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max planck institut
informatik
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Oulasvirta, Antti

Antti Oulasvirta, PhD

Max-Planck-Institut für Informatik
Department 4: Graphics
Cluster of Excellence on Multimodal Computing and Interaction
Campus E1 7, Room 2.03
66123 Saarbrücken
Germany

Email: Get my email address via email

Short Bio: Antti Oulasvirta is a Senior Researcher at the Max Planck Institute for Informatics and the Cluster of Excellence on Multimodal Computing and Interaction, where he leads the Human-Computer Interaction group. He received his doctorate in Cognitive Science from the University of Helsinki in 2006, after which he was a Fulbright Scholar at the School of Information in UC Berkeley in 2007-2008 and a Senior Researcher at HIIT in Finland in 2008-2011. During his postgraduate studies in 2002-2003, he was an exchange student at UC Berkeley's Neuropsychology Lab and did an internship at T-Labs in Berlin in 2006. Dr. Oulasvirta is an associate editor of International Journal of Human-Computer Studies and Personal and Ubiquitous Computing, and he frequently serves in the paper committees of HCI conferences, including the ACM SIGCHI Conference on Human Factors in Computing Systems. He was awarded the Best Paper Award at CHI in 2011, the Best Paper Nomination at CHI in 2008, 2009, 2013, and 2014, the Best Note Award in 2011 at MobileHCI, and the Most Influential Paper Award in 2013 at MobileHCI.

I am starting as an Associate Professor in Aalto University in March 2014. Please see my new homepage.


Research Interests


Recent technological advances have vastly expanded the means for constructing user interfaces, but we still see limited progress in overcoming the traditional interfaces like the Qwerty layout and the mouse. My mission is to identify and exploit optima of human-computer performance. The scientific approach is based on the formulation of interface design as an optimization problem, information theoretical measurement of sensorimotor performance, predictive modeling of user performance, and computational search for interface designs that maximize performance. Whereas previous work in human-computer interaction has been largely based on trial and error, this approach allows aggressive exploration of design spaces. The outcomes are demonstrated as novel user interfaces and variants of existing interfaces. Please visit our group page for more information.


Recent Publications 2013-2014


Complete publication list 2002-2014


Previous Positions



Education



PhD Supervision



Misc