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All Outputs (205)

Museums of the Future: Heritage Experiences in the Reality-Virtuality Continuum (2021)
Presentation / Conference Contribution
Woolley, S., Collins, T., Rhodes, R., & Polack, F. (2021, July). Museums of the Future: Heritage Experiences in the Reality-Virtuality Continuum. Presented at 34th British Human Computer Interaction Conference, London, UK - University of West London

In this paper we reflect on the interplay and the disconnects between real and virtual heritage experiences, and the fragmented nature of digital experiences. We consider the important engagement potential that virtual interactions bring to small les... Read More about Museums of the Future: Heritage Experiences in the Reality-Virtuality Continuum.

15 Usability Recommendations for Delivering Clinical Guidelines on Mobile Devices (2021)
Presentation / Conference Contribution
Mitchell, J., De Quincey, E., Pantin, C., & Mustfa, N. (2021, July). 15 Usability Recommendations for Delivering Clinical Guidelines on Mobile Devices. Presented at 34th British HCI Conference, London, UK

Local point of care clinical guidelines exist in numerous formats and cover a variety of clinical information, normally created on a national and local level. They are generally available as basic web pages, PDFs or documents. Despite widespread avai... Read More about 15 Usability Recommendations for Delivering Clinical Guidelines on Mobile Devices.

Virtual Museum ‘Takeouts’ and DIY Exhibitions –Augmented Reality Apps for Scholarship, Citizen Science and Public Engagement (2021)
Presentation / Conference Contribution
Woolley, S., Mitchell, J., Collins, T., Rhodes, R., Rukasha, T., Gehlken, E., Ch'ng, E., & Cooke, A. (2020, November). Virtual Museum ‘Takeouts’ and DIY Exhibitions –Augmented Reality Apps for Scholarship, Citizen Science and Public Engagement. Presented at International Conference on Digital Heritage (EuroMed 2020), Cyprus (online)

This paper presents an Augmented Reality (AR) project for the curation of virtual museum ‘takeouts’ and DIY exhibitions. The project’s outputs include novel AR app technology demonstrators, to support co-design with museum users and stakeholders - th... Read More about Virtual Museum ‘Takeouts’ and DIY Exhibitions –Augmented Reality Apps for Scholarship, Citizen Science and Public Engagement.

Virtual Museum ‘Takeouts’ and DIY Exhibitions–Augmented Reality Apps for Scholarship, Citizen Science and Public Engagement (2021)
Presentation / Conference Contribution
Woolley, S., Mitchell, J., Collins, T., Rhodes, R., Rukasha, T., Gehlken, E., Ch’ng, E., & Cooke, A. (2020, November). Virtual Museum ‘Takeouts’ and DIY Exhibitions–Augmented Reality Apps for Scholarship, Citizen Science and Public Engagement. Presented at 8th International Conference, EuroMed 2020 - Virtual

This paper presents an Augmented Reality (AR) project for the curation of virtual museum ‘takeouts’ and DIY exhibitions. The project’s outputs include novel AR app technology demonstrators to support co-design with museum users and stakeholders - the... Read More about Virtual Museum ‘Takeouts’ and DIY Exhibitions–Augmented Reality Apps for Scholarship, Citizen Science and Public Engagement.

Multi-Criteria Decision Support System for Lung Cancer Prediction (2021)
Presentation / Conference Contribution
Al-Bander, B., Fadil, Y., & Mahdi, H. (2020, December). Multi-Criteria Decision Support System for Lung Cancer Prediction. Presented at 2nd International Scientific Conference of Engineering Sciences (ISCES 2020), Diyala, Iraq

<jats:title>Abstract</jats:title> <jats:p>Lung cancer is one of the most common deadly malignant tumours, with the most rapid morbidity and death worldwide. Cancer risk prediction is a challenging and complex task in the field of healthcare. Many stu... Read More about Multi-Criteria Decision Support System for Lung Cancer Prediction.

