Burton, J. W., Herzog, S. M., & Lorenz-Spreen, P. (2024). Simple changes to content curation algorithms affect the beliefs people form in a collaborative filtering experiment. In L. K. Samuelson, S. L. Frank, M. Toneva, A. Mackey, & E. Hazeltine (Eds.), Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 46, pp. 811–818). UC Merced.

Hahn, U., Assaad, L., & Burton, J. W. (2024). Opinion averaging versus argument exchange. In L. K. Samuelson, S. L. Frank, M. Toneva, A. Mackey, & E. Hazeltine (Eds.), Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 46, pp. 4554–4560). UC Merced.

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

Bolenz, F., & Pachur, T. (2022). Exploring the structure of predecisional information search in risky choice. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 44, pp. 2297–2302). Retrieved from https://escholarship.org/uc/item/4fx494f9.

Fuławka, K., & Pachur, T. (2022). An affective probability weighting function for risky choice with nonmonetary outcomes. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 44, pp. 1025–1032). Retrieved from https://escholarship.org/uc/item/5bg7f816.

Hecht, M., Pachur, T., & Schulze, C. (2022). Does social sampling differ between online and offline contacts? A computational modeling analysis. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 44, pp. 319–325). Retrieved from https://escholarship.org/uc/item/0c161487.

Holford, D., Jenny, M. A., Hahn, U., Koylyu, A., Scherzer, M., Lewandowsky, S., Herzog, S., Fasce, A., & Wulf, M. (2022). COVID-19: Communication of public health information. [Written evidence submitted by SciBeh for the Scottish Government’s] COVID-19 Recovery Committee, 15th Meeting, 2022 (Session 6), Thursday 26 May 2022. CVDR/S6/22/15/1. In COVID-19 Recovery Committee 15th Meeting, 2022 Thursday, May 26, 2022 (pp. 1–15). The Scottish Parliament, https://www.parliament.scot/~/media/committ/3435#page=3.

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.

Borukhson, D., Lorenz-Spreen, P., & Ragni, M. (2021). When does an individual accept misinformation? In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 43). Retrieved from https://escholarship.org/uc/item/75b1q7r4.

Keupp, S., Grueneisen, S., Warneken, F., Ludvig, E. A., & Melis, A. P. (2021). Relationship between delay discounting and risk preference in chimpanzees (Pan troglodytes) and humans. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 43). Retrieved from https://escholarship.org/uc/item/7jg8s1d8.

Analytis, P. P., Barkoczi, D., Lorenz-Spreen, P., & Herzog, S. M. (2020). The structure of social influence in recommender networks. In Y. Huang, I. King, T.-Y. Liu, & M. van Steen (Eds.), WWW '20: Proceedings of The Web Conference 2020. Taipei, Taiwan - April 20-24, 2020 (pp. 2655–2661). International World Wide Web Conference Committee. https://doi.org/10.1145/3366423.3380020

Fleur, D. S., van den Bos, W., & Bredeweg, B. (2020). Learning analytics dashboard for motivation and performance. In V. Kumar & C. Troussas (Eds.), Intelligent tutoring systems: 16th International Conference, ITS 2020 Athens, Greece, June 8–12, 2020. Proceedings (pp. 411–419). Springer. https://doi.org/10.1007/978-3-030-49663-0_51

Hertwig, R. (2020). How to improve risk literacy. In B. Siegmund & B. Friedrich (Eds.), Crossing boundaries in science: The mystery of risks - how can science help reconcile perception and assessment? Documentation of the conference held by the Joint Committee on the Handling of Security-Relevant Research, 4–6 July 2019, Potsdam, Germany (pp. 154–162). German National Academy of Sciences Leopoldina.

Keller, N., Jenny, M. A., Spies, C. A., & Herzog, S. M. (2020). Augmenting decision competence in healthcare using AI-based cognitive models. In 2020 IEEE International Conference on Healthcare Informatics (ICHI 2020) (pp. 553–556). IEEE. https://doi.org/10.1109/ICHI48887.2020.9374376

Möhrlen, C., Fleischhut, N., & Bessa, R. J. (2020). Insight on human decision-making from probabilistic forecast games and experience: An IEA Wind Task 36 initiative. In U. Betancourt & T. Ackermann (Eds.), 19th Wind Integration Workshop: International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants, 11 - 12 November 2020: Digital proceedings. Energynautics GmbH.

Zimmerman, S., Herzog, S. M., Elsweiler, D., Chamberlain, J., & Kruschwitz, U. (2020). Towards a framework for harm prevention in web search. In I. Frommholz, H. Liu, & M. Melucci (Eds.), Proceedings of the First Workshop on Bridging the Gap between Information Science, Information Retrieval and Data Science (BIRDS 2020), co-located with 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020) (pp. 30–46). CEUR Workshop Proceedings.

Karaliopoulos, M., Koutsopoulos, I., & Spiliopoulos, L. (2019). Optimal user choice engineering in mobile crowdsensing with bounded rational users. In IEEE INFOCOM 2019: IEEE Conference on Computer Communications (pp. 1054–1062). IEEE. https://doi.org/10.1109/INFOCOM.2019.8737386

Mohnert, F., Pachur, T., & Lieder, F. (2019). What's in the adaptive toolbox and how do people choose from it? Rational models of strategy selection in risky choice. In A. K. Goel, C. M. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Conference of the Cognitive Science Society (pp. 2378–2384). Cognitive Science Society.

Pothos, E. M., Busemeyer, J. R., Pleskac, T. J., Yearsley, J. M., Tenenbaum, J. B., Goodman, N. D., Tessler, M. H., Griffiths, T. L., Lieder, F., Hertwig, R., Pachur, T., Leuker, C., & Shiffrin, R. M. (2019). Extending rationality. In A. K. Goel, C. M. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Conference of the Cognitive Science Society (pp. 39–40). Cognitive Science Society.

Tump, A. N., Wu, C. M., Bouhlel, I., & Goldstone, R. L. (2019). The evolutionary dynamics of cooperation in collective search. In A. K. Goel, C. M. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Conference of the Cognitive Science Society (pp. 883–889). Cognitive Science Society.