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Publications

under contract

Ellis, D. A. (under contract). Smartphones within psychological science Cambridge University Press

 

in press

Geyer, K., Ellis, D. A. and Piwek, L. (in press) A simple location tracking app for psychological research. Behavior Research Methods

 

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