Demircan, C., Saanum, T., Pettini, L., Binz, M., Baczkowski, B. M., Doeller, C. F., Garvert, M. M., & Schulz, E. (2025). Evaluating alignment between humans and neural network representations in image-based learning tasks. In A. Globerson, L. Mackey, D. Belgrave, A. Fan, U. Paquet, J. Tomczak, & C. Zhang (Eds.), Advances in Neural Information Processing Systems 37: 38th Conference on Neural Information Processing Systems (NeurIPS 2024). Curran.

Krueger, J. I., Evans, A. M., Grüning, D. J., & Aizenberg, B. (in press). Heuristic trust. In J. P. Forgas (Ed.), The social psychology of trust: The 27th Sydney Symposium on Social Psychology. Routledge.

Yun, C., Wagner, C., & Heilinger, J.-C. (2025). It is not about bias but discrimination. In M. Cerrato, A. Vallenas Coronel, P. Ahrweiler, M. Loi, M. Pechenizkiy, & A. Tamò-Larrieux (Eds.), EWAF '24: Proceedings of the 3rd European Workshop on Algorithmic Fairness. CEUR Workshop Proceedings.

Arakawa, R., & Yakura, H. (2024). Coaching copilot: Blended form of an LLM-powered chatbot and a human coach to effectively support self-reflection for leadership growth. In M. Dubiel & L. A. Leiva (Eds.), CUI '24: Proceedings of the 6th ACM Conference on Conversational User Interfaces. ACM Digital Library. https://doi.org/10.1145/3640794.3665549

Arakawa, R., Yakura, H., & Goel, M. (2024). PrISM-Observer: Intervention agent to help users perform everyday procedures sensed using a smartwatch. In L. Yao, M. Goel, A. Ion, & P. Lopes (Eds.), UIST '24: Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology. ACM Digital Library. https://doi.org/10.1145/3654777.3676350

Baumann, F., Halpern, D., Procaccia, A. D., Rahwan, I., Shapira, I., & Wüthrich, M. (2024). Optimal engagement-diversity tradeoffs in social media. In WWW '24: Proceedings of the ACM on Web Conference 2024 (pp. 288–299). https://doi.org/10.1145/3589334.3645713

Born, F., Muttenthaler, L., Greff, K., Unterthiner, T., Lampinen, A. K., Müller, K.-R., & Mozer, M. C. (2024). Evaluating and supervising vision models with multi-level similarity judgments. In CCN 2024: the 7th annual conference on Cognitive Computational Neuroscience.

Born, F., & Spitzer, B. (2024). Long-term effects of working memory retrieval from prioritized and deprioritized states. In CCN 2024: the 7th annual conference on Cognitive Computational Neuroscience.

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.

Engelmann, N., Hannikainen, I. R., González-García, C., & Ruz, M. (2024). Understanding rule enforcement using drift diffusion models. 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. 114–120). UC Merced.

Försterling, M., Gerdemann, S., Parkinson, B., & Hepach, R. (2024). Exploring the expression of emotions in children's body posture using OpenPose. 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. 4901–4908). 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.

Hall-McMaster, S., Tomov, M. S., Gershman, S. J., & Schuck, N. W. (2024). Neural prioritisation of past solutions supports generalisation. In CCN 2024: the 7th annual conference on Cognitive Computational Neuroscience.

Löwe, A. T., Petzka, M., Tzegka, M., & Schuck, N. W. (2024). Sleep inspires insight: A preregistered study. In CCN 2024: the 7th annual conference on Cognitive Computational Neuroscience.

Satti, M. H., Wille, K., Nassar, M. R., Cichy, R. M., Schuck, N. W., Dayan, P., & Bruckner, R. (2024). Absence of systematic effects of trait anxiety on learning under uncertainty. In CCN 2024: the 7th annual conference on Cognitive Computational Neuroscience.

Verra, L., Spitzer, B., Schuck, N. W., & Zika, O. (2024). Computational mechanisms of aversive generalisation in anxiety. In CCN 2024: the 7th annual conference on Cognitive Computational Neuroscience.

Zorbek, D., Appelhoff, S., & Spitzer, B. (2024). (Eye-)tracking of task-dependent representational dynamics in working memory. In CCN 2024: the 7th annual conference on Cognitive Computational Neuroscience.

Chai, K.-X., Stanciu, O., & Ruggeri, A. (2023). Efficient detectives in the sandbox: Children demonstrate adaptive information-search strategies in a novel spatial search game. In M. Goldwater, F. K. Anggoro, B. K. Hayes, & D. C. Ong (Eds.), Proceedings of the 45th Annual Meeting of the Cognitive Science Society (pp. 702–708). UC Merced.

Serko, D., Li, Y.-L., Swaboda, N., & Ruggeri, A. (2023). Preschoolers select the relevant information when looking for a hidden present. In M. Goldwater, F. K. Anggoro, B. K. Hayes, & D. C. Ong (Eds.), Proceedings of the 45th Annual Meeting of the Cognitive Science Society (pp. 1951–1957). UC Merced.

Serko, D., Vasil, N., & Ruggeri, A. (2023). The role of causal stability in children’s active exploration. In M. Goldwater, F. K. Anggoro, B. K. Hayes, & D. C. Ong (Eds.), Proceedings of the 45th Annual Meeting of the Cognitive Science Society (pp. 2186–2192). UC Merced.