personality and Individual Differences, 222, Article 112603. https://doi.org/10.1016/j.paid.2024.112603
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Clarmann von Clarenau, V., Appelhoff, S., Pachur, T., & Spitzer, B. (2024). Over- and underweighting of extreme values in decisions from sequential samples. Journal of Experimental Psychology: General, 153(3), 814–826. https://doi.org/10.1037/xge0001530
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Collins, R. N., Mandel, D. R., Karvetski, C. W., Wu, C. M., & Nelson, J. D. (2024). The wisdom of the coherent: Improving correspondence with coherence-weighted aggregation. Decision, 11(1), 60–85. https://doi.org/10.1037/dec0000211
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Conjeaud, I., Lorenz-Spreen, P., & Kalogeratos, A. (2024). DeGroot-based opinion formation under a global steering mechanism. IEEE Transactions on Computational Social Systems, 11(3), 4040–4057. https://doi.org/10.1109/TCSS.2023.3330293
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Cordes, S., Dertwinkel-Kalt, M., & Werner, T. (2024). What drives demand for loot boxes? An experimental study. Journal of Economic Behavior & Organization, 228, Article 106755. https://doi.org/10.1016/j.jebo.2024.106755
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Cummins, S. T. (2024). Disgust and the duel: Aristocratic violence, the scienza cavalleresca, and feeling rules in early modern Italy. Social Science History, 48(4), 621–641. https://doi.org/10.1017/ssh.2024.34
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Cummins, S. T., & Pahl, K. M. (2024). Feeling the rules: Historical and contemporary perspectives on emotional norms and social distinction. Social Science History, 48(4), 603–619. https://doi.org/10.1017/ssh.2024.39
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da Silva Pinho, A., Céspedes Izquierdo, V., Lindström, B., & van den Bos, W. (2024). Youths’ sensitivity to social media feedback: A computational account. Science Advances, 10(43), Article eadp8775. https://doi.org/10.1126/sciadv.adp8775
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Dahl, M. J., Werkle-Bergner, M., & Mather, M. (2024). Neuromodulatory systems in aging and disease [Editorial]. Neuroscience & Biobehavioral Reviews, 162, Article 105647. https://doi.org/10.1016/j.neubiorev.2024.105647
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Dallacker, M., Appelius, L., Brandmaier, A. M., Morais, A. S., & Hertwig, R. (2024). Opt-out defaults do not increase organ donation rates. Public Health, 236, 436–440. https://doi.org/10.1016/j.puhe.2024.08.009
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Dau, P. H., Rumpel, M., & Wegwarth, O. (2024). Krebsfrüherkennungen: Die Kommunikation von Nutzen und Schaden. InFo Hämatologie + Onkologie, 27(9), 10–13. https://doi.org/10.1007/s15004-024-0696-9
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David, G., Fricke, B., Oeschger, J. M., Ruthotto, L., Fritz, F. J., Ohana, O., Mordhorst, L., Sauvigny, T., Freund, P., Tabelow, K., & Mohammadi, S. (2024). ACID: A comprehensive toolbox for image processing and modeling of brain, spinal cord, and ex vivo diffusion MRI data. Imaging Neuroscience, 2. https://doi.org/10.1162/imag_a_00288
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de Groot, E. C. S., Hofmans, L., & van den Bos, W. (2024). Brain structure correlates of social information use: An exploratory machine learning approach. Frontiers in Human Neuroscience, 18, Article 1383630. https://doi.org/10.3389/fnhum.2024.1383630
Journal Article
Deffner, D., Fedorova, N., Andrews, J., & McElreath, R. (2024). Bridging theory and data: A computational workflow for cultural evolution. Proceedings of the National Academy of Sciences of the United States of America, 121(48), Article e2322887121. https://doi.org/10.1073/pnas.2322887121
Journal Article
Deffner, D., Mezey, D., Kahl, B., Schakowski, A., Romanczuk, P., Wu, C. M., & Kurvers, R. H. J. M. (2024). Collective incentives reduce over-exploitation of social information in unconstrained human groups. Nature Communications, 15, Article 2683. https://doi.org/10.1038/s41467-024-47010-3
Journal Article
Diemerling, H., Stresemann, L., Braun, T., & von Oertzen, T. (2024). Implementing machine learning techniques for continuous emotion prediction from uniformly segmented voice recordings. Frontiers in Psychology, 15, Article 1300996. https://doi.org/10.3389/fpsyg.2024.1300996
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Dolan, P., Krekel, C., & Swanke, S. (2024). Affective paternalism. Behavioural Public Policy. Advance online publication. https://doi.org/10.1017/bpp.2024.24
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Dong, M., Bonnefon, J.-F., & Rahwan, I. (2024). Toward human-centered AI management: Methodological challenges and future directions. Technovation, 131, Article 102953. https://doi.org/10.1016/j.technovation.2024.102953
Journal Article
Dong, M., Conway, J. R., Bonnefon, J.-F., Shariff, A., & Rahwan, I. (2024). Fears about artificial intelligence across 20 countries and six domains of application. American Psychologist. Advance online publication. https://doi.org/10.1037/amp0001454
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