Latest Publications
IN PRESS
Ellis, D. A. and Merdian, H. L. (in press). The visualisation of data in a digital context. In Costa C. and Condie J. (Eds.) Doing research in and on the digital: Research methods across fields of enquiry. London: Routledge

Ellis, D. A., McQueenie, R., McConnachie, A., Wilson, P and Williamson, A. E. (in press). Predicting repeated non-attendance: Response to Smits & ter Riet. The Lancet Public Health

Ellis, D. A., Luther, K. and Jenkins, R. (E-pub ahead of print). Missed appointments during shifts to and from daylight saving time. Chronobiology International LINK

Ellis, D. A. and Renouf, K.J. (E-pub ahead of print). Predicting fear of crime: Personality outperforms prior victimisation. The Journal of Forensic Psychiatry and Psychology LINK

2018
Shaw, H., Ellis, D. A. and Ziegler, F. (2018). The technology integration model (TIM): A new theory to predict technology adoption and use. Computers in Human Behavior,83,204-214 LINK

Ellis, D. A., Kaye, L. K., Wilcockson, T. D. and Ryding, F. C. (2018). Digital traces of behavior within addiction: Response to Griffiths (2017). International Journal of Mental Health and Addiction,16(1),240-245 LINK

2017
Ellis, D. A., McQueenie, R., McConnachie, A., Wilson, P and Williamson, A. E. (2017). Demographic and practice factors predicting repeated non-attendance in primary care: A national retrospective cohort analysis. The Lancet Public Health, 2(12),e551-e559 LINK

Ellis, D. A. & Piwek, L. (2017). When wearable devices fail: Towards an improved understanding of what makes a successful wearable intervention. Paper presented at the 1st GetAMoveOn Annual Symposium. LINK

Mozos, O. M., Sandulescu, V., Andrews, S., Ellis, D., Bellotto, N., Dobrescu, and Ferrandez, J. M. (2017). Stress detection using wearable physiological and sociometric sensors. International Journal of Neural Systems, 27(2),1650041 LINK

Williamson, A., Ellis, D. A., Wilson, P., McQueenie, R. and McConnachie, A. (2017). Understanding repeated non-attendance in health services - pilot analysis of administrative data and full study protocol. BMJ Open, 7(2), e014120 LINK