Professor Roderick Murray-Smith, University of Glasgow
DATE & TIME
Tuesday, 1st September @ 11am
Lecture Room R037/TU2, TUAS building, Otaniementie 17, 02150 Espoo
Casual Interaction: Designing so People can focus on What Matters When it Matters
There has been increasing public debate about the way mobile devices capture the focus of their user’s attention, to the detriment, and in some cases danger of those around them. I will describe the focused–casual continuum, a framework for describing interaction techniques according to the degree to which they allow users to adapt how much attention and effort they choose to invest in an interaction conditioned on their current situation. Casual interactions are particularly appropriate in scenarios where full engagement with devices is frowned upon socially, is unsafe, physically challenging or too mentally taxing. I will describe how novel sensing approaches accompanied by machine learning and signal processing for inference will allow us to go beyond direct touch, and will enable wider use of casual interactions, which will often be ‘around device’ interactions, and look at the role of control theory and information theory in analysis of such systems. I will illustrate the ideas with prototypes and commercial products including novel music players and touch input systems.
Roderick Murray-Smith is a Professor of Computing Science at Glasgow University, in the “Inference, Dynamics and Interaction” research group. 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, 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., and Daimler-Benz Research, Berlin, and was the Director of SICSA, the Scottish Informatics and Computing Science Alliance. 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, 22 journal papers, 16 book chapters, and 88 conference papers.