Conference Paper (194)

2023
Conference Paper
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
2022
Conference Paper
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.
Conference Paper
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.
Conference Paper
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.
Conference Paper
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.
Conference Paper
Khajehnejad, A., Khajehnejad, M., Babaei, M., Gummadi, K., Weller, A., & Mirzasoleimanbarzi, B. (2022). CrossWalk: Fairness-enhanced node representation learning. In Proceedings of the 36th AAAI Conference on Artificial Intelligence (pp. 11963–11970). AAAI Press. https://doi.org/10.1609/aaai.v36i11.21454
Conference Paper
Omar, A., von Oertzen, T., & Augustin, T. (2022). Learning from categorical data subject to non-random misclassification and non-response under prior quasi-near-ignorance using an imprecise Dirichlet model. In D. Ciucci, I. Couso, J. Medina, D. Ślęzak, D. Petturiti, B. Bouchon-Meunier, & R. R. Yager (Eds.), Information processing and management of uncertainty in knowledge-based systems, 19th International Conference, IPMU 2022, Milan, Italy, July 11–15, 2022. Proceedings: Part II (pp. 532–544). Springer. https://doi.org/10.1007/978-3-031-08974-9_43
Conference Paper
Pernau, M. (2022). Gengo to kanjō - gengo wo koeru kanjō (Language and emotions - Emotions beyond language). In FINDAS International Conference Series (Vol. 7, pp. 5–15). Tokyo University / The Center for South Asian Studies (FINDAS).
Conference Paper
Pescetelli, N., Barkoczi, D., & Cebrian, M. (2022). Indirect causal influence of a single bot on opinion dynamics through a simple recommendation algorithm. In R. M. Benito, C. Cherifi, H. Cherifi, E. Moro, L. M. Rocha, & M. Sales-Pardo (Eds.), Complex networks & their applications X: Vol. 2. Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021 (pp. 28–41). Springer. https://doi.org/10.1007/978-3-030-93413-2_3
Conference Paper
Serko, D., Leonard, J., & Ruggeri, A. (2022). Developmental changes in children’s training strategies. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 44, pp. 3425–3431). Retrieved from https://escholarship.org/uc/item/5cz5n57d.
Conference Paper
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.
Conference Paper
Turner, T. D. (2022). There is no closure, no transcendence: Why music and trance in Algeria function as affective maintenance rather than "healing". In F. B. Baraldi (Ed.), Proceedings of The Healing and Emotional Power of Music and Dance (HELP-MD) Symposium, 20-21 May 2021, Lisbon, Portugal (pp. 29–33). Instituto de Etnomusicologia - Centro de Estudos em Música e Dança (INET-md), Faculty of Social and Human Sciences, NOVA University Lisbon. https://doi.org/10.5281/zenodo.6645159
2021
Conference Paper
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.
Conference Paper
Jung, C., Hong, I., Sáez-Trumper, D., Lee, D., Myung, J., Kim, D., Yun, J., Jung, W.-S., & Cha, M. (2021). Information flow on COVID-19 over Wikipedia: A case study of 11 languages. In WWW '21: Companion Proceedings of the Web Conference 2021. Ljubljana, Slovenia, April 19 - 23, 2021 (pp. 627–628). International World Wide Web Conferences Committee. https://doi.org/10.1145/3442442.3452352
Conference Paper
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.
2020
Conference Paper
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
Conference Paper
Ascone, L., Ney, K., Mostajeran, F., Steinicke, F., Moritz, S., Gallinat, J., & Kühn, S. (2020). Virtual reality for individuals with occasional paranoid thoughts. In CHI'20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. ACM. https://doi.org/10.1145/3334480.3382918
Conference Paper
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
Conference Paper
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.
Conference Paper
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
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