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Active Inference and Human--Computer Interaction
We discuss how Active Inference offers a new basis for a theory of interaction in HCI, tools for design of modern, complex sensor-based systems, and integration of artificial intelligence technologies, enabling it to cope with diversity in human users and contexts.
Evaluating Bayesian Model Visualisations
Probabilistic models inform an increasingly broad range of business and policy decisions ultimately made by people.
Forward and Inverse models in HCI:Physical simulation and deep learning for inferring 3D finger pose
We infer finger 3D position $(x, y, z)$ and pose (pitch and yaw) on a mobile device using capacitive sensors which can sense the finger up to 5cm above the screen.
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