Interactive Machine Learning Interfaces for Disease Risk Prediction: Effects on Risk Perception and Behaviour
This work studies how people interpret an interactive Type 2 Diabetes (T2D) risk interface and whether interacting with it influences their attitudes toward behavioural change and highlights the importance of intuitive visual design, familiar presentation, and clear explanations in patient-facing ML interfaces.
Tiffany Ngai, Max Homm, Matthew Bradbury et al.
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