Joost Broekens
Associate Professor
- Name
- Dr.ir. D.J. Broekens
- Telephone
- +31 71 527 7139
- d.j.broekens@liacs.leidenuniv.nl
Joost Broekens studies Artificial Intelligence, in particular Affective Computing and the interaction between humans and socially interactive agents. He is the President Elect of the Association for the Advancement of Affective Computing (AAAC), which is the main international organisation in his research field. He is an associate professor and head of the Affective Computing and Human Robot Interaction group at the Leiden Institute of Advanced Computer Science (LIACS) of Leiden University. Besides this, Joost is a member of of the interdisciplinary research programme Society, Artificial Intelligence and Life Sciences (SAILS). Finally, he is also co-founder and CTO of Interactive Robotics, enabling students from any age to learn with and from social robots.
Joost Broekens studies Artificial Intelligence, in particular Affective Computing and the interaction between humans and socially interactive agents. He is the President Elect of the Association for the Advancement of Affective Computing (AAAC), which is the main international organisation in his research field. He is an associate professor and head of the Affective Computing and Human Robot Interaction group at the Leiden Institute of Advanced Computer Science (LIACS) of Leiden University. Besides this, he is a member of the interdisciplinary research programme Society, Artificial Intelligence and Life Sciences (SAILS). Finally, he is also co-founder and CTO of Interactive Robotics, enabling students from any age to learn with and from social robots.
His research interests include computational modelling of emotions in reinforcement learning, computational models of cognitive appraisal, emotion psychology, emotions in computer games, explainability of AI and transparency, human perception and effects of emotions expressed by virtual agents and robots, emotional and affective self-report, human-robot and human-agent interaction, and educational humanoid robots. His current research focuses on human-robot interaction, and Reinforcement Learning as a formal model for emotional appraisal.
The personal website of Joost Broekens: www.joostbroekens.com
Associate Professor
- Science
- Leiden Inst of Advanced Computer Science
- Rijgersberg-Peters R., Vught W. van, Broekens D.J. & Neerincx M.A. (2024), Goal ontology for personalized learning and its implementation in child's health self-management support, IEEE Transactions on Learning Technologies 17: 903-918.
- Mast D., Broekens D.J., Vries S. de & Verbeek F.J. (2023), Participation patterns of interactive playful museum exhibits: evaluating the participant journey map through situated observations. Byrne D., Martelaro N., Boucher A., Chatting D., Fdili Alaoui S., Fox S., Nicenboim I. & MacArthur C. (Eds.), Proceedings of the ACM designing interactive systems conference. ACM Designing Interactive Systems Conference 10 July 2023 - 14 July 2023: Association for Computing Machinery. 1861-1885.
- Dudzik B., Hung H., Neerincx M. & Broekens D.J. (2023), Collecting mementos: a multimodal dataset for context-sensitive modeling of affect and memory processing in responses to videos, IEEE Transactions on Affective Computing 14(2): 1249-1266.
- Moerland T.M., Broekens D.J., Plaat A. & Jonker C.M. (2023), Model-based reinforcement learning: a survey, Foundations and Trends in Machine Learning 16(1): 1-118.
- Moerland T.M., Broekens D.J., Plaat A. & Jonker C.M. (2022), A unifying framework for reinforcement learning and planning, Frontiers in Artificial Intelligence 5: 908353.
- Mast D., Vries S.I. de, Broekens D.J. & Verbeek F.J. (2021), The participant journey map: understanding the design of interactive augmented play spaces, Frontiers in Computer Science 3: 674132.
- Mast D., Vries S. de, Broekens D.J. & Verbeek F.J. (2020), The importance of the peak-end rule for repeated visits to Augmented Play Spaces. PERSUASIVE 2020 - 15th International conference on Persuasive Technology, Aalborg. 20 April 2020 - 23 April 2020. [conference poster].
- Broekens D.J., Kosters W.A. & Verbeek F.J. (2007), On affect and self-adaptation: potential benefits of valence-controlled action-selection. Mira J. & Alvarez J.R. (Eds.), Bio-inspired modeling of cognitive tasks. International Work-Conference on the Interplay Between Natural and Artificial Computation IWINAC 2007: Bio-inspired Modeling of Cognitive Tasks 18 June 2007 - 21 June 2007. Lecture Notes in Computer Science no. 4527. Berlin/Heidelberg: Springer. 357-366.
- Broekens D.J. (18 December 2007), Affect and Learning: a computational analysis (Dissertatie. Leiden Institute of Advanced Computer Science (LIACS), Faculty of Science, Leiden University). Supervisor(s) and Co-supervisor(s): Kok J.N., Verbeek F.J & Kosters W.A.
- Broekens D.J., Kosters W.A. & Verbeek F.J. (2007), Affect, anticipation, and adaptation: affect-controlled selection of anticipatory simulation in artificial adaptive agents, Adaptive Behavior 15(4): 397-422.
- Broekens D.J. & Verbeek F.J. (2005), Simulation, emotion and information processing: computational investigations of the regulative role of pleasure in adaptive behavior modeling natural action selection, Proceedings of the workshop on modeling natural action selection. : AISB Press. 166-173.
- Wetenschappelijk adviseur
- Co-founder