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All Outputs (2001)

Metaverse: The Vision for the Future (2022)
Presentation / Conference Contribution
Xu, J., Papangelis, K., Dunham, J., Goncalves, J., LaLone, N. J., Chamberlain, A., …Schwartz, D. I. (2022). Metaverse: The Vision for the Future. In CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (1-3). https://doi.org/10.1145/3491101.3516399

In recent years, the notion of the Metaverse has become the focus of a growing body of work in the industry. However, there is no consensus on the conceptualization in academia. To date, much of this attention has revolved around technological challe... Read More about Metaverse: The Vision for the Future.

Unpacking Practitioners' Attitudes Towards Codifications of Design Knowledge for Voice User Interfaces (2022)
Presentation / Conference Contribution
Khemani, K. H., & Reeves, S. (2022). Unpacking Practitioners' Attitudes Towards Codifications of Design Knowledge for Voice User Interfaces. In CHI '22: CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3491102.3517623

Recent HCI research has sought to develop guidelines-'heuristics', 'best practices', 'principles' and so on-for voice user interfaces (VUI) to aid both practitioners and researchers in improving the quality of VUI-based design. However, limited resea... Read More about Unpacking Practitioners' Attitudes Towards Codifications of Design Knowledge for Voice User Interfaces.

The Impact of Motion Scaling and Haptic Guidance on Operators’ Workload and Performance in Teleoperation (2022)
Presentation / Conference Contribution
Parsa, S., Maior, H. A., Thumwood, A. R. E., Wilson, M. L., Hanheide, M., & Esfahani, A. G. (2022). The Impact of Motion Scaling and Haptic Guidance on Operators’ Workload and Performance in Teleoperation. In CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (Article No.: 253). https://doi.org/10.1145/3491101.3519814

The use of human operator managed robotics, especially for safety critical work, includes a shift from physically demanding to mentally challenging work, and new techniques for Human-Robot Interaction are being developed to make teleoperation easier... Read More about The Impact of Motion Scaling and Haptic Guidance on Operators’ Workload and Performance in Teleoperation.

Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets (2022)
Journal Article
Calderon-Ramirez, S., Oala, L., Torrentes-Barrena, J., Yang, S., Elizondo, D., Moemeni, A., …Lopez-Rubio, E. (2023). Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets. IEEE Transactions on Artificial Intelligence, 4(2), 282-291. https://doi.org/10.1109/tai.2022.3168804

Semi-supervised deep learning (SSDL) is a popular strategy to leverage unlabelled data for machine learning when labelled data is not readily available. In real-world scenarios, different unlabelled data sources are usually available, with varying de... Read More about Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets.

Demonstrating Interaction: The Case of Assistive Technology (2022)
Journal Article
Reyes-Cruz, G., Fischer, J. E., & Reeves, S. (2022). Demonstrating Interaction: The Case of Assistive Technology. ACM Transactions on Computer-Human Interaction, 29(5), 1-37. https://doi.org/10.1145/3514236

Technology "demos"have become a staple in technology design practice, especially for showcasing prototypes or systems. However, demonstrations are also commonplace and multifaceted phenomena in everyday life, and thus have found their way into empiri... Read More about Demonstrating Interaction: The Case of Assistive Technology.

Data-Driven Visiting Experiences (2022)
Book Chapter
Benford, S., Darzentas, D., Bodiaj, E., Tennent, P., Martindale, S., Cameron, H., & Spors, V. (2022). Data-Driven Visiting Experiences. In A. Waern, & A. S. Løvlie (Eds.), Hybrid Museum Experiences: Theory and Design (157-175). Amsterdam University Press. https://doi.org/10.5117/9789463726443

Data is seen as the ‘new oil’ that drives the digital economy, and museums are no exception to this. We investigate how data captured from hybrid museum experiences can become a resource for designers, for museums, and for visitors in their understan... Read More about Data-Driven Visiting Experiences.

