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Outputs (104)

Exploring self-tracking practices for those with lived experience of bipolar disorder: Learning from combined principles of Patient and Public Involvement and HCI (2022)
Presentation / Conference Contribution
Majid, S., Morriss, R., Figueredo, G., & Reeves, S. (2022, June). Exploring self-tracking practices for those with lived experience of bipolar disorder: Learning from combined principles of Patient and Public Involvement and HCI. Presented at DIS 2022 - Proceedings of the 2022 ACM Designing Interactive Systems Conference: Digital Wellbeing, Virtual Event, Australia

Bipolar Disorder (BD) is a complex, cyclical and chronic mental illness where self-tracking is central to self-management. Mobile technology is often leveraged to support this. Limited research has investigated the everyday practices of self-tracking... Read More about Exploring self-tracking practices for those with lived experience of bipolar disorder: Learning from combined principles of Patient and Public Involvement and HCI.

Crafting Trajectories of Smart Phone Use at the Opera (2022)
Journal Article
Greenhalgh, C., Hazzard, A., Benford, S., Cliffe, L., & Kelly, E. (2022). Crafting Trajectories of Smart Phone Use at the Opera. ACM Transactions on Computer-Human Interaction, 29(6), 1-37. https://doi.org/10.1145/3531007

Losing Her Voice is a new opera which highlights the challenges of subtly interweaving digital technologies into established cultural forms. Audience members were encouraged to use their own mobile phones to interact with on-stage projections before,... Read More about Crafting Trajectories of Smart Phone Use at the Opera.

Visual Analytics of Contact Tracing Policy Simulations During an Emergency Response (2022)
Journal Article
Sondag, M., Turkay, C., Xu, K., Matthews, L., Mohr, S., & Archambault, D. (2022). Visual Analytics of Contact Tracing Policy Simulations During an Emergency Response. Computer Graphics Forum, 41(3), 29-41. https://doi.org/10.1111/cgf.14520

Epidemiologists use individual-based models to (a) simulate disease spread over dynamic contact networks and (b) to investigate strategies to control the outbreak. These model simulations generate complex ‘infection maps’ of time-varying transmission... Read More about Visual Analytics of Contact Tracing Policy Simulations During an Emergency Response.

Push-to-See: Learning Non-Prehensile Manipulation to Enhance Instance Segmentation via Deep Q-Learning (2022)
Presentation / Conference Contribution
Serhan, B., Pandya, H., Kucukyilmaz, A., & Neumann, G. (2022, May). Push-to-See: Learning Non-Prehensile Manipulation to Enhance Instance Segmentation via Deep Q-Learning. Presented at 2022 IEEE International Conference on Robotics and Automation (ICRA 2022), Philadelphia, USA

Efficient robotic manipulation of objects for sorting and searching often rely upon how well the objects are perceived and the available grasp poses. The challenge arises when the objects are irregular, have similar visual features (e.g., textureless... Read More about Push-to-See: Learning Non-Prehensile Manipulation to Enhance Instance Segmentation via Deep Q-Learning.

Tackling communication and analytical problems in environmental planning: Expert assessment of key definitions and their relationships (2022)
Journal Article
Wallace, K. J., Wagner, C., Pannell, D. J., Kim, M. K., & Rogers, A. A. (2022). Tackling communication and analytical problems in environmental planning: Expert assessment of key definitions and their relationships. Journal of Environmental Management, 317, Article 115352. https://doi.org/10.1016/j.jenvman.2022.115352

Inadequate definition of key terms and their relationships generates significant communication and analytical problems in environmental planning. In this work, we evaluate an ontological framework for environmental planning designed to combat these p... Read More about Tackling communication and analytical problems in environmental planning: Expert assessment of key definitions and their relationships.

Responsible AI, SDGs, and AI Governance in Africa (2022)
Presentation / Conference Contribution
Wakunuma, K., Ogoh, G., Eke, D. O., & Akintoye, S. (2022, May). Responsible AI, SDGs, and AI Governance in Africa. Presented at 2022 IST-Africa Conference (IST-Africa), Ireland

More than ever before, AI is now an area of national strategic importance. This has become quite evident with the proliferation of national AI strategies since the first was launched in Canada in 2017. There is now an ever-growing body of national AI... Read More about Responsible AI, SDGs, and AI Governance in Africa.

Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities (2022)
Journal Article
Calderon-Ramirez, S., Yang, S., Elizondo, D., & Moemeni, A. (2022). Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities. Applied Soft Computing, 123, Article 108983. https://doi.org/10.1016/j.asoc.2022.108983

In the context of the global coronavirus pandemic, different deep learning solutions for infected subject detection using chest X-ray images have been proposed. However, deep learning models usually need large labelled datasets to be effective. Semi-... Read More about Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities.

Modelling the emergence of cities and urban patterning using coupled integro-differential equations (2022)
Journal Article
Whiteley, T. D., Avitabile, D., Siebers, P. O., Robinson, D., & Owen, M. R. (2022). Modelling the emergence of cities and urban patterning using coupled integro-differential equations. Journal of the Royal Society, Interface, 19(190), Article 20220176. https://doi.org/10.1098/rsif.2022.0176

Human residential population distributions show patterns of higher density clustering around local services such as shops and places of employment, displaying characteristic length scales; Fourier transforms and spatial autocorrelation show the lengt... Read More about Modelling the emergence of cities and urban patterning using coupled integro-differential equations.

A Study on the Effects of Cognitive Overloading and Distractions on Human Movement During Robot-Assisted Dressing (2022)
Journal Article
Camilleri, A., Dogramadzi, S., & Caleb-Solly, P. (2022). A Study on the Effects of Cognitive Overloading and Distractions on Human Movement During Robot-Assisted Dressing. Frontiers in Robotics and AI, 9, Article 815871. https://doi.org/10.3389/frobt.2022.815871

For robots that can provide physical assistance, maintaining synchronicity of the robot and human movement is a precursor for interaction safety. Existing research on collaborative HRI does not consider how synchronicity can be affected if humans are... Read More about A Study on the Effects of Cognitive Overloading and Distractions on Human Movement During Robot-Assisted Dressing.