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All Outputs (78)

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.

Design and Evaluation of Virtual Human Mediated Tasks for Assessment of Depression and Anxiety (2021)
Presentation / Conference Contribution
Egede, J. O., Jaiswal, S., Galvez Trigo, M. J., Price, D., Elliot, N., Nixon, N., Krishnan, D. B., Morriss, R., Liddle, P., Greenhalgh, C., & Valstar, M. (2021, September). Design and Evaluation of Virtual Human Mediated Tasks for Assessment of Depression and Anxiety. Presented at 21st ACM International Conference on Intelligent Virtual Agents (IVA ’21), Virtual Event, Kyoto, Japan

Virtual human technologies are now being widely explored as therapy tools for mental health disorders including depression and anxiety. These technologies leverage the ability of the virtual agents to engage in naturalistic social interactions with a... Read More about Design and Evaluation of Virtual Human Mediated Tasks for Assessment of Depression and Anxiety.

Public health messaging by political leaders: a corpus linguistic analysis of COVID-19 speeches delivered by Boris Johnson (2021)
Report
McClaughlin, E., Nichele, E., Adolphs, S., Barnard, P., Clos, J., Knight, D., McAuley, D., & Lang, A. (2021). Public health messaging by political leaders: a corpus linguistic analysis of COVID-19 speeches delivered by Boris Johnson. Nottingham: UKRI/AHRC

This study analyses the language of speeches about COVID-19 delivered by Boris Johnson, the Prime Minister of the United Kingdom between 3rd March 2020 and 5th April 2021.

We use transcribed speeches to construct a digitised body of texts called a... Read More about Public health messaging by political leaders: a corpus linguistic analysis of COVID-19 speeches delivered by Boris Johnson.

Public Adoption of and Trust in the NHS COVID-19 Contact Tracing App in the United Kingdom: Quantitative Online Survey Study (2021)
Preprint / Working Paper
Dowthwaite, L., Fischer, J., Perez Vallejos, E., Portillo, V., Nichele, E., Goulden, M., & McAuley, D. Public Adoption of and Trust in the NHS COVID-19 Contact Tracing App in the United Kingdom: Quantitative Online Survey Study

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 show... 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., McCarthy, A., & 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.

Review of Networking and Tangible Security Techniques for Domestic IoT Devices and Initial Ideas (2020)
Preprint / Working Paper
Zakhary, S., Sunil, N., & Mcauley, D. Review of Networking and Tangible Security Techniques for Domestic IoT Devices and Initial Ideas

The number of connected devices including Internet of Things (IoTs) on the Internet is growing fast. According to recent Gartner research, the estimated number of IoT devices is 5.8 billion in 2020 (Gartner, 2019). The countries that are leading the... Read More about Review of Networking and Tangible Security Techniques for Domestic IoT Devices and Initial Ideas.

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.

Response to Call for Evidence – Joint Select Committee on Human Rights: The Government’s response to COVID-19: human rights implications (2020)
Other
McAuley, D., Koene, A., & Chen, J. (2020). Response to Call for Evidence – Joint Select Committee on Human Rights: The Government’s response to COVID-19: human rights implications

This submission addresses the three questions formulated in the Joint Select Committee’s call with a particular focus on both the digital rights implications of the Government’s measures against COVID-19 and the wider human rights implications of the... Read More about Response to Call for Evidence – Joint Select Committee on Human Rights: The Government’s response to COVID-19: human rights implications.

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.