Human centred computing
As technology becomes increasingly ubiquitous, our relationship with it is changing.
Our facilities
We boast an incredible array of facilities, making our innovative human centred computing research possible.
We are treating technology less as a tool, and more as a collaborator. In the move towards more sophisticated automation it is increasingly important that everything we design - from cars to personal assistants to algorithms - has human understanding, behaviour and ethics at its centre.
In the Department of Computer Science, human centred computing researchers are working in diverse fields including healthcare, robotics, virtual reality, media and beyond, to pioneer new forms of technology that will transform our lives, in exactly the ways we want them to.
Areas of expertise
Our researchers focus their work in the following specialist areas:
-
Human computer systems
Understanding how humans use and interact with computing systems is critical, and part of our core mission. We blend expertise in interface design with psychology theories, to build more intuitive computing systems.
Read more
-
Machine learning and robotics
We develop and apply novel statistical Machine Learning methodologies, from theory to application, and push forward the state of the art in Human-Robot interactions with our Cognitive Robotics Lab.
Read more
Postgraduate research projects
Human centred computing projects
- (EPSRC DTP) Applying Natural Language Processing to real-world patient data to optimise cancer care
- (MRC DTP) Data-Science Approaches to Better Understand Multimorbidity and Treatment Outcomes in Patients with Rheumatoid Arthritis
- (MRC DTP) Unlocking the research potential of unstructured patient data to improve health and treatment outcomes
- Advising on the Use and Misuse of Collaborative Coding Workflows
- Arousal and Scanpath Trend Analysis (a-STA)
- Automatic Activity Analysis, Detection and Recognition
- Automatic Emotion Detection, Analysis and Recognition
- Automatic Experimental Design with Human in the Loop
- Computational Models to Predict Overnight Hypoglycemia in Type 1 Diabetes
- Evaluating Systems for the Augmentation of Human Cognition
- Learning of user models in human-in-the-loop machine learning
- Machine Learning and Cognitive Modelling Applied to Video Games
- Machine Learning and Explainable AI (EPSRC iCASE studentship)
- Pervasive Technology for Multimodal Human Memory Augmentation
- Smart Security for Smart Services in an IoT Context
- Technology-driven Human Memory Degradation
- The Effect of Uncertainty when Implementing Machine Ethics
Ke Chen projects
- Automatic Activity Analysis, Detection and Recognition
- Automatic Emotion Detection, Analysis and Recognition
- Biologically-Plausible Continual Learning
- Contextualised Multimedia Information Retrieval via Representation Learning
- Deep Learning for Temporal Information Processing
- Ensemble Strategies for Semi-Supervised, Unsupervised and Transfer Learning
- Explainable and Interpretable Machine Learning
- Machine Learning and Cognitive Modelling Applied to Video Games
- Multi-task Learning and Applications
- Zero-Shot Learning and Applications
Sarah Clinch projects
Angelo Cangelosi projects
Louise Dennis projects
Suzanne Embury projects
Simon Harper projects
Samuel Kaski projects
Goran Nenadic projects
- (EPSRC DTP) Applying Natural Language Processing to real-world patient data to optimise cancer care
- (MRC DTP) Data-Science Approaches to Better Understand Multimorbidity and Treatment Outcomes in Patients with Rheumatoid Arthritis
- (MRC DTP) Unlocking the research potential of unstructured patient data to improve health and treatment outcomes
- Integrated text and table mining
- Text Analytics and Blog/Forum Analysis