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.

AITentive: AI-supported Attentive User Interfaces (FWF)

Human attention is a valuable resource, yet unlike the increasing power of the tech competing for it, attention is limited. Some view our “always-on” culture as akin to addiction, driven by platforms trying to maximize screen time. Today, many people juggle multiple conversations and media, a behavior intensified by digital notifications that constantly interrupt. This […]

Intelligent User Interfaces