Outputs (4)

The disrupted workplace: are the digital and group skills needs of employers being addressed by universities? (2019)
Presentation / Conference Contribution
BREMNER, P.A.M. and LAING, A. 2019. The disrupted workplace: are the digital and group skills needs of employers being addressed by universities? Journal of learning development in higher education [online], 16: special issue of articles from the 2019 Association for Learning Development in Higher Education conference (ALDINHE 2019), 15-17 April 2019, Exeter, UK, article 535. Available from: https://journal.aldinhe.ac.uk/index.php/jldhe/article/view/535

Upskilling moves quickly in today’s ‘disrupted’ workplace, and skill sets need to change to meet the needs of the digital economy (Gray, 2016), sometimes referred to as the fourth industrial revolution (4IR). Using a mixed methods approach and drawin... Read More about The disrupted workplace: are the digital and group skills needs of employers being addressed by universities?.

Developing a catalogue of explainability methods to support expert and non-expert users. (2019)
Presentation / Conference Contribution
MARTIN, K., LIRET, A., WIRATUNGA, N., OWUSU, G. and KERN, M. 2019. Developing a catalogue of explainability methods to support expert and non-expert users. In Bramer, M. and Petridis, M. (eds.) Artificial intelligence XXXVI: proceedings of the 39th British Computer Society's Specialist Group on Artificial Intelligence (SGAI) international Artificial intelligence conference 2019 (AI 2019), 17-19 December 2019, Cambridge, UK. Lecture notes in computer science, 11927. Cham: Springer [online], pages 309-324. Available from: https://doi.org/10.1007/978-3-030-34885-4_24

Organisations face growing legal requirements and ethical responsibilities to ensure that decisions made by their intelligent systems are explainable. However, provisioning of an explanation is often application dependent, causing an extended design... Read More about Developing a catalogue of explainability methods to support expert and non-expert users..

Towards a conversational agent for threat detection in the internet of things. (2019)
Presentation / Conference Contribution
MCDERMOTT, C.D., JEANNELLE, B. and ISAACS, J.P. 2019. Towards a conversational agent for threat detection in the internet of things. In Proceedings of the 2019 International Cyber science on cyber situational awareness, data analytics and assessment (Cyber SA): pioneering research and innovation in cyber situational awareness, 3-4 June 2019, Oxford, UK. Piscataway: IEEE [online], chapter 6. Available from: https://doi.org/10.1109/CyberSA.2019.8899580

A conversational agent to detect anomalous traffic in consumer IoT networks is presented. The agent accepts two inputs in the form of user speech received by Amazon Alexa enabled devices, and classified IDS logs stored in a DynamoDB Table. Aural anal... Read More about Towards a conversational agent for threat detection in the internet of things..

Fall prediction using behavioural modelling from sensor data in smart homes. (2019)
Journal Article
FORBES, G., MASSIE, S. and CRAW, S. 2020. Fall prediction using behavioural modelling from sensor data in smart homes. Artificial intelligence review [online], 53(2), pages 1071-1091. Available from: https://doi.org/10.1007/s10462-019-09687-7

The number of methods for identifying potential fall risk is growing as the rate of elderly fallers continues to rise in the UK. Assessments for identifying risk of falling are usually performed in hospitals and other laboratory environments, however... Read More about Fall prediction using behavioural modelling from sensor data in smart homes..