See Papers for links Aleksi Ikkala, Florian Fischer, Markus Klar, Miroslav Bachinski, Arthur Fleig, Andrew Howes, Perttu Hämäläinen, Jörg Müller, Roderick Murray-Smith, and Antti Oulasvirta. Breathing Life Into Biomechanical User Models. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology, UIST ’22, New York, NY, USA, 2022. Association for Computing…

Computational Rationality as a Theory of Interaction   Paper: https://dl.acm.org/doi/10.1145/3491102.3517739   Video: https://www.youtube.com/watch?v=RoqGbr-3ffE   Rediscovering Affordance: A Reinforcement Learning Perspective   Paper: https://dl.acm.org/doi/10.1145/3491102.3501992   Video: https://www.youtube.com/watch?v=VNAcp-iC9tQ   Investigating Positive and Negative Qualities of Human-in-the-Loop Optimization for Designing Interaction Techniques   Paper: https://dl.acm.org/doi/10.1145/3491102.3501850   Video https://www.youtube.com/watch?v=T8ijVKkajwg  

https://cixschool2022.cs.uni-saarland.de   The 6th Summer School on Computational Interaction will be held at Saarland University in Saarbrücken, Germany. It takes place between the 13th June and the 18th June 2022 (Monday through Saturday) and is organized by the Saarland Informatics Campus and the Max-Planck Institute for Informatics.   This summer school teaches HCI students, researchers, and industry professionals computational methods…

;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px”>   Deep Reinforcement Learning for Multi-Agent Interaction Our group specialises in developing machine learning algorithms for autonomous systems control in multi-agent systems, with a particular focus on deep reinforcement learning. Questions we tackle include: How can multiple agents learn together to solve a given task in a scalable and robust way?…