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All Outputs (6)

iSee: demonstration video. [video recording] (2023)
Digital Artefact
WIJEKOON, A., WIRATUNGA, N., PALIHAWADANA, C., NKISI-ORJI, I., CORSAR, D. and MARTIN, K. 2023. iSee: demonstration video. [video recording]. New York: ACM [online]. Available from: https://dl.acm.org/doi/10.1145/3581754.3584137#sec-supp

This output presents a demonstration of the iSee platform. iSee is an ongoing project aimed at improving the user experience of AI by harnessing experiences and best practices in Explainable AI. To this end, iSee brings together research and developm... Read More about iSee: demonstration video. [video recording].

Augmented reality procedural guide system. [Video recording] (2020)
Digital Artefact
ELYAN, E. 2020. Augmented reality procedural guide system. [Video recording]. Aberdeen: Robert Gordon University [online]. Available from: https://youtu.be/SM15leaKbJY

This video provides a brief demonstration of an augmented reality (AR) system for the provision of guidance on correct procedures during the handling of complex equipment. This system was created as part of a project that aimed to replace user guides... Read More about Augmented reality procedural guide system. [Video recording].

SelfBACK: a decision support system to improve self-management of non-specific low back pain [online].
Digital Artefact
SELFBACK. 2016. SelfBACK: a decision support system to improve self-management of non-specific low back pain [online]. Available from: http://www.selfback.eu/

This is the official project website for the SelfBack project. The project will run from Jan 2016 – Dec 2020. The aim of the project is to improve self-management of non-specific low back pain through the development of a decision support system, Sel... Read More about SelfBACK: a decision support system to improve self-management of non-specific low back pain [online]..

SelfBACK: self-management on low back pain [online].
Digital Artefact
SCHOOL OF COMPUTING SCIENCE AND DIGITAL MEDIA. 2016. SelfBACK: self-management on low back pain [online]. Available from: http://www.comp.rgu.ac.uk/selfback/

This is RGU's website for its contribution to the SelfBACK project. SELFBACK is an EU funded Horizon 2020 project to develop a monitoring system to assist patients to self-mange low back pain. The system uses wearable sensors to continuously monitors... Read More about SelfBACK: self-management on low back pain [online]..

A case-based approach to data-to-text generation. [Software]
Digital Artefact
UPADHYAY, A., MASSIE, S., SINGH, R.K., GUPTA, G. and OJHA, M. 2021. A case-based approach to data-to-text generation. [Software]. Hosted on GitHub [online]. Available from: https://github.com/ashishu007/data2text-cbr

Traditional Data-to-Text Generation (D2T) systems utilise carefully crafted domain specific rules and templates to generate high quality accurate texts. More recent approaches use neural systems to learn domain rules from the training data to produce... Read More about A case-based approach to data-to-text generation. [Software].