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:
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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.
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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.
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Postgraduate research projects
Human centred computing projects
- 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
- Biases in Physical Activity Tracking
- Computational Models to Predict Overnight Hypoglycemia in Type 1 Diabetes
- Computer Graphics - Material Appearance Modeling and Physically Based Rendering
- 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
- User Modeling for Physical Activity Tracking
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