under contract
Ellis, D. A. (under contract). Smartphones within psychological science Cambridge University Press
pre-prints/working papers
Ellis, D. A., Davidson, B. I., Shaw, H., and Geyer, K. (2018). Do smartphone usage scales predict behavior? PsyArXiv LINK
in press
Geyer, K., Ellis, D. A. and Piwek, L. (online first) A simple location-tracking app for psychological research. Behavior Research Methods LINK
2018
Ellis, D. A. and Piwek, L. (2018). Failing to encourage physical activity with wearable technology: what next? Journal of the Royal Society of Medicine, 111(9), 310-313 LINK
Wilcockson, T. D. W., Ellis, D. A. and Shaw, H. (2018) Determining typical smartphone usage: What data do we need? Cyberpsychology, Behavior and Social Networking, 21, 6, 395-398 LINK
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. and Merdian, H. L. (2018). 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., 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
Moore, P., Piwek, L., & Roper, I. (2018). The Quantified Workplace: A Study in Self-Tracking, Agility and Change Management. In Btihaj Ajana (Ed.) Self-Tracking: Empirical and Philosophical Investigations. Palgrave Macmillan, Cham. LINK
2017
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
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
