We study methods and theories that help make computers easier and more enjoyable to use.
The group investigates computational methods for generation and adaptation of user interfaces. Application areas range from classic UIs like keyboards, menus, buttons, and web pages to novel input methods like gestural interaction. Our research includes mathematical and computational modelling of interactive behavior — including human capacities like perception, attention, learning, experience, and motor control — and relevant algorithmic methods such as optimization and machine learning.
Computational and model-based approaches to user interface design and adaptation. In model-driven UI optimization, an optimizer utilizes predictive models of human perception, behavior, and experience to anticipate users' responses to computer-generated designs. Optimization can be used to generate design ideas, solve hard design problems, facilitate creativity in design, and automate design adaptation. I am leading an ERC-funded project COMPUTED on this topic.
I contribute to the new Finnish Center for Artificial Intelligence (FCAI), a consortium between University of Helsinki and Aalto University. FCAI works towards the next generation of AI that is interactive, dependable, and data-efficient. It aims to boost and extend AI research and its applications by bringing together universities, industrial actors and the public sector. We want to achieve societal impact by generating business and solutions that will have world-wide positive effects on the economy and the well-being of people.
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