Alexander Lingler is a researcher at the University of Applied Sciences Upper Austria (Campus Hagenberg). His Ph.D. focuses  n human cognition modeling and attention management systems
to develop and train domain and task-independent Attentive User Interfaces (AUI). He has studied computer science at the Vienna University
of Technology and focused on machine learning, especially reinforcement learning.

Dinara Talypova is a PhD student and associate researcher at the University of Applied Sciences Upper Austria (Campus Hagenberg). Her research interests cover the topics of human interaction with automated systems. She is interested in how intelligent technologies can support and empower individuals. She has a background in Cognitive Science (University of Vienna), focusing on computer-mediated communications.

Fiona Draxler is an HCI researcher at LMU Munich. Her Ph.D. work focused on the learner-centered design of context-aware ubiquitous learning technologies, including automatically generating
personalized learning opportunities and integrating task resumption cues. She has also investigated user perspectives in interacting with large language models for education and other tasks. She is an active member of the HCI community, with publications at venues such as ACM CHI, IUI, and DIS. She serves as Short Paper Chair at MuC’23 and as a program committee member for conferences, including MUM’22 and ’23 and MuC’21–23.

Christina Schneegass is an assistant professor for Cognition & Design at Delft University of Technology. Her research aims to incorporate users’ cognitive processes into the design and evaluation of technology to empower users in their increasingly complex  relationship with technology. This specifically includes the design
of cues that support memory and task resumption during learning tasks and beyond. Christina will lead a workshop on personal informatics at MobileHCI’23 and is involved in the HCI community (e.g., MuC’23 Program Chair, IoT’22 Local Chair). Her publications span numerous HCI venues, including ACM CHI, IUI, IMWUT, and
Augmented Humans.

Tilman Dingler is an Associate Professor at Delft University of Technology. In his research, he investigates the notion of cognition-aware
systems, i.e., systems that sense, moderate, and adapt to the user’s cognitive states. Tilman designs and builds technologies that support users’ information-processing capabilities.

Philipp Wintersberger is a Professor of Interactive Systems at the University of Applied Sciences Upper Austria (Campus Hagenberg). His research addresses human-machine cooperation in safety-critical AI-driven systems. He has (co)authored many publications published at major journals and conferences (such as ACM CHI, ACM,  AutomotiveUI, IEEE IV, Human Factors), and his contributions have won several awards. Further, he is a member of the ACM AutomotiveUI steering committee, has contributed to HCI conferences in various roles in the past (Technical Program Chair AutomotiveUI’21, Workshop Chair MuC’21, Diversity and Inclusion Chair MuC’22), and is one of the main organizers of the CHI workshop on Explainable Artificial Intelligence (XAI). He leads
a group of researchers and Ph.D. students working on human-AI cooperation in multiple FWF and FFG-funded projects.