All Outputs (127)

The Extent of User Involvement in the Design of Self-Tracking Technology for Bipolar Disorder: Literature Review (2021)
Preprint / Working Paper
Majid, S., Reeves, S., Figueredo, G., Brown, S., Lang, A., Moore, M., & Morriss, R. The Extent of User Involvement in the Design of Self-Tracking Technology for Bipolar Disorder: Literature Review

Background:
Self-monitoring applications for bipolar disorder are increasing in numbers. The application of user-centred design (UCD) is becoming standardised to optimise the reach, adoption and sustained use of this type of technology.

Objectiv... Read More about The Extent of User Involvement in the Design of Self-Tracking Technology for Bipolar Disorder: Literature Review.

ALTCAI: Enabling the Use of Embodied Conversational Agents to Deliver Informal Health Advice during Wizard of Oz Studies (2021)
Presentation / Conference Contribution
Galvez Trigo, M. J., Porcheron, M., Egede, J., Fischer, J. E., Hazzard, A., Greenhalgh, C., Bodiaj, E., & Valstar, M. (2021, July). ALTCAI: Enabling the Use of Embodied Conversational Agents to Deliver Informal Health Advice during Wizard of Oz Studies. Presented at CUI 2021 : Third Conference on Conversational User Interfaces, Bilbao (online), Spain

We present ALTCAI, a Wizard of Oz Embodied Conversational Agent that has been developed to explore the use of interactive agents as an effective and engaging tool for delivering health and well-being advice to expectant and nursing mothers in Nigeria... Read More about ALTCAI: Enabling the Use of Embodied Conversational Agents to Deliver Informal Health Advice during Wizard of Oz Studies.

An empirical analysis of the information security culture key factors framework (2021)
Journal Article
Tolah, A., Furnell, S. M., & Papadaki, M. (2021). An empirical analysis of the information security culture key factors framework. Computers and Security, 108, Article 102354. https://doi.org/10.1016/j.cose.2021.102354

Information security is a challenge facing organisations, as security breaches pose a serious threat to sensitive information. Organisations face security risks in relation to their information assets, which may also stem from their own employees. Or... Read More about An empirical analysis of the information security culture key factors framework.

Machine learning to determine the main factors affecting creep rates in laser powder bed fusion (2021)
Journal Article
Sanchez, S., Rengasamy, D., Hyde, C. J., Figueredo, G. P., & Rothwell, B. (2021). Machine learning to determine the main factors affecting creep rates in laser powder bed fusion. Journal of Intelligent Manufacturing, 32(8), 2353–2373. https://doi.org/10.1007/s10845-021-01785-0

There is an increasing need for the use of additive manufacturing (AM) to produce improved critical application engineering components. However, the materials manufactured using AM perform well below their traditionally manufactured counterparts, par... Read More about Machine learning to determine the main factors affecting creep rates in laser powder bed fusion.

Producing Liveness: The Trials of Moving Folk Clubs Online During the Global Pandemic (2021)
Presentation / Conference Contribution
Benford, S., Mansfield, P., & Spence, J. (2021, May). Producing Liveness: The Trials of Moving Folk Clubs Online During the Global Pandemic. Presented at CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, Yokohama Japan

The global pandemic has driven musicians online. We report an ethnographic account of how two traditional folk clubs with little previous interest in digital platforms transitioned to online experiences. They followed very different approaches: one a... Read More about Producing Liveness: The Trials of Moving Folk Clubs Online During the Global Pandemic.

Health Care Cybersecurity Challenges and Solutions Under the Climate of COVID-19: Scoping Review (2021)
Journal Article
He, Y., Aliyu, A., Evans, M., & Luo, C. (2021). Health Care Cybersecurity Challenges and Solutions Under the Climate of COVID-19: Scoping Review. Journal of Medical Internet Research, 23(4), Article e21747. https://doi.org/10.2196/21747

Background: COVID-19 has challenged the resilience of the health care information system, which has affected our ability to achieve the global goal of health and well-being. The pandemic has resulted in a number of recent cyberattacks on hospitals, p... Read More about Health Care Cybersecurity Challenges and Solutions Under the Climate of COVID-19: Scoping Review.

Creating a Digital Mirror of Creative Practice (2021)
Presentation / Conference Contribution
Johnson, C. (2021, April). Creating a Digital Mirror of Creative Practice. Presented at 10th International Conference on Computational Intelligence in Music, Sound, Art and Design (EvoMUSART 2021), Online

This paper describes an ongoing project to create a “digital mirror” to my practice as a composer of contemporary classical music; that is, a system that takes descriptions (in code) of aspects of that practice, and reflects them back as computer-gen... Read More about Creating a Digital Mirror of Creative Practice.

Adaptive Covariance Pattern Search (2021)
Book Chapter
Neri, F. (2021). Adaptive Covariance Pattern Search. In P. A. Castillo, & J. L. Jiménez Laredo (Eds.), Applications of Evolutionary Computation – 24th International Conference, EvoApplications 2021 (178-193). Springer. https://doi.org/10.1007/978-3-030-72699-7_12

Pattern search is a family of single solution deterministic optimisation algorithms for numerical optimisation. Pattern search algorithms generate a new candidate solution by means of an archive of potential moves, named pattern. This pattern is gen... Read More about Adaptive Covariance Pattern Search.

Generalised Pattern Search Based on Covariance Matrix Diagonalisation (2021)
Journal Article
Neri, F., & Rostami, S. (2021). Generalised Pattern Search Based on Covariance Matrix Diagonalisation. SN Computer Science, 2, Article 171. https://doi.org/10.1007/s42979-021-00513-y

Pattern Search is a family of gradient-free direct search methods for numerical optimisation problems. The characterising feature of pattern search methods is the use of multiple directions spanning the problem domain to sample new candidate solution... Read More about Generalised Pattern Search Based on Covariance Matrix Diagonalisation.