A comparative evaluation of time-delay, deep learning and echo state neural networks when used as simulated transhumeral prosthesis controllers (2020)
Presentation / Conference Contribution
Day, C. R., Chadwick, E. K., & Blana, D. (2020, July). A comparative evaluation of time-delay, deep learning and echo state neural networks when used as simulated transhumeral prosthesis controllers. Presented at 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, Scotland, UK

Transhumeral amputation has a considerable detrimental effect on the amputee’s quality of life and independence. Previous work has already established the potential for exploiting proximal humerus myoelectric and kinematic signals for the effective c... Read More about A comparative evaluation of time-delay, deep learning and echo state neural networks when used as simulated transhumeral prosthesis controllers.

Wearable epilepsy seizure monitor user interface evaluation (2020)
Presentation / Conference Contribution
Rukasha, T., Woolley, S. I., & Collins, T. (2020, September). Wearable epilepsy seizure monitor user interface evaluation. Presented at UbiComp/ISWC '20 Adjunct: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, Virtual Event (Mexico Based)

Wearable health devices have the potential to incentivize individuals in health-promoting behaviors and to assist in the monitoring of health conditions. Wearable epilepsy seizure monitoring devices are now evolving that can support individuals and t... Read More about Wearable epilepsy seizure monitor user interface evaluation.

Reflections on the Doctoral Consortium (2020)
Presentation / Conference Contribution
Flint, T., Sim, G., Bond, R., Woolley, S., Dix, A., & Hall, L. Reflections on the Doctoral Consortium. Presented at Proceedings of the 33rd International BCS Human Computer Interaction Conference (BCS HCI 2020), Keele University, UK

This paper provides a reflective commentary on the British HCI Doctoral Consortium from the perspective of the Organising Committee. We discuss the approach to holding a Human Computer Interaction Doctoral Consortium in July 2020 and the outcomes. We... Read More about Reflections on the Doctoral Consortium.

BCS HCI 2020 - Index (2020)
Presentation / Conference Contribution
Woolley, S., Sim, G., Flint, T., Bond, R., Hall, L., & Dix, A. BCS HCI 2020 - Index

A Bidirectional Subsethood Based Fuzzy Measure for Aggregation of Interval-Valued Data (2020)
Presentation / Conference Contribution
Kabir, S., & Wagner, C. (2020, June). A Bidirectional Subsethood Based Fuzzy Measure for Aggregation of Interval-Valued Data. Presented at IPMU 2020 - Information Processing and Management of Uncertainty in Knowledge-Based Systems, Lisbon, Portugal

Recent advances in the literature have leveraged the fuzzy integral (FI), a powerful multi-source aggregation operator, where a fuzzy measure (FM) is used to capture the worth of all combinations of subsets of sources. While in most applications, the... Read More about A Bidirectional Subsethood Based Fuzzy Measure for Aggregation of Interval-Valued Data.

Visualising the Invisible: Augmented Reality and Virtual Reality as Persuasive Technologies for Energy Feedback (2020)
Presentation / Conference Contribution
David Fredericks, A., Fan, Z., & Woolley, S. I. (2019, August). Visualising the Invisible: Augmented Reality and Virtual Reality as Persuasive Technologies for Energy Feedback. Presented at Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, UIC-ATC, Leicester, UK

In the last fifteen years, the outlook for engaging direct energy feedback as a method of effectively curtailing domestic energy consumption has grown more pessimistic. Continuing studies and reviews suggest the impact of such techniques on consumers... Read More about Visualising the Invisible: Augmented Reality and Virtual Reality as Persuasive Technologies for Energy Feedback.

Seven-Point Checklist with Convolutional Neural Networks for Melanoma Diagnosis (2019)
Presentation / Conference Contribution
Alzahrani, S., Al-Nuaimy, W., & Al-Bander, B. (2019, October). Seven-Point Checklist with Convolutional Neural Networks for Melanoma Diagnosis. Presented at 2019 8th European Workshop on Visual Information Processing (EUVIP), Roma, Italy

Reliable skin lesion detection is an important pre-requisite for melanoma and other skin diseases diagnosis. Existing melanoma assessment models consider either pattern analysis methods or seven-point checklist criteria to investigate skin lesion. Ho... Read More about Seven-Point Checklist with Convolutional Neural Networks for Melanoma Diagnosis.

