Research

Making ‘black-box’ machine learning easily understandable and useable by domain experts in order to make high quality decisions confidently. Background Machine Learning (ML) is currently facing prolonged challenges with the user acceptance of delivered solutions as well as seeing system misuse, disuse, or even failure. Significant barriers... [Read More]

Trust is defines trust as “the attitude that an agent will help achieve an individual’s goals in a situation characterized by uncertainty and vulnerability” (Lee and See 2004). Trust has been realised as one of the most important factors in management and organisational behaviour for all personal and... [Read More]

Cognitive load (CL) refers to the amount of mental demand imposed on a user by a particular task, and has been associated with the limited capacity of working memory and the ability to process novel information. Multimodal Cognitive Load Measurement project aims at investigating approaches for measuring an... [Read More]

Visual analytics of time series and volume data Selected Publications Z. Chen, Jianlong Zhou, X. Wang, J. Swanson, F. Chen, and D. Feng. Neural Net-Based and Satety-Oriented Visual Analytics for Time-Spatial Data. The 2017 International Joint Conference on Neural Networks (IJCNN2017), pages 1133-1140, Anchorage, AK, USA, 14-19... [Read More]

Spatial Augmented Reality (SAR) employs data projectors to superimpose computer generated virtual objects directly onto physical objects’ surfaces. The user then views and interacts with the digital information directly projected onto the surfaces within a workspace in a natural manner. SAR has been employed in a number of application... [Read More]