Research output per year
Research output per year
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Dive into the research topics where L. Cavalcante Siebert is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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ARMCHAIR: Integrated Inverse Reinforcement Learning and Model Predictive Control for Human-Robot Collaboration
Caregnato-Neto, A., Siebert, L. C., Zgonnikov, A., Maximo, M. R. O. A. & Afonso, R. J. M., 2025, In: International Journal of Social Robotics. 17 p.Research output: Contribution to journal › Article › Scientific › peer-review
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Dramatic Things: Investigating Value Conflicts in Smart Home through Enactment and Co-speculation
Cila, N., Lupetti, M. L., Cavalcante Siebert, L. & Van Grunsven, J., 2025, CHI 2025 - Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. New York: ACM, 17 p. 939Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile15 Downloads (Pure) -
Is Meaningful Human Control Over Personalised AI Assistants Possible? Ethical Design Requirements for The New Generation of Artificially Intelligent Agents
Kuilman, S. K., Nyholm, S., Buijsman, S. N. R. & Cavalcante Siebert, L., 2025, In: Philosophy & Technology. 38, 4, 20 p., 148.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile5 Downloads (Pure) -
Leveraging Large Language Models to Identify the Values Behind Arguments
Senthilkumar, R. A., Homayounirad, A. & Siebert, L. C., 2025, Value Engineering in Artificial Intelligence - 2nd International Workshop, VALE 2024, Revised Selected Papers. Osman, N. & Steels, L. (eds.). Springer, p. 87-103 17 p. (Lecture Notes in Computer Science; vol. 15356 LNAI).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile15 Downloads (Pure) -
Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems
Liscio, E., Siebert, L. C., Jonker, C. M. & Murukannaiah, P. K., 2025, In: Journal of Artificial Intelligence Research. 82, p. 819-850 32 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile15 Downloads (Pure)
Datasets
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Axies: Identifying and Evaluating Context Specific Values - supplemental material
Liscio, E. (Creator), van der Meer, M. T. (Creator), Cavalcante Siebert, L. (Creator), Jonker, C. M. (Creator), Mouter, N. (Creator) & Murukannaiah, P. K. (Creator), TU Delft - 4TU.ResearchData, 5 Feb 2021
DOI: 10.4121/13705423
Dataset/Software: Dataset
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Data for the study: "Mind the responsibility gap: the control ability of automated car drivers does not impact their perceived responsibility"
Beckers, N. (Creator), Cavalcante Siebert, L. (Creator), Bruijnes, M. (Creator), Jonker, C. M. (Creator) & Abbink, D. A. (Creator), TU Delft - 4TU.ResearchData, 22 Sept 2021
DOI: 10.4121/16652056
Dataset/Software: Dataset
Press/Media
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Winners Best AI-related Poster & Advice for PhDs
M.T. Sekwenz, Z. Osika, U. Khurana, E. Liscio, J.A. Garzón Díaz, J. Yang, M. Sand, S. Khademi, L. Cavalcante Siebert, A. Zgonnikov, F. Mostafavi, Vera van der Burg, S. Du & Carolina Centeio Jorge
30/06/25
1 item of Media coverage
Press/Media: Public Engagement