A gyro-elastic device for cloaking of elastic waves in micro-structured materials (2019)
Presentation / Conference Contribution
Garau, M., Nieves, M., Carta, G., & Brun, M. (2019, September). A gyro-elastic device for cloaking of elastic waves in micro-structured materials. Presented at International Congress on Advanced Electromagnetic Materials in Microwaves and Optics (METAMATERIALS), Rome, Italy

The design of a structured gyro-elastic system capable of being used as a cloaking device for a discrete medium is discussed. The efficiency of the gyro-elastic cloak, composed of springs connecting periodically placed masses, attached to gyroscopic... Read More about A gyro-elastic device for cloaking of elastic waves in micro-structured materials.

Measuring Similarity Between Discontinuous Intervals - Challenges and Solutions (2019)
Presentation / Conference Contribution
Kabir, S., Wagner, C., Havens, T. C., & Anderson, D. T. (2019, June). Measuring Similarity Between Discontinuous Intervals - Challenges and Solutions. Presented at 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), New Orleans, LA, USA

Discontinuous intervals (DIs) arise in a wide range of contexts, from real world data capture of human opinion to α-cuts of non-convex fuzzy sets. Commonly, for assessing the similarity of DIs, the latter are converted into their continuous form, fol... Read More about Measuring Similarity Between Discontinuous Intervals - Challenges and Solutions.

Using Fuzzy Inference system for detection the edges of Musculoskeletal Ultrasound Images (2019)
Presentation / Conference Contribution
Ibraheem Jabbar, S., Day, C. R., & Chadwick, E. K. (2019, June). Using Fuzzy Inference system for detection the edges of Musculoskeletal Ultrasound Images

Edge detection in Musculoskeletal Ultrasound Imaging readily allows an ultrasound image to be rendered as a binary image. This facilitates automated measurement of geometric parameters, such as muscle thickness, circumference and cross-sectional area... Read More about Using Fuzzy Inference system for detection the edges of Musculoskeletal Ultrasound Images.

Enhanced Deep Video Summarization Network (2019)
Presentation / Conference Contribution
Gonuguntla, N., Mandal, B., & Puhan, N. (2019, September). Enhanced Deep Video Summarization Network. Paper presented at 30th British Machine Vision Conference, Cardiff

Video summarization is understanding video which aims to get an abstract view of the original video sequence by the concatenation of keyframes representing the highlights of the video. In this work, we propose an enhanced deep summarization network (... Read More about Enhanced Deep Video Summarization Network.

Cross-spectral Periocular Recognition: a Survey (2019)
Presentation / Conference Contribution
Behera, S., Mandal, B., & Puhan, N. (2018, August). Cross-spectral Periocular Recognition: a Survey. Presented at 3rd International Conference on Emerging Research in Electronics, Computer Science and Technology - International Conference, ICERECT 2018

Among many biometrics such as face, iris, fingerprint and others, periocular region has the advantages over other biometrics because it is non-intrusive and serves as a balance between iris or eye region (very stringent, small area) and the whole fac... Read More about Cross-spectral Periocular Recognition: a Survey.

Problems with Statistical Practice in Software Engineering Research (2019)
Presentation / Conference Contribution
Kitchenham, B., Madeyski, L., & Brereton, P. (2019, April). Problems with Statistical Practice in Software Engineering Research. Presented at EASE '19: Proceedings of the 23rd International Conference on Evaluation and Assessment in Software Engineering, Copenhagen, Denmark

Background
Examples of questionable statistical practice, when published in high quality software engineering (SE) journals, may lead to novice researchers adopting incorrect statistical practices.

Objective
Our goal is to highlight issues contr... Read More about Problems with Statistical Practice in Software Engineering Research.

Measuring and Testing the Scalability of Cloud-based Software Services (2019)
Presentation / Conference Contribution
Al-Said Ahmad, A., & Andras, P. (2018, October). Measuring and Testing the Scalability of Cloud-based Software Services

Performance and scalability testing and measurements of cloud-based software services are critically important in the context of rapid growth of cloud computing and supporting the delivery of these services. Cloud-based software services performance... Read More about Measuring and Testing the Scalability of Cloud-based Software Services.