Markku is currently a visiting doctoral candidate (future postdoctoral researcher) in Prof. Antti Oulasvirta’s User Interfaces group. In Prof. Oulasvirta’s group, he is working on a project called “Self-Optimizing Web Services”, which focuses on computational optimization of web user interfaces. The project is funded by the Technology Industries of Finland. Previously, he worked in the…

These PAPERS have been conditionally accepted to the CHI 2018 technical program: Neuromechanics of a Button Press Moving Target Selection: A Cue Integration Model Impact Activation Improves Button Pressing Observations on Typing from 136 Million Keystrokes AdaM: Adapting Multi-User Interfaces for Collaborative Environments in Real-Time Physical Keyboards in Virtual Reality: Analysis of Typing Performance and Effects…

https://global.oup.com/academic/product/computational-interaction-9780198799610?cc=fi&lang=en& Computational Interaction Edited by Antti Oulasvirta, Per Ola Kristensson, Xiaojun Bi, and Andrew Howes A new perspective on human-computer interaction Presents a new systematic engineering approach to the design of user interfaces Concisely conveys the state-of-the-art in computational interaction Written to be accessible to both students and practitioners Explains technical concepts in accessible language

Our #chi2018 Course “Computational Interaction: Theory and Practice” was accepted. The revised course will have more focused content than last year as well as added in-class coding exercises using Python notebooks. Keywords: Bayesian; Optimization; Decoders; Learning for HCI. With John Williamson / Glasgow, Otmar Hilliges / ETH Z, and Per Ola Kristensson / Cambridge

PROJECT PAGE: http://handtracker.mpi-inf.mpg.de/projects/WatchSense/#materials It relies on a depth sensor that tracks movements of the thumb and index finger on and above the back of the hand. In this way, not only can smartwatches be controlled, but also smartphones, smart TVs and devices for augmented and virtual reality. They’re called the “Apple Watch Series 2″, “LG Watch”,…

Release: http://www.aalto.fi/en/current/news/2017-05-03-004/ Computers learn to understand humans better by modelling them 03.05.2017 Computers are able to learn to explain the behavior of individuals by tracking their glances and movements. Researchers from Aalto University, University of Birmingham and University of Oslo present results paving the way for computers to learn psychologically plausible models of individuals simply by…