Publications of Ralf H. J. M. Kurvers

Trianni, V., Nuzzolese, A. G., Porciello, J., Kurvers, R. H. J. M., Herzog, S. M., Barabucci, G., Berditchevskaia, A., & Fung, F. (2023). Hybrid collective intelligence for decision support in complex open-ended domains. In P. Lukowicz, S. Mayer, J. Koch, J. Shawe-Taylor, & I. Tiddi (Eds.), HHAI 2023: Augmenting Human Intellect. Proceedings of the Second International Conference on Hybrid Human-Artificial Intelligence (pp. 124–137). IOS Press. https://doi.org/10.3233/FAIA230079

Tump, A. N., Pleskac, T. J., Romanczuk, P., & Kurvers, R. H. J. M. (2022). How the cognitive mechanisms underlying fast choices influence information spread and response bias amplification in groups. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the 44th Annual Meeting of the Cognitive Science Society (pp. 658–664). UC Merced.

Tump, A. N. (2020). How social learning strategies boost or undermine decision making in groups [PhD Thesis, Freie Universität Berlin]. https://doi.org/10.17169/refubium-27728

Schakowski, A. (2021). Pooling judgments in homogenous and heterogenous groups: Accounting for interindividual differences in confidence calibration improves collective performance [Master's Thesis, Universität Heidelberg].

Sultan, M. (2021). The impact of time-scarcity on discrimination ability and response bias during misinformation identification [Master's Thesis, University of Amsterdam].

Wollny-Huttarsch, D. (2020). First come, first serve: Early social influence exerts higher influence on individuals' judgments [Master's Thesis, Maastricht University].

Amaddio, A. (2017). Listening to the collective intelligence channel in medical decision making of interacting groups [Bachelor Thesis, Freie Universität Berlin].