2017

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

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

2016

Shaw, H., Ellis, D. A., Kendrick, L., Ziegler, F. and Wiseman, R. (2016). Predicting smartphone operating system from personality and individual differences. Cyberpsychology, Behavior, and Social Networking. 19(12), 727-732. LINK

Piwek, L. and Ellis, D. A. (2016). Can programming frameworks bring smartphones into the mainstream of psychological science? Frontiers in Psychology. 7:1252. LINK

Ellis, D. A. and Piwek, L. (2016). The future of… wearable technology. CREST Security Review, 1, 4-5. LINK

Piwek, L., Ellis, D. A., Andrews, S. and Joinson, A. (2016). The rise of consumer wearables: Promises and barriers. PLoS MEDICINE. 13(2): e1001953. LINK

Piwek, L. and Joinson, A. (2016). “What do they snapchat about?” Patterns of use in time-limited instant messaging service. Computers in Human Behaviour. 54, 358-367. LINK

2015

Ellis, D. A. and Merdian, H. L. (2015). Thinking outside the box: Developing dynamic data visualizations for psychology with Shiny. Frontiers in Psychology. 6: 1782. LINK

Sandulescu, V., Andrews, S., Ellis, D., Dobrescu, R. and Mozos, O. M. (2015). Mobile app for stress monitoring using voice features. IEEE E-health and Bioengineering Conference (EHB). IEEE. LINK

Andrews, S., Ellis, D.A., Shaw, H. and Piwek, L. (2015). Beyond self report: Tools to compare estimated and real-world smartphone use. PLoS ONE. 10(10): e0139004 LINK

Ellis, D. A. and Jenkins, R. (2015). Watch-wearing as a marker of conscientiousness. PeerJ 3:e1210. LINK

Piwek, L., Joinson, A. and Morvan, J. (2015). The use of self-monitoring solutions amongst cyclists: An online survey and empirical study. Transportation Research Part A. 77, 126-136. LINK

Sandulescu, V., Andrews, S., Ellis, D., Bellotto, N., and Mozos, O. M. (2015). Stress detection using wearable physiological sensors. In Artificial Computation in Biology and Medicine (pp. 526-532). Springer International Publishing. LINK

Pre 2014

Ellis, D. A. and Jenkins, R. (2012). Weekday affects attendance rate for medical appointments: Large-scale data analysis and implications. PLoS ONE, 7(12):e51365. LINK