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All Outputs (13)

Feasibility and acceptability of an Internet of Things-enabled sedentary behavior intervention: mixed-methods study (2023)
Journal Article
Huang, Y., Benford, S., Price, D., Li, B., & Blake, H. (2023). Feasibility and acceptability of an Internet of Things-enabled sedentary behavior intervention: mixed-methods study. Journal of Medical Internet Research, 25, Article e43502. https://doi.org/10.2196/43502

Background: Encouraging office workers to break up prolonged sedentary behavior (SB) at work with regular micro-breaks can be beneficial yet challenging. Internet of Things (IoT) offers great promise for delivering more subtle and hence acceptable... Read More about Feasibility and acceptability of an Internet of Things-enabled sedentary behavior intervention: mixed-methods study.

The relationship between trust and attitudes towards the COVID-19 digital contact-tracing app in the UK (2022)
Journal Article
Dowthwaite, L., Wagner, H. G., Babbage, C. M., Fischer, J. E., Barnard, P., Nichele, E., …McAuley, D. (2022). The relationship between trust and attitudes towards the COVID-19 digital contact-tracing app in the UK. PLoS ONE, 17(10), Article e0276661. https://doi.org/10.1371/journal.pone.0276661

During the COVID-19 pandemic, digital contact-tracing has been employed in many countries to monitor and manage the spread of the disease. However, to be effective such a system must be adopted by a substantial proportion of the population; therefore... Read More about The relationship between trust and attitudes towards the COVID-19 digital contact-tracing app in the UK.

Public Adoption of and Trust in the NHS COVID-19 Contact Tracing App in the United Kingdom: Quantitative Online Survey Study (2021)
Journal Article
Dowthwaite, L., Fischer, J., Perez Vallejos, E., Portillo, V., Nichele, E., Goulden, M., & McAuley, D. (2021). Public Adoption of and Trust in the NHS COVID-19 Contact Tracing App in the United Kingdom: Quantitative Online Survey Study. Journal of Medical Internet Research, 23(9), Article e29085. https://doi.org/10.2196/29085

Background: Digital contact tracing is employed to monitor and manage the spread of Covid-19. However, to be effective the system must be adopted by a substantial proportion of the population. Studies of (mostly hypothetical) contact tracing apps sho... Read More about Public Adoption of and Trust in the NHS COVID-19 Contact Tracing App in the United Kingdom: Quantitative Online Survey Study.

Text Data Augmentations: Permutation, Antonyms and Negation (2021)
Journal Article
Haralabopoulos, G., Torres, M. T., Anagnostopoulos, I., & McAuley, D. (2021). Text Data Augmentations: Permutation, Antonyms and Negation. Expert Systems with Applications, 177, Article 114769. https://doi.org/10.1016/j.eswa.2021.114769

Text has traditionally been used to train automated classifiers for a multitude of purposes, such as: classification, topic modelling and sentiment analysis. State-of-the-art LSTM classifier require a large number of training examples to avoid biases... Read More about Text Data Augmentations: Permutation, Antonyms and Negation.

The impact of algorithmic decision-making processes on young people’s well-being (2021)
Journal Article
Perez Vallejos, E., Dowthwaite, L., Creswick, H., Portillo, V., Koene, A., Jirotka, M., …McAuley, D. (2021). The impact of algorithmic decision-making processes on young people’s well-being. Health Informatics Journal, 27(1), 1-21. https://doi.org/10.1177/1460458220972750

This study aims to capture the online experiences of young people when interacting with algorithm mediated systems and their impact on their well-being. We draw on qualitative (focus groups) and quantitative (survey) data from a total of 260 young pe... Read More about The impact of algorithmic decision-making processes on young people’s well-being.

Who is Responsible for Data Processing in Smart Homes? Reconsidering Joint Controllership and the Household Exemption (2020)
Journal Article
Chen, J., Edwards, L., Urquhart, L., & Mcauley, D. (2020). Who is Responsible for Data Processing in Smart Homes? Reconsidering Joint Controllership and the Household Exemption. International Data Privacy Law, 10(4), 279–293. https://doi.org/10.1093/idpl/ipaa011

The growing industrial and research interest in protecting privacy and fighting cyberattacks for smart homes has sparked various innovations in security- and privacy-enhancing technologies (S/PETs) powered by edge computing. The complex technical set... Read More about Who is Responsible for Data Processing in Smart Homes? Reconsidering Joint Controllership and the Household Exemption.

Crowdsourcing Formulaic Phrases: towards a new type of spoken corpus (2020)
Journal Article
Adolphs, S., Knight, D., Smith, C., & Price, D. (2020). Crowdsourcing Formulaic Phrases: towards a new type of spoken corpus. Corpora, 15(2), 141-168. https://doi.org/10.3366/cor.2020.0192

Corpora have revolutionised the way we describe and analyse language in use. The sheer scale of collections of texts, along with the appropriate software for structuring and analysing this data, has led to a fuller understanding of the characteristic... Read More about Crowdsourcing Formulaic Phrases: towards a new type of spoken corpus.

