Outputs (130)

Seeing with New Eyes: Designing for In-the-Wild Museum Gifting (2019)
Presentation / Conference Contribution
Spence, J., Bedwell, B., Coleman, M., Benford, S., Koleva, B. N., Adams, M., Farr, J. R., Tandavanitj, N., & Løvlie, A. S. (2019, May). Seeing with New Eyes: Designing for In-the-Wild Museum Gifting. Presented at CHI '19: CHI Conference on Human Factors in Computing Systems, Glasgow, Scotland, UK

This paper presents the GIFT smartphone app, an artist-led Research through Design project benefitting from a three-day in-the-wild deployment. The app takes as its premise the generative potential of combining the contexts of gifting and museum visi... Read More about Seeing with New Eyes: Designing for In-the-Wild Museum Gifting.

Card Mapper: Enabling Data-Driven Reflections on Ideation Cards (2019)
Presentation / Conference Contribution
Darzentas, D., Velt, R., Wetzel, R., Craigon, P. J., Wagner, H. G., Urquhart, L. D., & Benford, S. (2019, May). Card Mapper: Enabling Data-Driven Reflections on Ideation Cards. Presented at 2019 CHI Conference on Human Factors in Computing Systems (CHI '19), Glasgow, Scotland Uk

We explore how usage data captured from ideation cards can enable reflection on design. We deployed a deck of ideation cards on a Masters level module over two years, developing the means to capture the students’ designs into a digital repository. We... Read More about Card Mapper: Enabling Data-Driven Reflections on Ideation Cards.

The Performative Mirror Space (2019)
Presentation / Conference Contribution
Jacobs, R., Schnadelbach, H., Jaeger, N., Leal, S., Shackford, R., Benford, S., & Patel, R. (2019, May). The Performative Mirror Space. Presented at CHI '19: CHI Conference on Human Factors in Computing Systems, Glasgow, Scotland, UK

Interactive mirrors, typically combining semi-transparent mirrors, digital screens and interaction mechanisms have been developed for a variety of application areas. Drawing on existing techniques to create interactive mirror spaces, we investigated... Read More about The Performative Mirror Space.

The Heat is On: Exploring User Behaviour in a Multisensory Virtual Environment for Fire Evacuation (2019)
Presentation / Conference Contribution
Shaw, E., Roper, T., Nilsson, T., Lawson, G., Cobb, S. V., & Miller, D. (2019, May). The Heat is On: Exploring User Behaviour in a Multisensory Virtual Environment for Fire Evacuation. Presented at CHI '19: CHI Conference on Human Factors in Computing Systems, Glasgow Scotland Uk

Understanding validity of user behaviour in Virtual Environments (VEs) is critical as they are increasingly being used for serious Health and Safety applications such as predicting human behaviour and training in hazardous situations. This paper pres... Read More about The Heat is On: Exploring User Behaviour in a Multisensory Virtual Environment for Fire Evacuation.

Accessible Instruments in the Wild: Engaging with a Community of Learning-Disabled Musicians (2019)
Presentation / Conference Contribution
Harrison, J., Chamberlain, A., & McPherson, A. P. (2019, May). Accessible Instruments in the Wild: Engaging with a Community of Learning-Disabled Musicians. Presented at CHI '19: CHI Conference on Human Factors in Computing Systems, Glasgow, UK

Disabled people face many barriers to access in all areas of life, including creative expression. With music making, a lack of accessible instruments can be a major barrier, as well as environmental factors. The Strummi is an accessible instrument ba... Read More about Accessible Instruments in the Wild: Engaging with a Community of Learning-Disabled Musicians.

A convolutional neural network for fast upsampling of undersampled tomograms in X-ray CT time-series using a representative highly sampled tomogram (2019)
Journal Article
Bellos, D., Basham, M., Pridmore, T., & French, A. P. (2019). A convolutional neural network for fast upsampling of undersampled tomograms in X-ray CT time-series using a representative highly sampled tomogram. Journal of Synchrotron Radiation, 26(3), 839-853. https://doi.org/10.1107/s1600577519003448

We designed a convolutional neural network to quickly and accurately upscale the sinograms of x-ray tomograms captured with a low number of projections; effectively increasing the number of projections. This is particularly useful for tomograms that... Read More about A convolutional neural network for fast upsampling of undersampled tomograms in X-ray CT time-series using a representative highly sampled tomogram.

Virtual porous materials to predict the air void topology and hydraulic conductivity of asphalt roads (2019)
Journal Article
Aboufoul, M., Chiarelli, A., Triguero, I., & Garcia, A. (2019). Virtual porous materials to predict the air void topology and hydraulic conductivity of asphalt roads. Powder Technology, 352, 294-304. https://doi.org/10.1016/j.powtec.2019.04.072

This paper investigates the effects of air void topology on hydraulic conductivity in asphalt mixtures with porosity in the range 14%–31%. Virtual asphalt pore networks were generated using the Intersected Stacked Air voids (ISA) method, with its par... Read More about Virtual porous materials to predict the air void topology and hydraulic conductivity of asphalt roads.

Evaluating information security core human error causes (IS-CHEC) technique in public sector and comparison with the private sector (2019)
Journal Article
Evans, M., He, Y., Maglaras, L., Yevseyeva, I., & Janicke, H. (2019). Evaluating information security core human error causes (IS-CHEC) technique in public sector and comparison with the private sector. International Journal of Medical Informatics, 127, 109-119. https://doi.org/10.1016/j.ijmedinf.2019.04.019

Background

The number of reported public sector information security incidents has significantly increased recently including 22% related to the UK health sector. Over two thirds of these incidents pertain to human error, but despite this, there a... Read More about Evaluating information security core human error causes (IS-CHEC) technique in public sector and comparison with the private sector.

Active Vision and Surface Reconstruction for 3D Plant Shoot Modelling (2019)
Journal Article
Gibbs, J., French, A., Murchie, E., Wells, D., Pound, M., & Pridmore, T. (2020). Active Vision and Surface Reconstruction for 3D Plant Shoot Modelling. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17(6), 1907-1917. https://doi.org/10.1109/TCBB.2019.2896908

Plant phenotyping is the quantitative description of a plant’s physiological, biochemical and anatomical status which can be used in trait selection and helps to provide mechanisms to link underlying genetics with yield. Here, an active vision- based... Read More about Active Vision and Surface Reconstruction for 3D Plant Shoot Modelling.

A review on the self and dual interactions between machine learning and optimisation (2019)
Journal Article
Song, H., Triguero, I., & Özcan, E. (2019). A review on the self and dual interactions between machine learning and optimisation. Progress in Artificial Intelligence, 8(2), 143–165. https://doi.org/10.1007/s13748-019-00185-z

Machine learning and optimisation are two growing fields of artificial intelligence with an enormous number of computer science applications. The techniques in the former area aim to learn knowledge from data or experience, while the techniques from... Read More about A review on the self and dual interactions between machine learning and optimisation.