Dr Christopher Bull Ph.D

Senior Research Associate

Research Overview

My research interests lie in exploring diagnostic systems using digital sensing and IoT. My current focus within the SAMS project is on the early detection of mild cognitive impairment and neurodegenerative diseases, such as Alzheimer’s disease, to enable earlier treatment and better quality of life for patients. This is achieved through capturing data (low-level mouse and keyboard, as well as higher-level contextual information) from a participant’s computer, and analysing the data to determine patterns of usage through data mining and natural language processing.

I also have a particular interest in the ethical challenges of healthcare technologies and sociotechnical systems.

Mobile Age: Open Data Mobile Apps to Support Independent Living
Bull, C.N., Simm, W.A., Knowles, B.H., Bates, O.E.G., Davies, N.A.J., Banerjee, A., Introna, L.D., Hayes, N. 6/05/2017 In: CHI EA '17 Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '17). New York : ACM p. 2410-2415. 6 p. ISBN: 9781450346566.
Conference contribution

Combining mouse and keyboard events with higher level desktop actions to detect mild cognitive impairment
Gledson, A., Asfiandy, D., Mellor, J., Omer Faraj Ba-Dhfari, T., Stringer, G., Couth, S., Burns, A., Leroi, I., Zeng, X., Keane, J., Bull, C.N., Rayson, P.E., Sutcliffe, A.G.S., Sawyer, P.H. 4/10/2016 In: Healthcare Informatics (ICHI), 2016 IEEE International Conference on. IEEE 7 p. ISBN: 9781509061181. Electronic ISBN: 9781509061174.
Conference contribution

Combining data mining and text mining for detection of early stage dementia: the SAMS framework
Bull, C.N., Asfiandy, D., Gledson, A., Mellor, J., Couth, S., Stringer, G., Rayson, P.E., Sutcliffe, A.G.S., Keane, J., Zeng, X., Burns, A., Leroi, I., Ballard, C., Sawyer, P.H. 23/05/2016 In: Resources and ProcessIng of linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric impairments (RaPID '16) workshop. European Language Resources Association (ELRA) p. 35-40. 6 p.
Conference contribution

Studios in software engineering education
Bull, C.N. 1/01/2016 Lancaster University. 239 p.
Doctoral Thesis

Software design studio: a practical example
Lee, J., Kotonya, G., Whittle, J., Bull, C. 16/05/2015 In: Software Engineering (ICSE), 2015 IEEE/ACM 37th IEEE International Conference on (Volume:2 ) . IEEE p. 389-397. 9 p.

Dementia and social sustainability: challenges for software engineering
Sawyer, P., Sutcliffe, A., Rayson, P., Bull, C. 05/2015 In: Software Engineering (ICSE), 2015 IEEE/ACM 37th IEEE International Conference on (Volume:2 ) . IEEE p. 527-530. 4 p.

Teaching in a software design studio: implications for modeling education
Whittle, J., Bull, C., Lee, J., Kotonya, G. 29/09/2014 In: 10th Educators' Symposium @ MODELS 2014. 10 p.

Discovering affect-laden requirements to achieve system acceptance
Sutcliffe, A., Rayson, P., Bull, C., Sawyer, P. 08/2014 In: 22nd IEEE International Requirements Engineering Conference (RE'14). IEEE p. 173-182. 10 p.

Supporting reflective practice in software engineering education through a studio-based approach
Bull, C., Whittle, J. 07/2014 In: IEEE Software. 31, 4, p. 44-50. 7 p.
Journal article

Observations of a software engineering studio: reflecting with the studio framework
Bull, C., Whittle, J. 04/2014 In: Proceedings of the 27th IEEE Conference on Software Engineering Education and Training (CSEE&T 2014). Piscataway, N.J. : IEEE p. 74-83. 10 p.

Studios in software engineering education: Towards an evaluable model
Bull, C., Whittle, J., Cruickshank, L. 05/2013 In: ICSE '13 Proceedings of the 2013 International Conference on Software Engineering. New York : ACM p. 1063-1072. 10 p.

Software engineering studios in practice: when is a studio really a studio?
Bull, C., Whittle, J., Cruickshank, L. 2013
Conference paper

Digitally annexing desk space for software development (NIER track)
Hardy, J., Bull, C., Kotonya, G., Whittle, J. 05/2011 In: Proceedings of the 33rd International Conference on Software Engineering. New York, NY, USA : ACM p. 812-815. 4 p.