Katarzyna Stawarz
Katarzyna Stawarz
Lecturer in HCI, Cardiff University
Verified email at - Homepage
Cited by
Cited by
Beyond self-tracking and reminders: designing smartphone apps that support habit formation
K Stawarz, AL Cox, A Blandford
Proceedings of the 33rd annual ACM conference on human factors in computing …, 2015
Don't forget your pill! Designing effective medication reminder apps that support users' daily routines
K Stawarz, AL Cox, A Blandford
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2014
User experience of cognitive behavioral therapy apps for depression: an analysis of app functionality and user reviews
K Stawarz, C Preist, D Tallon, N Wiles, D Coyle
Journal of medical Internet research 20 (6), e10120, 2018
Use of smartphone apps, social media, and web-based resources to support mental health and well-being: online survey
K Stawarz, C Preist, D Coyle
JMIR mental health 6 (7), e12546, 2019
Can standards and regulations keep up with health technology?
CJ Vincent, G Niezen, AA O'Kane, K Stawarz
JMIR mHealth and uHealth 3 (2), e3918, 2015
Don't kick the habit: The role of dependency in habit formation apps
I Renfree, D Harrison, P Marshall, K Stawarz, A Cox
Proceedings of the 2016 CHI conference extended abstracts on human factors …, 2016
" I'd sit at home and do work emails" how tablets affect the work-life balance of office workers
K Stawarz, AL Cox, J Bird, R Benedyk
CHI'13 Extended Abstracts on Human Factors in Computing Systems, 1383-1388, 2013
Understanding the use of contextual cues: design implications for medication adherence technologies that support remembering
K Stawarz, MD Rodríguez, AL Cox, A Blandford
Digital Health 2, 2016
Public engagement workshop: how to improve medicines for older people?
M Orlu-Gul, B Raimi-Abraham, E Jamieson, L Wei, M Murray, K Stawarz, ...
International journal of pharmaceutics 459 (1-2), 65-69, 2014
Bent necks and twisted wrists: Exploring the impact of touch-screen tablets on the posture of office workers
K Stawarz, R Benedyk
The 27th International British Computer Society Human Computer Interaction …, 2013
What influences the selection of contextual cues when starting a new routine behaviour? An exploratory study
K Stawarz, B Gardner, A Cox, A Blandford
BMC psychology 8, 1-11, 2020
Integrating the digital and the traditional to deliver therapy for depression: lessons from a pragmatic study
K Stawarz, C Preist, D Tallon, L Thomas, K Turner, N Wiles, D Kessler, ...
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020
Designing for health behavior change: HCI research alone is not enough
KM Stawarz, AL Cox
CHI'15 workshop: Crossing HCI and Health: Advancing Health and Wellness …, 2015
Co-designing personal health? Multidisciplinary benefits and challenges in informing diabetes self-care technologies
A Ayobi, K Stawarz, D Katz, P Marshall, T Yamagata, R Santos-Rodriguez, ...
Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2), 1-26, 2021
Design considerations for the integrated delivery of cognitive behavioral therapy for depression: user-centered design study
K Stawarz, C Preist, D Tallon, N Wiles, D Kessler, K Turner, R Shafran, ...
JMIR Mental Health 7 (9), e15972, 2020
Towards better medication adherence apps: Preventing forgetfulness by facilitating the formation of routine-based remembering strategies
KM Stawarz
UCL (University College London), 2017
Ambient computing to support the association of contextual cues with medication taking
MD Rodríguez, E Zárate, K Stawarz, JP García-Vázquez, EJE Ibarra
Revista mexicana de ingeniería biomédica 36 (3), 191-207, 2015
Model-based reinforcement learning for type 1diabetes blood glucose control
T Yamagata, A O'Kane, A Ayobi, D Katz, K Stawarz, P Marshall, P Flach, ...
arXiv preprint arXiv:2010.06266, 2020
Morphino: A nature-inspired tool for the design of shape-changing interfaces
IPS Qamar, K Stawarz, S Robinson, A Goguey, C Coutrix, A Roudaut
Proceedings of the 2020 ACM Designing Interactive Systems Conference, 1943-1958, 2020
Machine learning explanations as boundary objects: how AI researchers explain and non-experts perceive machine learning
A Ayobi, K Stawarz, D Katz, P Marshall, T Yamagata, R Santos-Rodríguez, ...
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