Publications

Highlighted publications

Operational Criteria of Hybrid Intelligence for Generative AI Virtual Assistants

Sherson J, Rafner J, Büyükgüzel S. HHAI 2024: Hybrid Human AI Systems for the Social Good. Frontiers in Artificial Intelligence and Applications. 2024;386:475-477. doi: 10.3233/FAIA240229.

Facilitating Human Feedback for GenAI Prompt Optimization

Sherson J, Vinchon F. HHAI 2024: Hybrid Human AI Systems for the Social Good. Frontiers in Artificial Intelligence and Applications. 2024;386:478-480. doi: 10.3233/FAIA240230.

Inequality and fairness with heterogeneous endowments

Tsvetkova M, Vuculescu O, Dinev P, Sherson J, Wagner C. Inequality and fairness with heterogeneous endowments. PLOS ONE. 2022;17(10). doi: 10.1371/journal.pone.0276864.

A Hybrid Intelligent Change Management Approach to Generative AI Adoption

Sherson J. HHAI 2024: Hybrid Human AI Systems for the Social Good. Frontiers in Artificial Intelligence and Applications. 2024;386:472-474. doi: 10.3233/FAIA240228.

Creativity in the age of generative AI

Rafner J, Beaty RE, Kaufman JC, Lubart T, Sherson J. Creativity in the age of generative AI. Nature Human Behaviour. 2023;7:1836-1838. doi: 10.1038/s41562-023-01751-1.

Spillover effects of reminder nudges in complex environments

Koch AK, Mønster D, Nafziger J. Spillover effects of reminder nudges in complex environments. Proc Natl Acad Sci U S A. 2024;121(17). doi: 10.1073/pnas.2322549121.


Complete list of publications

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Beck, S., Bergenholtz, C., Bogers, M., Brasseur, T.-M., Conradsen, M. L., Di Marco , D., Distel, A. P., Dobusch , L., Dörler, D., Effert, A., Fecher, B., Filiou, D., Frederiksen, L., Gillier, T., Grimpe, C., Gruber, M., Haeussler, C., Heigl, F., Hoisl, K. ... Xu, S. M. (2022). The Open Innovation in Science research field: a collaborative conceptualisation approach. Industry and Innovation, 29(2), 136-185. https://doi.org/10.1080/13662716.2020.1792274
Vinchon, F., Rafner, J., Sherson, J., Botella, M. & Lubart, T. (2025). The Next-GenAI-Rtists: A New Generation of Artists with Generative Tools. In V. Geroimenko (Ed.), Human-Computer Creativity: Generative AI in Education, Art, and Healthcare (pp. 203-216). Springer. https://doi.org/10.1007/978-3-031-86551-0_11
Cohen, G., Sherson, J., Rafner, J. & Kenett, Y. N. (2026). The Martian Game: Exploring Open-Ended Question-Asking via an Online Gaming Environment. In C. Shah, R. W. White, A. Fourney, C. T. Lopes & J. Trippas (Eds.), CHIIR 2026 - Proceedings of the 2026 Conference on Human Information Interaction and Retrieval (pp. 437-442). Association for Computing Machinery. https://doi.org/10.1145/3786304.3787878
Davis, N., Sherson, J. & Rafner, J. (2025). The Co-Creative Design Framework for Hybrid Intelligence. In C and C 2025 - Proceedings of the 2025 Conference on Creativity and Cognition (pp. 560-572). Association for Computing Machinery. https://doi.org/10.1145/3698061.3726934
Fernholz, T., Krauter, H., Jensen, K., Sherson, J., Sørensen, A. S. & Polzik, E. S. (2008). Spin Squeezing of Atomic Ensembles via Nuclear-Electronic Spin Entanglement. Physical Review Letters, 101(073601). https://doi.org/10.1103/PhysRevLett.101.073601
Weitenberg, C., Endres, M., Sherson, J., Cheneau, M., Schauss, P., Fukuhara, T., Bloch, I. & Kuhr, S. (2011). Single-spin addressing in an atomic Mott insulator. Nature, 471, 319-324. https://doi.org/10.1038/nature09827
Sherson, J., Weitenberg, C., Andres, M., Cheneau, M., Bloch, I. & Kuhr, S. (2010). Single-atom-resolved fluorescence imaging of an atomic Mott insulator. Nature, 467(7311), 68-72. https://doi.org/10.1038/nature09378
Magnussen, R., Hansen, S. D., Planke, T. & Sherson, J. (2013). Scientific discovery games for authentic science education. In Proceedings of the 7th European Conference on Game-Based Learning (pp. 344-352). Academic Conferences.
Rafner, J., Gajdacz, M., Kragh, G., Hjorth, A., Gander, A., Palfi, B., Berditchevskaia, A., Grey, F., Gal, K., Segal, A., Walmsley, M., Miller, J. A., Dellerman, D., Haklay, M., Michelucci, P. & Sherson, J. (2021). Revisiting Citizen Science Through the Lens of Hybrid Intelligence. ArXiv.