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David A Ellis
David A Ellis
Professor of Behavioural Science, University of Bath
Verified email at bath.ac.uk - Homepage
Title
Cited by
Cited by
Year
The rise of consumer health wearables: promises and barriers
L Piwek, DA Ellis, S Andrews, A Joinson
PLoS Medicine, 2016
11822016
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
4952015
Do smartphone usage scales predict behaviour
DA Ellis, BI Davidson, H Shaw, K Geyer
International Journal of Human-Computer Studies, 2019
3152019
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
1972017
Are smartphones really that bad? Improving the psychological measurement of technology-related behaviors
DA Ellis
Computers in Human Behavior 97, 60-66, 2019
1952019
An agenda for open science in communication
T Dienlin, N Johannes, ND Bowman, PK Masur, S Engesser, AS Kümpel, ...
Journal of Communication 71 (1), 1-26, 2021
1912021
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
1812020
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
1622017
Stress detection using wearable physiological sensors
V Sandulescu, S Andrews, D Ellis, N Bellotto, OM Mozos
Artificial Computation in Biology and Medicine: International Work …, 2015
1492015
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, 1-9, 2019
1332019
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
1322018
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
1302018
Digital detox: The effect of smartphone abstinence on mood, anxiety, and craving
TDW Wilcockson, AM Osborne, DA Ellis
Addictive behaviors 99, 106013, 2019
1132019
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
862016
Weekday affects attendance rate for medical appointments: large-scale data analysis and implications
DA Ellis, R Jenkins
PloS one 7 (12), e51365, 2012
722012
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
692017
Quantifying smartphone “use”: Choice of measurement impacts relationships between “usage” and health
H Shaw, DA Ellis, K Geyer, BI Davidson, FV Ziegler, A Smith
Technology, Mind, and Behavior 1 (2), 2020
65*2020
Can programming frameworks bring smartphones into the mainstream of psychological science?
L Piwek, DA Ellis, S Andrews
Frontiers in Psychology 7, 2016
472016
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
452013
Thinking outside the box: Developing dynamic data visualizations for psychology with Shiny
DA Ellis, HL Merdian
Frontiers in Psychology, 2015
392015
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