Sixth Sense aims to make the lives of those with visual impairment easier through the use of machine intelligence. We are particularly interested in how computer vision can be combined with dialogue to enable visually impaired users to gain cues about place and people which help them partake in social interaction. In the spirit of Inclusive Design, we see the visually impaired community to be early adopters of augmented senses that any person might like. It is a collaboration between the Human Experience & Design group and the Machine Learning and Perception group at Microsoft Research.
A project to create a physical programming language for children ages 7 – 11 inclusive of those with visual impairment. The project has been inspired by the lack of programming tools for visually impaired children and an initial prototype system built with Cubelets by undergraduate students at the University of Cambridge.
Assessing Multiple Sclerosis with Kinect
ASSESS MS is a system to support the clinical assessment of Multiple Sclerosis using depth-sensing computer vision. It aims to provide a consistent, quantified measure of motor ability that works in clinical settings. It is a collaboration with Novartis Pharmaceutical, Machine Learning and Perception research group at Microsoft Research, and the University hospitals in Basel, Bern, and Amsterdam. [Blog link]
Morrison C. Huckvale K. Corish B. et al. (in press) Assessing Multiple Sclerosis with Kinect: Designing Computer Vision Systems for Real-World Use. Human-Computer Interaction.
Morrison C. D’Souza M. Huckvale K. et al. Usability and acceptability of ASSESS MS: a system to support the assessment of motor dysfunction in Multiple Sclerosis using depth-sensing computer vision. JMIR Human Factors, (2)1. [link]
This project aimed to address the barriers that kept innovative digital health technologies from being used in practice. We studied co-design methods to understand and increase stakeholder involvement in the design process of health services and technologies. We developed a series of log-data visualisations to help understand the usage of web-based mental health interventions. This project was a collaboration between 5 departments at the University of Cambridge and Cambridgeshire Peterborough Mental Health Trust.
Morrison C. Doherty G. 2014. Analyzing Engagement in a Web-Based Intervention Platform Through Visualizing Log-Data. Journal of Medical Internet Research 16, 11, e252. [link]
Morrison C. Dearden A. 2013. Beyond tokenistic participation: using representational artefacts to enable meaningful public participation in health service design. Health Policy, 112(3), 179-186. [link]
This project aimed to understand how clinical information systems (CIS) could be effectively design to support clinical practice. The first study detailed how CIS could disable multi-disciplinary interaction during ward rounds. The second study looked at strategies to repurpose data in CIS and the barriers encountered in five hospitals. The project was a collaboration between the Computer Lab and Judge Business School at the University of Cambridge and Papworth Hospital.
Morrison C. Jones M. Jones R. Vuylsteke A. 2013. “You can’t just hit a button’: An ethnographic study of strategies to repurpose data from advanced clinical information systems for clinical process improvement. BMC Medicine, 11(1), 103. [link]
Morrison C. Fitzpatrick G. Blackwell A. 2011. Multi-disciplinary collaboration during ward rounds: embodied aspects of electronic medical record usage. International Journal of Medical Informatics, 80(8):e96-e111. [link]