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End User Programming with Natural Interactions
Participants
Summary
This research project focuses on the development of an End-User Programming paradigm, enabling program creation through natural interaction modalities, thereby eliminating the requirement for traditional textual coding. Utilising Google WebAI, the project implements a gesture recognition system as the primary programming construct. This system permits users to create, modify, persist, and execute programs in real-time, demonstrating the feasibility of natural interaction-based programming interfaces.
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Funding
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PREDICTion of GastroIntestinal malignancy in patients with IRON Deficiency (PREDICT-GI-IRON)
Participants
Summary
Gastrointestinal tract cancers are the second most common cancer in the UK with approximately a third of these patients observed to have an iron deficiency (ID) prior to their diagnosis of cancer. Current UK guidelines therefore recommend urgent evaluation of the gastrointestinal tract in patients with a new diagnosis of iron deficiency anaemia (IDA), the sequela of ID. However, ID is a common finding on 1 in 14 routine blood tests and the risk of cancer in different patient groups with ID is unclear.
This project seeks to quantify the relative and absolute risk of gastrointestinal malignancy in patients with ID based on their symptoms, blood results and other information in their GP medical record.
We will develop and validate a risk prediction model (PREDICT-GI-IRON) for malignant GI disease in patients diagnosed with IDA and ID without anaemia via an intuitive web-based calculator. A theoretical framework grounded in HCI and UX research will inform the design and implementation of this web application, focusing on user needs and interaction paradigms, to create a user-friendly and effective experience.
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Partners
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