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| Antti Oulasvirta | |
|---|---|
| Name | Antti Oulasvirta |
| Nationality | Finnish |
| Fields | Human–computer interaction; Cognitive psychology; Computer science |
| Workplaces | Aalto University; Max Planck Institute for Informatics; Carnegie Mellon University; University of Helsinki |
| Alma mater | University of Helsinki; Aalto University |
| Known for | Research on input devices; Mobile interaction; Expertise; Human performance |
Antti Oulasvirta is a Finnish researcher in Human–computer interaction and cognitive modeling whose work connects psychological theory with interactive system design. He has held positions at European and North American institutions and contributed to studies on input modalities, mobile behavior, expertise, and performance modeling. His publications span journals and conferences such as CHI, UIST, TOCHI, and Nature Human Behaviour and have influenced research communities across Computer Science and Cognitive Science.
Oulasvirta completed undergraduate and graduate studies in Finland, obtaining degrees from the University of Helsinki and Aalto University. During his doctoral studies he was affiliated with Finnish research groups that collaborated with international centers including the Max Planck Society and received mentorship linked to researchers associated with Carnegie Mellon University, Stanford University, and Massachusetts Institute of Technology. His training combined experimental methods from Cognitive Psychology with engineering perspectives from Information Technology and Human–computer interaction laboratories.
He has been faculty and research staff at institutions such as Aalto University, the Max Planck Institute for Informatics, and visiting scholar roles connected to Carnegie Mellon University and other North American universities. He led research groups and laboratories that collaborated with departments at the University of Helsinki, cross-disciplinary centers at Aalto University School of Science and Technology, and European networks linked to the European Research Council. His professional service includes program committee roles for conferences like CHI, UIST, CSCW, and editorial duties for journals including ACM Transactions on Computer-Human Interaction and other venues in Human–computer interaction and Cognitive Science.
Oulasvirta’s research addresses input devices, pointing performance, motor control, and expertise in interactive contexts, connecting theories from Fitts's law studies to contemporary touch and gesture interaction research. He has investigated performance limits for touchscreens and stylus input, drawing on literature related to Fitts's law, Hick's law, and models of human motor behavior developed in Experimental Psychology and Neuroscience. His work on mobile device usage analyzed behavioral traces akin to studies in Ubiquitous computing and leveraged methods similar to those used in Computer Vision for interaction logging. He has explored expertise and skill acquisition with parallels to research on Deliberate practice and studies by scholars at University of Cambridge and University of Oxford on expert performance. Collaborations and comparative studies have connected his group with researchers at Microsoft Research, Google Research, IBM Research, and national laboratories across Europe and North America.
Methodologically, his contributions combine controlled experiments, computational modeling, field studies, and instrumented data analysis, engaging topics related to Mobile computing, Wearable computing, touch interaction paradigms seen in products from Apple Inc., Samsung Electronics, and Google LLC, and evaluation frameworks used at SIGCHI venues. He has proposed models and design guidelines that inform interface design in industry contexts involving companies like Nokia, Sony, Huawei, and Motorola.
Selected peer-reviewed works include conference and journal articles in venues such as CHI, UIST, TOCHI, Nature Human Behaviour, and workshop proceedings associated with SIGCHI and ACM. Representative topics covered in these publications include touchscreen pointing models, behavioral regularities in mobile usage, expertise assessment, and algorithmic analyses of interaction logs. His publications often engage with literature from Psychonomic Society publications, Cognitive Psychology journals, and interdisciplinary outlets bridging Computer Science and Psychology.
He has received recognition from professional societies and funding agencies including grants and awards connected to the European Research Council, national academies in Finland, and accolades at venues such as ACM CHI for best papers or honorable mentions. His work has been cited in technical reports and has contributed to community awards and invited talks at institutions like Max Planck Society, Carnegie Mellon University, Massachusetts Institute of Technology, and Stanford University.
Oulasvirta has supervised graduate students and postdoctoral researchers who have taken positions across academia and industry, including appointments at universities such as Aalto University, University of Helsinki, Carnegie Mellon University, University College London, ETH Zurich, University of Toronto, and companies including Google, Microsoft, and Apple Inc.. His teaching has spanned courses in interaction design, experimental methods, computational modeling, and topics presented in curricula at Aalto University School of Science and Technology and collaborative programs with European institutions funded by agencies like the Academy of Finland.
Category:Finnish scientists Category:Human–computer interaction researchers