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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Pedersen, M. K., Díaz, C. M. C., Alba-Marrugo, M. A., Amidi, A., Basaiawmoit, R. V., Bergenholtz, C., Christiansen, M. H., Gajdacz, M., Hertwig, R., Ishkhanyan, B., Klyver, K., Ladegaard, N., Mathiasen, K., Parsons, C., Petersen, M. B., Rafner, J., Villadsen, A. R., Wallentin, M., Sherson, J. F. & players, S. L. (2020). Measuring Cognitive Abilities in the Wild: Validating a Population-Scale Game-Based Cognitive Assessment. arxiv.org.

Pedersen, M. K., Díaz, C. M. C., Wang, Q. J., Alba-Marrugo, M. A., Amidi, A., Basaiawmoit, R. V., Bergenholtz, C., Christiansen, M. H., Gajdacz, M., Hertwig, R., Ishkhanyan, B., Klyver, K., Ladegaard, N., Mathiasen, K., Parsons, C., Rafner, J., Villadsen, A. R., Wallentin, M., Zana, B. & Sherson, J. F. (2023). Measuring Cognitive Abilities in the Wild: Validating a Population-Scale Game-Based Cognitive Assessment. Cognitive Science, 47(6), Article e13308. https://doi.org/10.1111/cogs.13308

Pedersen, M. K., Vuculescu, O., Sherson, J. & Bergenholtz, C. (2023). Help – I need somebody? Comparing Groups’ and Individuals’ Search Behavior Across Problem Complexity. Academy of Management. Annual Meeting Proceedings, 2023(1). https://doi.org/10.5465/AMPROC.2023.191bp

Patra, A., Buchmann, L. F., Motzoi, F., Mølmer, K., Sherson, J. & Nielsen, A. E. B. (2022). Single-shot determination of quantum phases via continuous measurements. Physical Review A, 106(3), Article 032215. https://doi.org/10.1103/PhysRevA.106.032215

Park, S. J., Andersen, H. K., Mai, S., Arlt, J. & Sherson, J. (2012). Dynamical control of matter-wave splitting using time-dependent optical lattices. Physical Review A, 85(3), 033626. https://doi.org/10.1103/PhysRevA.85.033626

Mortensen, H. L., Sørensen, J. J. W. H., Mølmer, K. & Sherson, J. (2018). Fast state transfer in a Λ-system: a shortcut-to-adiabaticity approach to robust and resource optimized control. New Journal of Physics, 20(2), Article 025009. https://doi.org/10.1088/1367-2630/aaac8a

Mønster, D., Fusaroli, R., Tylén, K., Roepstorff, A. & Sherson, J. (2016). Inferring causality from noisy time series data: A test of Convergent Cross-Mapping. In V. Méndez Muñoz, O. Gusikhin & V. Chang (Eds.), COMPLEXIS 2016 - Proceedings of the 1st International Conference on Complex Information Systems (pp. 48-56). SCITEPRESS Digital Library. https://doi.org/10.5220/0005932600480056

Mønster, D., Fusaroli, R., Tylén, K., Roepstorff, A. & Sherson, J. (2017). Causal inference from noisy time-series data — testing the Convergent Cross-Mapping algorithm in the presence of noise and external influence. Future Generation Computer Systems - The International Journal of eScience, 73(August), 52-62. https://doi.org/10.1016/j.future.2016.12.009

Michelucci, P., Onac, L., Couch, J., Sherson, J., Rafner, J., Bekins, S. H., Solovyev, R. & Brodt, K. (2022). Exploring CrowdBots: a new evolutionary pathway for citizen science projects. Proceedings of Science, 418, Article 122. https://doi.org/10.22323/1.418.0122

Mao, Y., Rafner, J., Wang, Y. & Sherson, J. (2023). A Hybrid Intelligence Approach to Training Generative Design Assistants: Partnership Between Human Experts and AI Enhanced Co-Creative Tools. In P. Lukowicz, S. Mayer, J. Koch, J. Shawe-Taylor & I. Tiddi (Eds.), HHAI 2023: Augmenting Human Intellect (pp. 108-123). IOS Press. https://doi.org/10.3233/FAIA230078

Mao, Y., Rafner, J. F., Wang, Y. & Sherson, J. (2024). HI-TAM, a hybrid intelligence framework for training and adoption of generative design assistants. Frontiers in Computer Science, 6, Article 1460381. https://doi.org/10.3389/fcomp.2024.1460381

Manna, S., Duncan, C. W., Weidner, C. A., Sherson, J. F. & Nielsen, A. E. B. (2022). Anyon braiding on a fractal lattice with a local Hamiltonian. Physical Review A, 105(2), Article L021302. https://doi.org/10.1103/PhysRevA.105.L021302

Maindal, N., Poulsen, S. H., Oddershede, K., Sejerkilde, M., Breiner Pedersen, S., Haghju, M., Sinclair, E., Harrits, A., Kirk, U. B., Sherson, J. & Kragh, G. (2023). Co-creating science communication and research with young people about their mental health during the COVID-19 pandemic. Poster session presented at Citizen Science for Health Conference 2023, Enschede, Netherlands. https://doi.org/10.5281/zenodo.10040092

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.

Magnussen, R., Hansen, S. D., Planke, T. & Sherson, J. F. (2014). Games as a platform for student participation in authentic scientific research. Electronic Journal of E-Learning, 12(3), 259-270.

Luchini, S., Pronchick, J., Ceh, S., Kaufman, J., Johnson, D., Rafner, J. F. & Beaty, R. (2025). The Roles of Idea Generation and Elaboration in Human-AI Collaborative Creativity. https://www.researchgate.net/profile/Simone-Luchini/publication/392122488_The_Roles_of_Idea_Generation_and_Elaboration_in_Human-AI_Collaborative_Creativity/links/684412196a754f72b5910290/The-Roles-of-Idea-Generation-and-Elaboration-in-Human-AI-Collaborative-Creativity.pdf

Lieberoth, A., Pedersen, M. K., Marin, A. C., Planke, T. & Sherson, J. (2014). Getting humans to do quantum optimization: user acquisition, engagement and early results from the citizen cyberscience game Quantum Moves. Human Computation, 1(2), 219-244. https://doi.org/10.15346/hc.v1i2.11

Lieberoth, A., Pedersen, M. K. & Sherson, J. (2015). Play or science? a study of learning and framing in crowdscience. Well Played, 4(2), 30-55.

Li, X., Pecak, D., Sowinski, T., Sherson, J. & Nielsen, A. E. B. (2018). Global optimization for quantum dynamics of few-fermion systems. Physical Review A, 97(3), Article 033602. https://doi.org/10.1103/PhysRevA.97.033602

Laustsen, J. S., Heck, R., Elíasson, O., Arlt, J. J., Sherson, J. & Weidner, C. A. (2021). Remote multi‑user control of the production of Bose–Einstein condensates. Applied Physics B: Lasers and Optics, 127(9), Article 125. https://doi.org/10.48550/arXiv.2101.11398, https://doi.org/10.1007/s00340-021-07671-0

Displaying results 81 to 100 out of 153

Revised 17.03.2026

Department of Management

Center for Hybrid Intelligence