Using Internet of Things to Reduce Office Workers’ Sedentary Behavior: Intervention Development Applying the Behavior Change Wheel and Human-Centered Design Approach (2020)
Journal Article
Huang, Y., Benford, S., Price, D., Patel, R., Li, B., Ivanov, A., & Blake, H. (2020). Using Internet of Things to Reduce Office Workers’ Sedentary Behavior: Intervention Development Applying the Behavior Change Wheel and Human-Centered Design Approach. JMIR mHealth and uHealth, 8(7), Article e17914. https://doi.org/10.2196/17914

Background: Sedentary behavior (SB) is associated with various adverse health outcomes. The prevalence of prolonged sitting at work among office workers makes a case for SB interventions to target this setting and population. Everyday mundane objects... Read More about Using Internet of Things to Reduce Office Workers’ Sedentary Behavior: Intervention Development Applying the Behavior Change Wheel and Human-Centered Design Approach.

Towards understanding how individuals with inflammatory bowel disease use contemporary social media platforms for health-related discourse (2020)
Journal Article
O'Leary, K., Coulson, N., Perez-Vallejos, E., & McAuley, D. (2020). Towards understanding how individuals with inflammatory bowel disease use contemporary social media platforms for health-related discourse. Computers in Human Behavior, 112, Article 106463. https://doi.org/10.1016/j.chb.2020.106463

© 2020 With a growing prevalence of social media use worldwide where individuals share varying aspects of their lives, this paper focuses on how individuals with a chronic illness use these communications platforms to discuss their health. This paper... Read More about Towards understanding how individuals with inflammatory bowel disease use contemporary social media platforms for health-related discourse.

To What Extent Does the EU General Data Protection Regulation (GDPR) Apply to Citizen Scientist-Led Health Research with Mobile Devices? (2020)
Journal Article
Dove, E. S., & Chen, J. (2020). To What Extent Does the EU General Data Protection Regulation (GDPR) Apply to Citizen Scientist-Led Health Research with Mobile Devices?. Journal of Law, Medicine and Ethics, 48(1_suppl), 187-195. https://doi.org/10.1177/1073110520917046

In this article, we consider the possible application of the European General Data Protection Regulation (GDPR) to “citizen scientist”-led health research with mobile devices. We argue that the GDPR likely does cover this activity, depending on the s... Read More about To What Extent Does the EU General Data Protection Regulation (GDPR) Apply to Citizen Scientist-Led Health Research with Mobile Devices?.

“… They don’t really listen to people”: Young people’s concerns and recommendations for improving online experiences (2019)
Journal Article
Creswick, H., Dowthwaite, L., Koene, A., Vallejos, E. P., Portillo, V., Cano, M., & Woodard, C. (2019). “… They don’t really listen to people”: Young people’s concerns and recommendations for improving online experiences. Journal of Information, Communication and Ethics in Society, 17(2), 167-182. https://doi.org/10.1108/JICES-11-2018-0090

© 2019, Helen Creswick, Liz Dowthwaite, Ansgar Koene, Elvira Perez Vallejos, Virginia Portillo, Monica Cano and Christopher Woodard. Purpose: The voices of children and young people have been largely neglected in discussions of the extent to which th... Read More about “… They don’t really listen to people”: Young people’s concerns and recommendations for improving online experiences.

An interview analysis of coordination behaviours in out-of-hours secondary care (2019)
Journal Article
Martindale, S., Golightly, D., Pinchin, J., Shaw, D., Blakey, J., Perez, I., & Sharples, S. (2019). An interview analysis of coordination behaviours in out-of-hours secondary care. Applied Ergonomics, 81, Article 102861. https://doi.org/10.1016/j.apergo.2019.05.011

This paper seeks to elicit and structure the factors that shape the execution and, in particular, the coordination of work in Out of Hours care. Evenings and weekends in UK hospitals are managed by specific Out of Hours (OoH) care arrangements, and a... Read More about An interview analysis of coordination behaviours in out-of-hours secondary care.

The case for “n«all”: Why the Big Data revolution will probably happen differently in the mining sector (2015)
Journal Article
Perrons, R. K., & McAuley, D. (2015). The case for “n«all”: Why the Big Data revolution will probably happen differently in the mining sector. Resources Policy, 46(Part 2), 234-238. https://doi.org/10.1016/j.resourpol.2015.10.007

Big Data and predictive analytics have received significant attention from the media and academic literature throughout the past few years, and it is likely that these emerging technologies will materially impact the mining sector. This short communi... Read More about The case for “n«all”: Why the Big Data revolution will probably happen differently in the mining sector.