My research focuses on how people solve complex tasks such as understanding language or processing visual information. My approach to understanding human cognition combines experimental techniques such eyetracking with computational modeling. Eyetracking makes it possible to build up a highly accurate picture of where people look when they read a sentence, speak a word, or view a visual scene. The data generated by eyetracking experiments allows us to build computational models that simulate the behavior we want to study. Such models predict, for instance, which words humans fixate when they read a text, or which objects they focus on when searching a visual scene.
- If you want to work on large-scale cognitive modeling, for instance of language processing or visual cognition, consider applying to our Data Science PhD Programme.
- There's an article in the New Scientist about our work on scan patterns during sentence production: Where you Look Predicts what're Going to Say.