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Publications

Alongside the list of publications from members of DATALAB, some of our publications contain freely available code used for analyses that can be accessed from our DATALAB Github page.  

In some instances, data used in our research projects are personal and sensitive in nature or dependent upon data-access agreements with social media platforms. In these instances, extensive records and aggregated data are placed in the appendices or supplementary material of the publication and/or can be accessed in restricted ways as described in the publications.


Recent Publications


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Rocca, R., Pistilli, G., Maheshwari, K. & Fusaroli, R. (2024). Introducing ELLIPS: An Ethics-Centered Approach to Research on LLM-Based Inference of Psychiatric Conditions. In S. Das, B. P. Green, K. Varshney, M. Ganapini & A. Renda (Eds.), Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (Vol. 7, pp. 1243-1254). AAAI Press. https://doi.org/10.1609/aies.v7i1.31720
Darmois, E., Radocz, R., Malo, P., Presser, M. & Ziegler, S. (2024). IoT Brief History. In S. Ziegler & A. Skarmeta (Eds.), Springer Handbooks (pp. 3-31). Springer. https://doi.org/10.1007/978-3-031-39650-2_1
Aagaard, A., Presser, M., de Souza, C. A. & Rezac, F. (2024). IoT Business Models. In S. Ziegler, R. Radocz, A. Quesada Rodriguez & S. Nieves Matheu Garcia (Eds.), Springer Handbooks (pp. 963-985). Springer. https://doi.org/10.1007/978-3-031-39650-2_39
Woensdregt, M., Fusaroli, R., Rich, P., Modrák, M., Kolokolova, A., Wright, C. & Warlaumont, A. S. (2024). Lessons for theory from scientific domains where evidence is sparse or indirect. Computational Brain Behavior, 7(4), 588-607. Article e01470. https://doi.org/10.1007/s42113-024-00214-8
Andersen, K., Goveia Da Rocha, B., Devendorf, L., Vasconcelos, E., Jones, L., Posch, I., Reddy, A. V., Kelliher, A., Fuchsberger, V., Koefoed Hansen, L. & Sandry, E. (2024). Memoirs for the Future, Imaginations of the Past: Crafting Samplers for Intent and Commitment. In A. Vallgårda, L. Jönsson, J. Fritsch, S. Fdili Alaoui & C. A. Le Dantec (Eds.), DIS '24 Companion: Companion Publication of the 2024 ACM Designing Interactive Systems Conference (pp. 441-444). Association for Computing Machinery. https://doi.org/10.1145/3656156.3658406
Hostler, T. J., Poerio, G. L., Nader, C., Mank, S., Lin, A. C., Villena-Gonzalez, M., Lemera, Shares, S., Yoloma, Moongem, Plutzik, N., Ahuja, N. K., Baker, D. H., Bannister, S., Barratt, E. L., Bedwell, S. A., Billot, P. E., Blakey, E., Cardini, F. ... Zehetgrube, J. (2024). Research Priorities for Autonomous Sensory Meridian Response: An Interdisciplinary Delphi Study. Multisensory Research, 37(6-8), 499-528. https://doi.org/10.1163/22134808-bja10136
Lunding, R. S., Lunding, M. S., Feuchtner, T., Petersen, M. G., Grønbæk, K. & Suzuki, R. (2024). RoboVisAR: Immersive Authoring of Condition-based AR Robot Visualisations. In HRI '2024: Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (pp. 462-471). Association for Computing Machinery. https://doi.org/10.1145/3610977.3634972
Tommasel, A. & Assent, I. (2024). Semantic grounding of LLMs using knowledge graphs for query reformulation in medical information retrieval. In W. Ding, C.-T. Lu, F. Wang, L. Di, K. Wu, J. Huan, R. Nambiar, J. Li, F. Ilievski, R. Baeza-Yates & X. Hu (Eds.), 2024 IEEE International Conference on Big Data (BigData) (pp. 4048-4057). IEEE. https://doi.org/10.1109/BigData62323.2024.10826117, https://doi.org/10.1109/BigData62323.2024.10826117
Schreibman, S., Ping Huang, M. & Kuzman Šlogar, K. (2024). Social Justice in Digital Humanities. Interactive production, #dariahTeach. https://teach.dariah.eu/
Koch, A. K., Mønster, D. & Nafziger, J. (2024). Spillover effects of reminder nudges in complex environments. Proceedings of the National Academy of Sciences (PNAS), 121(17), e2322549121. Article e2322549121. https://doi.org/10.1073/pnas.2322549121
Frich, J. & Hansen, L. K. (2024). Teaching Affordances: Challenges and Mitigations when integrating the Mechanisms and Conditions framework in HCI. In EduCHI 2024 : Proceedings of the 6th EduCHI Symposium on HCI Education (pp. 1-8). Article 12 Association for Computing Machinery. https://doi.org/10.1145/3658619.3658631
Fusaroli, R., Cox, C. M. M., Weed, E., Fein, D. & Naigles, L. (2024). The Development of Turn-Taking Skills in Autistic and Typically Developing Children. Poster session presented at INSAR 2024, Melbourne, Victoria, Australia.
Lüchau, E. C., Olesen, F., Atherton, H., Søndergaard, J. & Assing Hvidt, E. (2024). The invisible work of video consultation use in Danish general practice: An Ethnographic Study. Digital Health, 10, 1-17. https://doi.org/10.1177/20552076241291333
Weed, E., Fusaroli, R. & Grossman, R. (2024). What's Up With Pitch Variation?. Poster session presented at Meeting on Language in Autism, Durham, United States.
Sun, A., Londono, J. J., Elbaum, B., Estrada, L., Lazo, R. J., Vitale, L., Villasanti, H. G., Fusaroli, R., Perry, L. K. & Messinger, D. S. (2024). Who Said What? An Automated Approach to Analyzing Speech in Preschool Classrooms.
Sun, A., Londono, J. J., Elbaum, B., Estrada, L., Lazo, R. J., Vitale, L., Villasanti, H. G., Fusaroli, R., Perry, L. K. & Messinger, D. S. (2024). Who Said what? An Automated Approach to Analyzing Speech in Preschool Classrooms. In 2024 IEEE International Conference on Development and Learning (ICDL) (pp. 1-8). IEEE. https://doi.org/10.1109/ICDL61372.2024.10644508
Draganov, A., Jørgensen, J., Scheel, K., Mottin, D., Assent, I., Berry, T. & Aslay, C. (2023). ActUp: Analyzing and Consolidating tSNE & UMAP. In Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23) (pp. 3651-3658). International Joint Conferences on Artificial Intelligence. https://www.ijcai.org/proceedings/2023/0406.pdf