Publications

RSS Articles

  • Don’t Get Too Excited - Eliciting Emotions in LLMs
    Don’t Get Too Excited - Eliciting Emotions in LLMsFazzi, G. F., Skoven Hinge, J., Heinrich, S. & Burelli, P., 2025, Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 9 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
  • Exploring Deep Learning Models for EEG Neural Decoding
    Exploring Deep Learning Models for EEG Neural DecodingDixen, L., Heinrich, S. & Burelli, P., 2025, International Symposium on Artificial Intelligence and Neuroscience. Springer, p. 162-175 13 p. (Lecture Notes in Computer Science).Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
  • Children’s expressed emotions during playful learning games
    Children’s expressed emotions during playful learning gamesVolden, T. V. S. & Burelli, P., 7 Oct 2024, European Conference on Game Based Learning. Vol. 18. 9 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
  • Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies
    Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow PoliciesRietz, F., Schaffernicht, E., Heinrich, S. & Stork, J. A., 17 May 2024, Proceedings of the ICRA2024 Workshop on Human-aligned Reinforcement Learning for Autonomous Agents and Robots. Vienna, AT, 7 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
  • Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning
    Prioritized Soft Q-Decomposition for Lexicographic Reinforcement LearningRietz, F., Heinrich, S., Schaffernicht, E. & Stork, J. A., 8 May 2024, The Twelfth International Conference on Learning Representations (ICLR2023). Vienna, ATResearch output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
  • Playing With Neuroscience: Past, Present and Future of Neuroimaging and Games
    Playing With Neuroscience: Past, Present and Future of Neuroimaging and GamesBurelli, P. & Dixen, L., 2024, IEEE Conference on Games 2024. IEEEResearch output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
  • Modeling Face Emotion Perception from Naturalistic Face Viewing: Insights from Fixational Events and Gaze Strategies
    Modeling Face Emotion Perception from Naturalistic Face Viewing: Insights from Fixational Events and Gaze StrategiesSeikavandi, M. J., Barrett, M. J. & Burelli, P., 2024, Recent Advances in Deep Learning Applications: New Techniques and Practical Examples. Taylor & Francis, Vol. 1. Research output: Conference Article in Proceeding or Book/Report chapter › Book chapter › Research › […]
  • Introducing AI Experience: Games UX in the Age of Generative AI
    Introducing AI Experience: Games UX in the Age of Generative AIDrachen, A., Burelli, P., Kallabis, L. & Melhart, D., 2024, Report from Dagstuhl Seminar 24261.Research output: Conference Article in Proceeding or Book/Report chapter › Report chapter › Research
  • Small, Safe LLMs for In-Game Generation
    Small, Safe LLMs for In-Game GenerationVeale, T., Burelli, P., Hoover, A. K., Liapis, A., Mountain, G. & Skubch, H., 2024, Report from Dagstuhl Seminar 24261. p. 206-208 Research output: Conference Article in Proceeding or Book/Report chapter › Report chapter › Research
  • Operationalising Difficulty in Puzzle Games
    Operationalising Difficulty in Puzzle GamesKristensen, J. T., 2022, IT-Universitetet i København. 128 p.Research output: Theses › PhD thesis

Datasets

  • EEG Study of the Uncanny Valley Phenomenon
    Hristova, Mihaela; Dixen, Laurits; Burelli, Paolo
    This dataset contains the EEG recordings of 30 participants in a study conducted by the IT University of Copenhagen brAIn lab, designed to investigate the origins of the Uncanny Valley phenomenon. The study is a follow-up to our pilot study on the Uncanny Valley, also available on Zenodo at https://zenodo.org/records/7948158. The dataset contains the images that have…
  • EEG Recordings of Exposure to Unrealistic, Semi-realistic and Realistic Character Faces – A Pilot Study
    Gorlini, Chiara; Dixen, Laurits; Burelli, Paolo
    This dataset contains the recordings of the EEG signal collected in the 2023 study “Investigating the Uncanny Valley Phenomenon Through the Temporal Dynamics of Neural Responses to Virtual Characters” published in the IEEE Conference on Games proceedings. The experimental procedure and the analysis scripts can be found at https://github.com/itubrainlab/uncanny-…