Steeven Villa
Steeven Villa is a Ph.D. student in human-computer interaction at LMU Munich, where he studies the limits of human augmentation. Previously, he researched how to create realistic haptic sensations in VR and AR using wearable devices at the Rainbow Team from INRIA Rennes. He has also studied mid-air ultrasound haptics, computer graphics, and the Universidade Federal Rio Grande do Sul. His research involves conceptualizing and developing novel technologies to enhance human natural cognitive, motor, and sensory skills and evaluating the societal and behavioral implications of such augmentation technologies.
Robin Welsch
Robin Welsch is an assistant professor at Aalto University, FI, researching human-computer interaction to improve theories and methods in engineering psychology. His research interests include AR/VR, artificial intelligence, and human augmentation. Before joining Aalto University, he was an interim professor of General Psychology and Human Factors at TU Chemnitz, GER, worked as a postdoctoral researcher in the Human-Centered Ubiquitous Media group at LMU Munich, GER, and was a visiting scientist at VU Amsterdam, NL. He received his PhD in experimental psychology from the University of Mainz, GER, in 2020.
Alena Denisova
Alena Denisova is a Lecturer (Assistant Professor) at the University of York, UK. She is actively involved in collaborative and interdisciplinary projects that involve conceptualizing and measuring the user experience of video games and designing and building educational and persuasive interactive media. Her research explores the role of the `placebo effect’ of technology in shaping player experiences, perceived challenge and uncertainty in video games, and, more recently, emotionally impactful player experiences – understanding how these experiences are shaped with the view to inform the design of games that promote these experiences.
Thomas Kosch
Thomas Kosch, professor of Human-Computer Interaction at the Humboldt University of Berlin, focuses on physiological interaction, human-AI interaction, intelligent adaptive interfaces, and extended reality. He designs and assesses intelligent user interfaces that interpret and respond to human emotions, mental workload, and intentions, aiming to provide a seamless and personalized experience through advanced machine-learning techniques. His goal is to augment humans by combining human flexibility with machine efficiency. In this context, he explores the challenges of integrating AI across domains, investigating ethical and social implications, and actively seeks ways to enhance user interfaces by leveraging machine learning for adaptive and user-centric experiences.