AIM: Multimodal Intent Communication of Autonomous Systems

As artificial intelligence, robotics, and autonomous systems become part of our daily lives, its essential for people to understand and trust these systems. Our project focuses on how autonomous systems can effectively communicate their intentions to humans, whether they`re pedestrians interacting with self-driving cars, workers cooperating with robots, or users sharing control with AI tools. By studying different ways these systems can signal their intentionsusing visual, auditory, or physical cueswe aim to create designs that make autonomous systems safer, more trustworthy, and easier to use. This includes figuring out what information should be shared, when its most helpful, and how it should be delivered. Our goal is to develop a comprehensive set of guidelines and tools to help designers and researchers build smarter, more user-friendly autonomous systems that fit seamlessly into everyday life. This is a joined project of TU Wien and University of Munich (LMU). The Artifact-Based Computing & User Research Group at TU Wien operates a Prototyping and Media Interaction Lab, including specialized equipment such as a bicycle simulator. The Media Informatics Group at LMU offers extensive facilities for research in human- computer interaction, media technology, and machine learning. Unique resources include treadmills for mobility studies, robotics systems like the Kinova cobot, and medical-grade equipment for physiological measurements (EEG, ECG, EMG). Together, TU Wien and LMU bring complementary expertise and facilities to support innovative research in intent communication, autonomous systems, and user-centered design. This research was funded in whole or in part by the Austrian Science Fund (FWF) 10.55776/I