Abstract
The opportunities for interaction with computer systems are rapidly expanding beyond traditional input and output paradigms: full-body motion sensors, brain-computer interfaces, 3D displays, touch panels are now commonplace commercial items. The profusion of new sensing devices for human input and the new display channels which are becoming available offer the potential to create more involving, expressive and efficient interactions in a much wider range of contexts. Dealing with these complex sources of human intention requires appropriate mathematical methods; modelling and analysis of interactions requires sophisticated methods which can transform streams of data from complex sensors into estimates of human intention.
This tutorial will focus on the use of inference and dynamical modelling in human-computer interaction. The combination of modern statistical inference and real-time closed loop modelling offers rich possibilities in building interactive systems, but there is a significant gap between the techniques commonly used in HCI and the mathematical tools available in other fields of computing science. This tutorial aims to illustrate how to bring these mathematical tools to bear on interaction problems, and will cover basic theory and example applications.
Speaker Bio
Roderick Murray-Smith <http://www.dcs.gla.ac.uk/~rod/> is a Professor of Computing Science at Glasgow University, leading the///Inference, Dynamics and Interaction/ <http://www.dcs.gla.ac.uk/idi/> research group, and heads the 50-strong Section on/Information, Data and Analysis, /which also includes the /Information Retrieval/ <http://www.gla.ac.uk/schools/computing/research/researchoverview/informatio[..]>, /Computer Vision & Autonomous systems/ <http://www.gla.ac.uk/schools/computing/research/researchoverview/computervi[..]> and /IDEAS Big Data/ <http://dcs.gla.ac.uk/ideas/> groups. He works in the overlap between machine learning, interaction design and control theory. In recent years his research has included multimodal sensor-based interaction with mobile devices, mobile spatial interaction, AR/VR, Brain-Computer interaction and nonparametric machine learning. Prior to this he held positions at the Hamilton Institute, NUIM, Technical University of Denmark, M.I.T. (Mike Jordan’s lab), and Daimler-Benz Research, Berlin, and was the Director of SICSA, the Scottish Informatics and Computing Science Alliance (all academic CS departments in Scotland). He works closely with the mobile phone industry, having worked together with Nokia, Samsung, FT/Orange, Microsoft and Bang & Olufsen. He was a member of Nokia’s Scientific Advisory Board and is a member of the Scientific Advisory Board for the Finnish Centre of Excellence in Computational Inference Research. He has co-authored three edited volumes, 29 journal papers, 18 book chapters, and 88 conference papers.