Outputs (122)

Learning from Carers to inform the Design of Safe Physically Assistive Robots - Insights from a Focus Group Study (2022)
Presentation / Conference Contribution
Camilleri, A., Dogramadzi, S., & Caleb-Solly, P. (2022, March). Learning from Carers to inform the Design of Safe Physically Assistive Robots - Insights from a Focus Group Study. Presented at 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Sapporo, Japan

This research investigates how professional carers physically assist frail older adults. Carers were asked to discuss their approach and steps for providing safe physical assistance and highlight hazards that assistive robots would have to deal with... Read More about Learning from Carers to inform the Design of Safe Physically Assistive Robots - Insights from a Focus Group Study.

A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica (2022)
Journal Article
Calderon-Ramirez, S., Murillo-Hernandez, D., Rojas-Salazar, K., Elizondo, D., Yang, S., Moemeni, A., & Molina-Cabello, M. (2022). A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica. Medical and Biological Engineering and Computing, 60(4), 1159-1175. https://doi.org/10.1007/s11517-021-02497-6

The implementation of deep learning-based computer-aided diagnosis systems for the classification of mammogram images can help in improving the accuracy, reliability, and cost of diagnosing patients. However, training a deep learning model requires a... Read More about A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica.

The newborn delivery room of tomorrow: emerging and future technologies (2022)
Journal Article
Batey, N., Henry, C., Garg, S., Wagner, M., Malhotra, A., Valstar, M., Smith, T., Sharkey, D., & European Society for Paediatric Research (ESPR) Neonatal Resuscitation Section Writing Group. (2024). The newborn delivery room of tomorrow: emerging and future technologies. Pediatric Research, 96(3), 586-594. https://doi.org/10.1038/s41390-022-01988-y

Advances in neonatal care have resulted in improved outcomes for high-risk newborns with technologies playing a significant part although many were developed for the neonatal intensive care unit. The care provided in the delivery room (DR) during the... Read More about The newborn delivery room of tomorrow: emerging and future technologies.

Sensitive Pictures: Emotional Interpretation in the Museum (2022)
Preprint / Working Paper
Benford, S., Sundnes Løvlie, A., Ryding, K., Rajkowska, P., Bodiaj, E., Paris Darzentas, D., Cameron, H. R., Spence, J., Egede, J., & Spanjevic, B. (2022). Sensitive Pictures: Emotional Interpretation in the Museum

Museums are interested in designing emotional visitor experiences to complement traditional interpretations. HCI is interested in the relationship between Affective Computing and Affective Interaction. We describe Sensitive Pictures, an emotional vis... Read More about Sensitive Pictures: Emotional Interpretation in the Museum.

Using Patient and Public Involvement to Elicit Opinion on Cognitive Training Games and Assessment Technologies for Dementia (2022)
Preprint / Working Paper
Harrington, K., Craven, M. P., Wilson, M. L., & Landowska, A. Using Patient and Public Involvement to Elicit Opinion on Cognitive Training Games and Assessment Technologies for Dementia

Background:

Cognitive training and assessment technologies offer the promise of dementia risk reduction and more timely diagnosis of dementia respectively. Cognitive training technologies may help to reduce the lifetime risk of dementia by helping... Read More about Using Patient and Public Involvement to Elicit Opinion on Cognitive Training Games and Assessment Technologies for Dementia.

Data-inspired co-design for museum and gallery visitor experiences (2022)
Journal Article
Darzentas, D., Cameron, H., Wagner, H., Craigon, P., Bodiaj, E., Spence, J., Tennent, P., & Benford, S. (2022). Data-inspired co-design for museum and gallery visitor experiences. AI EDAM, 36, Article e3. https://doi.org/10.1017/S0890060421000317

The capture and analysis of diverse data is widely recognized as being vital to the design of new products and services across the digital economy. We focus on its use to inspire the co-design of visitor experiences in museums as a distinctive case t... Read More about Data-inspired co-design for museum and gallery visitor experiences.

Brain simulation as a cloud service: The Virtual Brain on EBRAINS (2022)
Journal Article
Schirner, M., Domide, L., Perdikis, D., Triebkorn, P., Stefanovski, L., Pai, R., Prodan, P., Valean, B., Palmer, J., Langford, C., Blickensdörfer, A., van der Vlag, M., Diaz-Pier, S., Peyser, A., Klijn, W., Pleiter, D., Nahm, A., Schmid, O., Woodman, M., Zehl, L., …Ritter, P. (2022). Brain simulation as a cloud service: The Virtual Brain on EBRAINS. NeuroImage, 251, Article 118973. https://doi.org/10.1016/j.neuroimage.2022.118973

The Virtual Brain (TVB) is now available as open-source services on the cloud research platform EBRAINS (ebrains.eu). It offers software for constructing, simulating and analysing brain network models including the TVB simulator; magnetic resonance i... Read More about Brain simulation as a cloud service: The Virtual Brain on EBRAINS.

Complying with the GDPR when vulnerable people use smart devices (2022)
Journal Article
Piasecki, S., & Chen, J. (2022). Complying with the GDPR when vulnerable people use smart devices. International Data Privacy Law, 12(2), 113-131. https://doi.org/10.1093/idpl/ipac001

The number of smart home devices is increasing. They are used by vulnerable people regardless of whether they are designed specifically for them or for the general population (eg, smart door locks, smart alarms, or voice assistants). This article foc... Read More about Complying with the GDPR when vulnerable people use smart devices.

Data and statistical analysis scripts for manuscript on wheat root response to nitrate using X-ray CT and OpenSimRoot (2022)
Data
(2022). Data and statistical analysis scripts for manuscript on wheat root response to nitrate using X-ray CT and OpenSimRoot. [Data]. https://doi.org/10.5281/zenodo.5504299

Data and statistical analysis scripts for manuscript on wheat root response to nitrate using X-ray CT and OpenSimRoot

X-ray CT reveals 4D root system development and lateral root responses to nitrate in soil - [https://doi.org/10.1002/ppj2.20036]... Read More about Data and statistical analysis scripts for manuscript on wheat root response to nitrate using X-ray CT and OpenSimRoot.

Examining the influential factors of consumer purchase intentions for blockchain traceable coffee using the theory of planned behaviour (2022)
Journal Article
Dionysis, S., Chesney, T., & McAuley, D. (2022). Examining the influential factors of consumer purchase intentions for blockchain traceable coffee using the theory of planned behaviour. British Food Journal, 124(12), 4304-4322. https://doi.org/10.1108/BFJ-05-2021-0541

Purpose: Given the increasing industry interest in blockchain technologies for supply chain management and product traceability, this paper aims to investigate consumer purchasing intentions for blockchain traceable coffee and their psychosocial ante... Read More about Examining the influential factors of consumer purchase intentions for blockchain traceable coffee using the theory of planned behaviour.