In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ron...
Human-Computer Interaction (HCI) often focuses on how designers can develop systems that convey a single, specific, clear interpretation of what they are for and how they should b...
This paper examines the use of motorized physical sliders with position and force as input and output parameters for tangible human computer interaction. Firstly, we present an an...
Ali Shahrokni, Julio Jenaro, Tomas Gustafsson, And...
Developing personalized applications for the ubiquitous Web assumes to provide different user interfaces addressing heterogeneous capabilities of device classes. Major problems are...
Making it easier to design interactions between agents and humans is essential for realizing multi-agent simulations of social phenomena such as group dynamics. To realize large-s...