Human Computer Interaction

The Human-Computer Interaction (HCI) group specialises in innovative research and teaching around user experience design, virtual/augmented reality, accessibility and assistive technology, and sensor-driven interaction.

Mixed Reality and Human Computer Interaction group large

We work collaboratively with leading national/international organisations across disciplines to develop and explore novel technical innovations addressing real-word challenges.

Our team of academics and research students are leading projects around investigating natural forms of interaction in virtual/augmented reality experiences (such as freehand grasping techniques), developing new multimodal approaches (eye gaze and speech input) for supporting disabled coders, creating novel wheelchair training techniques (using augmented reality), and investigating the use of natural language speech input to support disabled users in controlling digital systems.

We actively publish our research at leading international HCI conferences and venues including CHI, ISMAR, Interact, ICMI, and DIS. The group also leads the innovative MSc User Experience Design course focused around developing the next generation of leading HCI researchers and user experience practitioners. 

Research areas

  • Natural interaction in Augmented/Virtual Reality 
  • Eye gaze interaction for disabled users 
  • Mixed reality for remote medical demonstrations 
  • Wheelchair training via Augmented Reality 
  • Multimodal interaction approaches for disabled coders 
  • Inclusive interaction techniques for creative work 
  • Natural language speech interfaces 

Research members

PhD Students


Alan Dolhasz
Alan was a research fellow at the DMT Lab, specialising in computer vision, image processing and applied machine learning, as well as focusing on developing working partnerships with external organisations. Through his work on ERDF-funded projects, Alan delivered support to many SMEs in the West Midlands area and developed multiple working collaborations with local companies and authorities, such as the West Midlands Combined Authority. Alan’s research has been published at leading international conferences, such as IEEE Computer Vision and Pattern Recognition (CVPR) and IEEE International Symposium on Mixed and Augmented Reality (ISMAR).