Alexander Lingler
Short bio:
Alexander Lingler’s research focuses on modeling human cognition to develop domain- and task-independent attention management systems. His Ph.D. explores adaptive solutions to enhance user interaction and multitasking efficiency, including his contributions to the FWF project AITentive. Alexander earned a computer science degree from the Vienna University of Technology, specializing in machine learning, particularly reinforcement learning. His research bridges cognitive science, adaptive systems, and human-computer interaction to advance intelligent user interfaces.