David A Ellis
Cited by
Cited by
The rise of consumer health wearables: promises and barriers
L Piwek, DA Ellis, S Andrews, A Joinson
PLoS Medicine, 2016
Beyond self-report: tools to compare estimated and real-world smartphone use
S Andrews, DA Ellis, H Shaw, L Piwek
PloS one 10 (10), e0139004, 2015
Do smartphone usage scales predict behaviour
DA Ellis, BI Davidson, H Shaw, K Geyer
International Journal of Human-Computer Studies, 2019
Stress detection using wearable physiological and sociometric sensors
O Martinez Mozos, V Sandulescu, S Andrews, D Ellis, N Bellotto, ...
International Journal of Neural Systems 27 (2), 2017
Are smartphones really that bad? Improving the psychological measurement of technology-related behaviors
DA Ellis
Computers in Human Behavior 97, 60-66, 2019
Stress detection using wearable physiological sensors
V Sandulescu, S Andrews, D Ellis, N Bellotto, OM Mozos
International work-conference on the interplay between natural andá…, 2015
Demographic and practice factors predicting repeated non-attendance in primary care: a national retrospective cohort analysis
DA Ellis, R McQueenie, A McConnachie, P Wilson, AE Williamson
The Lancet Public Health 2 (12), e551-e559, 2017
Determining typical smartphone usage: What data do we need?
TDW Wilcockson, DA Ellis, H Shaw
Cyberpsychology, Behavior, and Social Networking 21 (6), 395-398, 2018
An agenda for open science in communication
T Dienlin, N Johannes, ND Bowman, PK Masur, S Engesser, AS KŘmpel, ...
Journal of Communication 71 (1), 1-26, 2021
The Technology Integration Model (TIM). Predicting the continued use of technology
H Shaw, DA Ellis, FV Ziegler
Computers in Human Behavior 83, 204-214, 2018
Weekday affects attendance rate for medical appointments: large-scale data analysis and implications
DA Ellis, R Jenkins
PloS one 7 (12), e51365, 2012
Predicting smartphone operating system from personality and individual differences.
H Shaw, D Ellis, LR Kendrick, F Ziegler, R Wiseman
Cyberpsychology, Behavior, and Social Networking, 2016
Morbidity, mortality and missed appointments in healthcare: a national retrospective data linkage study
R McQueenie, DA Ellis, A McConnachie, P Wilson, AE Williamson
BMC medicine 17 (1), 1-9, 2019
Understanding repeated non-attendance in health services: a pilot analysis of administrative data and full study protocol for a national retrospective cohort
A Williamson, DA Ellis, P Wilson, R McQueenie, A McConnachie
BMJ Open, 2017
Digital detox: The effect of smartphone abstinence on mood, anxiety, and craving
TDW Wilcockson, AM Osborne, DA Ellis
Addictive behaviors 99, 106013, 2019
Rich contexts do not always enrich the accuracy of personality judgments
HJ Wall, PJ Taylor, J Dixon, SM Conchie, DA Ellis
Journal of Experimental Social Psychology 49 (6), 1190-1195, 2013
The conceptual and methodological mayhem of “screen time”
L K Kaye, A Orben, D A Ellis, S C Hunter, S Houghton
International Journal of Environmental Research and Public Health 17 (10), 3661, 2020
Can programming frameworks bring smartphones into the mainstream of psychological science?
L Piwek, DA Ellis, S Andrews
Frontiers in Psychology 7, 2016
Thinking outside the box: Developing dynamic data visualizations for psychology with Shiny
DA Ellis, HL Merdian
Frontiers in Psychology, 2015
Digital traces of behaviour within addiction: Response to Griffiths (2017)
DA Ellis, LK Kaye, TDW Wilcockson, FC Ryding
International journal of mental health and addiction 16 (1), 240-245, 2018
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