prof m.c. schraefel, phd,fbcs, ceng, cscs (lower case deliberate). Professor of Computer Science and Human Performance, Fellow, british computer society, Research Chair, Royal Academy of Engineering, Chartered Engineer.
Deputy Head, Agents Interaction and Complexity Group
How to design information systems to support the brain-body connection for lifetime quality of life, including, fitness to learn, fitness to play, fitness to perform optimally, always; to understand through these paths how to enhance innovation, creativity and discovery.
Related Work - interaction design for data-driven (vs document driven) web-based systems for knowledge building.
Other Quals: I'm a certified and practicing strength and conditioning coach (CSCS), kettlebell instructor (RKC II, SFG II, KFF CKT), a certified nutrition coach (Pn1) and, particularly germaine to the research, a movement coach (CK-FMS, ZHealth Master Trainer). I *may* be the first computer scientist to draw blood - for science, of course.
The work that sets my hair on fire is investigating how we might design information systems to support human performance for the specific goals of improving creativity, innovation and discovery towards better quality of life for all.
Some bits that make designing for creativity through to quality of life interesting challenges is that, in science, we like to measure things. In Human-Computer Interaction / Human Factors, we like to design things to support people so we can do Meaningful Things - often with computers. How do we measure creativity (science) so that we can design and create things (engineering) that are demonstrably going to support creativity?
In other words we need models of creativity - whatever that may mean - against which we can develop and assess designs.
Similarly, if we want to design support for people to enhance our quality of life - whether that means eating better or moving more or connecting with real people or getting more rest - what kinds of information, when and where, do we need to provide to support this? What kinds of data do we need to capture, and how do this so as not to get in people's way such that the data is sufficient for the person and the system delivering it to the person?