Constructing a universe for the setoid model (2021)
Presentation / Conference Contribution
Altenkirch, T., Boulier, S., Kaposi, A., Sattler, C., & Sestini, F. (2021, March). Constructing a universe for the setoid model. Presented at 24th International Conference on Foundations of Software Science and Computation Structures (FOSSACS 2021), Online

The setoid model is a model of intensional type theory that validates certain extensionality principles, like function extensionality and propositional extensionality, the latter being a limited form of univalence that equates logically equivalent pr... Read More about Constructing a universe for the setoid model.

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.

Teaching Mathematics to Computer Scientists: Reflections and a Case Study (2021)
Journal Article
Neri, F. (2021). Teaching Mathematics to Computer Scientists: Reflections and a Case Study. SN Computer Science, 2(2), Article 75. https://doi.org/10.1007/s42979-021-00461-7

Mathematics, despite being the foundation of computer science, is nowadays often considered a totally separate subject. The fact that many jobs in computer science do not explicitly require any specific mathematical knowledge posed questions about th... Read More about Teaching Mathematics to Computer Scientists: Reflections and a Case Study.

Exploring touch-based behavioral authentication on smartphone email applications in IoT-enabled smart cities (2021)
Journal Article
Li, W., Meng, W., & Furnell, S. (2021). Exploring touch-based behavioral authentication on smartphone email applications in IoT-enabled smart cities. Pattern Recognition Letters, 144, 35-41. https://doi.org/10.1016/j.patrec.2021.01.019

© 2021 Elsevier B.V. The Internet of Things (IoT) allows various embedded devices and smart sensors to be connected with each other, which provides a basis for building smart cities. The IoT-enabled smart city can greatly benefit people's daily lives... Read More about Exploring touch-based behavioral authentication on smartphone email applications in IoT-enabled smart cities.

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.

Pulling Back the Curtain on the Wizards of Oz (2020)
Journal Article
Porcheron, M., Fischer, J. E., & Reeves, S. (2020). Pulling Back the Curtain on the Wizards of Oz. Proceedings of the ACM on Human-Computer Interaction, 4(CSCW3), Article 243. https://doi.org/10.1145/3432942

The Wizard of Oz method is an increasingly common practice in HCI and CSCW studies as part of iterative design processes for interactive systems. Instead of designing a fully-fledged system, the 'technical work' of key system components is completed... Read More about Pulling Back the Curtain on the Wizards of Oz.

A framework for differentiation in composed digital-physical products (2020)
Journal Article
Baumers, M., Ashcroft, I., Benford, S., Flintham, M., Koleva, B., Tóth, Z., & Winklhofer, H. (2020). A framework for differentiation in composed digital-physical products. International Journal of Mechatronics and Manufacturing Systems, 13(4), 286-298. https://doi.org/10.1504/IJMMS.2020.112351

Product-service systems (PSS) composed of physical products and digital services are emerging as an important new product category. In this paper we suggest that the established metaphor of 'layering' is insufficient to capture the diverse ways in wh... Read More about A framework for differentiation in composed digital-physical products.

Posture, movement, and aircraft passengers: An investigation into factors influencing in-flight discomfort (2020)
Journal Article
Sharafkhani, M., Argyle, E., Cobb, S., & Tennent, P. (2021). Posture, movement, and aircraft passengers: An investigation into factors influencing in-flight discomfort. WORK: A Journal of Prevention, Assessment & Rehabilitation, 68(s1), S183-S195. https://doi.org/10.3233/wor-208016

BACKGROUND: Aircraft passengers’ physical activity levels are often limited during flight for extended periods of time, which can have serious impact on health, comfort, and passenger experience. However, several factors, such as limited personal spa... Read More about Posture, movement, and aircraft passengers: An investigation into factors influencing in-flight discomfort.

Machine learning can predict disease manifestations and outcomes in lymphangioleiomyomatosis (2020)
Journal Article
Chernbumroong, S., Johnson, J., Gupta, N., Miller, S., Mccormack, F. X., Garibaldi, J. M., & Johnson, S. R. (2021). Machine learning can predict disease manifestations and outcomes in lymphangioleiomyomatosis. European Respiratory Journal, 57(6), Article 2003036. https://doi.org/10.1183/13993003.03036-2020

Background: Lymphangioleiomyomatosis (LAM) is a rare multisystem disease with variable clinical manifestations and differing rates of progression that make management decisions and giving prognostic advice difficult. We used machine learning to ident... Read More about Machine learning can predict disease manifestations and outcomes in lymphangioleiomyomatosis.

Software Fault Localisation via Probabilistic Modelling (2020)
Presentation / Conference Contribution
Johnson, C. (2020, December). Software Fault Localisation via Probabilistic Modelling. Presented at 40th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (AI 2020), Online

Software development is a complex activity requiring intelligent action. This paper explores the use of an AI technique for one step in software development, viz. detecting the location of a fault in a program. A measure of program progress is propos... Read More about Software Fault Localisation via Probabilistic Modelling.

Further Exploration of Necrotic Control of Evolved Art (2020)
Presentation / Conference Contribution
Ashlock, D., & Greensmith, J. (2020, December). Further Exploration of Necrotic Control of Evolved Art. Presented at 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, ACT, Australia

This study is the second in investigating the use of necrosis based filtration as a method of steering evolutionary algorithms to create evolved art. We use a technique inspired by the danger theory of immune system activation - a method employed in... Read More about Further Exploration of Necrotic Control of Evolved Art.