Research Associate
Centre for International Human Resource Management
MA (University of Cambridge), MSc (University of Sussex), PhD (University of Cambridge)
My research examines the design and use of all kinds of technology; how beliefs and practices of societies, organisations and communities shape technology design; how technologies influence individual and organisational beliefs and practices; and implications for more humane and sustainable design of technologies and organisations.
Professional experience
Dr Toye Scott has previously worked at LBI International (now Digitas) as a user experience consultant, and has also conducted research for Intel Research. Other roles have included project and customer liaison management at companies such as Cambridge Cognition and Sibelius Software.
Previous appointments
Dr Toye Scott was a researcher at Cambridge Judge Business School in 1996-1997, and at the Cambridge University Computer Laboratory from 2002-2004.
Selected publications
Blackwell, A.F., Rode, J.A. and Toye, E.F. (2009) “How do we program the home? Gender, attention investment, and the psychology of programming at home.” International Journal of Human-Computer Studies, 67(4): 324-341 (DOI: 10.1016/j.ijhcs.2008.09.011)
Rode, J.A., Toye, E.F. and Blackwell, A.F. (2005) “The domestic economy: a broader unit of analysis for end user programming.” CHI 2005, 1757-1760
Toye, E., Sharp, R., Madhavapeddy, A. and Scott, D. (2005) “Using smart-phones to access site-specific services.” IEEE Pervasive Computing, 4(2): 60-66
Stringer, M., Rode, J.A., Toye, E. and Simpson, A. (2005) “The Webkit tangible user interface: a case study of iterative prototyping.” IEEE Pervasive Computing, 4(4): 35-41
Blackwell, A.F., Edge, D., Dubuc, L., Rode, J. and Toye, E. (2005) “Using solid diagrams for tangible interface prototyping.” IEEE Pervasive Computing, 4(4): 74-77
Rode, J.A., Toye, E.F. and Blackwell, A.F. (2004) “The fuzzy felt ethnography – understanding the programming patterns of domestic appliances.” Personal and Ubiquitous Computing, 8(3-4): 161-176 (DOI: 10.1007/s00779-004-0272-0)