Publications

[Cairns et al., 2014] Cairns, P., Pandab, P., and Power, C. (2014). The influence of emotion on number entry errors. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pages 2293–2296. ACM.

[Carr et al., 2017] Carr, A., Murphy, D., Dugdale, I., Dyson, A., Habli, I., and Robinson, R. (2017). De- veloping the safety case for medipi: An open-source platform for self management. Studies in health technology and informatics, 235:78–82.

[Clarke et al., 2015] Clarke, A., Adamson, J., Sheard, L., Cairns, P., Watt, I., and Wright, J. (2015). Im- plementing electronic patient record systems (EPRs) into England’s acute, mental health and community care trusts: a mixed methods study. BMC medical informatics and decision making, 15(1):85.

[Costa et al., 2015] Costa, L., Smith, J., Nichols, T., Cussens, J., Duff, E. P., Makin, T. R., et al. (2015). Searching multiregression dynamic models of resting-state fMRI networks using integer programming. Bayesian Analysis, 10(2):441–478.

[Cussens et al., 2013] Cussens, J., Bartlett, M., Jones, E. M., and Sheehan, N. A. (2013). Maximum likeli- hood pedigree reconstruction using integer linear programming. Genetic epidemiology, 37(1):69–83.

[Dai et al., 2017a] Dai, H., Pears, N., and Duncan, C. (2017a). Modelling of Orthogonal Craniofacial Profiles. Journal of Imaging, 3(4):55.

[Dai et al., 2017b] Dai, H., Pears, N., Smith, W., and Duncan, C. (2017b). A 3D morphable model of craniofacial shape and texture variation. In 2017 IEEE International Conference on Computer Vision (ICCV), pages 3104–3112. IEEE.

[Dai et al., 2017c] Dai, H., Smith, W. A., Pears, N., and Duncan, C. (2017c). Symmetry-factored Statistical Modelling of Craniofacial Shape. In 2017 IEEE International Conference on Computer Vision Workshop (ICCVW), pages 786–794. IEEE.

[Lim et al., 2014] Lim, T. H., Weng, T., and Bate, I. (2014). Optimistic medium access control using gait analysis in body sensor networks. In Wireless Mobile Communication and Healthcare (Mobihealth), 2014 EAI 4th International Conference on, pages 308–311. IEEE.

[Petrie et al., 2017] Petrie, H., Carmien, S., and Lewis, A. (2017). Obtaining Experiential Data on Assistive Technology Device Abandonment. In Antona, M. and Stephanidis, C., editors, Universal Access in Human– Computer Interaction. Design and Development Approaches and Methods, pages 217–226, Cham. Springer International Publishing.

[Petrie et al., 2018] Petrie, H., Darzentas, J., and Carmien, S. (2018). Intelligent Support Technologies for Older People: An Analysis of Characteristics and Roles. In Cambridge Workshop on Universal Access and Assistive Technology, pages 89–99. Springer.

[Power et al., 2017] Power, C., Denisova, A., Papaioannou, T., and Cairns, P. (2017). Measuring Uncertainty in Games: Design and Preliminary Validation. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, CHI EA ’17, pages 2839–2845, New York, NY, USA. ACM.

[Power and Fox, 2014] Power, C. and Fox, J. (2014). Comparing the comprehensiveness of three expert inspection methodologies for detecting errors in interactive systems. Safety science, 62:286–294.

[Raseta et al., 2017] Raseta, M., Pitchford, J., Cussens, J., and Doe, J. (2017). Integrated testing strategies can be optimal for chemical risk classification. Mathematical biosciences, 290:1–8.

[Sheehan et al., 2014] Sheehan, N. A., Bartlett, M., and Cussens, J. (2014). Improved maximum likelihood reconstruction of complex multi-generational pedigrees. Theoretical population biology, 97:11–19.

[Sujan et al., 2017] Sujan, M. A., Habli, I., Kelly, T. P., Gu ̈hnemann, A., Pozzi, S., and Johnson, C. W. (2017). How can health care organisations make and justify decisions about risk reduction? Lessons from a cross-industry review and a health care stakeholder consensus development process. Reliability Engineering & System Safety, 161:1–11.

[Sujan et al., 2016] Sujan, M. A., Habli, I., Kelly, T. P., Pozzi, S., and Johnson, C. W. (2016). Should healthcare providers do safety cases? Lessons from a cross-industry review of safety case practices. Safety science, 84:181–189.