School of Computer Science and Statistics
This project would suit an undergraduate FYP, particularly if taking the 4th year Human Factors module. The aim of the project would be to replicate classic human performance experiments using computer games as a testbed, starting with simpler phenomena such as Fitts’ Law (representing the time taken to hit a screen target based on distance … Read more
Several qualitative research methodologies involve analysis of data such as interview transcripts and open questionnaire responses. For example, several forms of analysis involve coding of the transcripts and then identifying common patterns and themes within the codes. There are potential benefits as well as risks associated with the use of AI tools to support such … Read more
This project will be in the area of Explainable AI (XAI), and specifically building of explanations to support learning and user interfaces for presenting explanations to the end user (learner). The focus will be on the explanations rather than machine learning technology, although the student can use the project as an opportunity to explore these … Read more
Smartwatches are increasingly used to track a variety of health-related data, but the focus is mainly on automated tracking. Recent years have seen an expansion in the interaction capabilities of smartwatches (e.g. using voice or gesture). This project will investigate different modalities for entering and annotating self-tracking information via smartwatch. The project will suit better … Read more