RAT-RS: a reporting standard for improving the documentation of data use in agent-based modelling (2022)
Journal Article
Achter, S., Borit, M., Chattoe-Brown, E., & Siebers, P. (2022). RAT-RS: a reporting standard for improving the documentation of data use in agent-based modelling. International Journal of Social Research Methodology, 25(4), 517-540. https://doi.org/10.1080/13645579.2022.2049511

This article describes and justifies a reporting standard to improve data use documentation in Agent-Based Modelling. Following the development of reporting standards for models themselves, empirical modelling has now developed to the point where the... Read More about RAT-RS: a reporting standard for improving the documentation of data use in agent-based modelling.

Predictability of higher heating value of biomass feedstocks via proximate and ultimate analyses – A comprehensive study of artificial neural network applications (2022)
Journal Article
Güleç, F., Pekaslan, D., Williams, O., & Lester, E. (2022). Predictability of higher heating value of biomass feedstocks via proximate and ultimate analyses – A comprehensive study of artificial neural network applications. Fuel, 320, Article 123944. https://doi.org/10.1016/j.fuel.2022.123944

Higher heating value (HHV) is a key characteristic for the assessment and selection of biomass feedstocks as a fuel source. The HHV is usually measured using an adiabatic oxygen bomb calorimeter; however, this method can be time consuming and expensi... Read More about Predictability of higher heating value of biomass feedstocks via proximate and ultimate analyses – A comprehensive study of artificial neural network applications.

Identification of QTL and underlying genes for root system architecture associated with nitrate nutrition in hexaploid wheat (2022)
Journal Article
GRIFFITHS, M., ATKINSON, J. A., Gardiner, L. J., SWARUP, R., POUND, M. P., WILSON, M. H., …WELLS, D. M. (2022). Identification of QTL and underlying genes for root system architecture associated with nitrate nutrition in hexaploid wheat. Journal of Integrative Agriculture, 21(4), 917-932. https://doi.org/10.1016/s2095-3119%2821%2963700-0

The root system architecture (RSA) of a crop has a profound effect on the uptake of nutrients and consequently the potential yield. However, little is known about the genetic basis of RSA and resource adaptive responses in wheat (Triticum aestivum L.... Read More about Identification of QTL and underlying genes for root system architecture associated with nitrate nutrition in hexaploid wheat.

Efficiency Focused Energy Management Strategy Based on Optimal Droop Gain Design for More Electric Aircraft (2022)
Journal Article
Mohamed, M. A., Yeoh, S. S., Atkin, J., Hussaini, H., & Bozhko, S. (2022). Efficiency Focused Energy Management Strategy Based on Optimal Droop Gain Design for More Electric Aircraft. IEEE Transactions on Transportation Electrification, 8, 4205-4218. https://doi.org/10.1109/tte.2022.3159731

Due to the substantial increase of the number of electrically-driven systems on-board More Electric Aircraft (MEA), the on-board Electric Power Systems (EPS) are becoming more and more complex. Therefore, there is a need to develop a control strategy... Read More about Efficiency Focused Energy Management Strategy Based on Optimal Droop Gain Design for More Electric Aircraft.

A European Agency for Artificial Intelligence: Protecting fundamental rights and ethical values (2022)
Journal Article
Stahl, B. C., Rodrigues, R., Santiago, N., & Macnish, K. (2022). A European Agency for Artificial Intelligence: Protecting fundamental rights and ethical values. Computer Law and Security Review, 45, Article 105661. https://doi.org/10.1016/j.clsr.2022.105661

Following years of intensive international debate of the ethical and human rights implications of artificial intelligence (AI)-related technologies, there are numerous proposals to legislate and regulate these technologies. One aspect of possible leg... Read More about A European Agency for Artificial Intelligence: Protecting fundamental rights and ethical values.

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). Learning from Carers to inform the Design of Safe Physically Assistive Robots - Insights from a Focus Group Study. In 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2022) (703-707). https://doi.org/10.1109/hri53351.2022.9889658

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.

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., …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., …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. [Dataset]. 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.