Journal paper on machine learning and dynamic UI accepted

We are pleased to announce that a recent paper on our Context-Aware Nurse Assistant (CANA) application, developed in collaboration with Amir Dirin and others at Haaga-Helia University of Applied Sciences, was accepted to the SCIE-indexed Journal of Ambient Intelligence and Humanized Computing. Here are the details of the publication:

  • Authors: Nathan Ham, Amir Dirin and Teemu H. Laine
  • Title: Machine Learning and Dynamic User Interfaces in a Context Aware Nurse Application Environment
  • Journal: Journal of Ambient Intelligence and Humanized Computing

This paper proposes a novel machine learning approach to the customization of the CANA application behavior based on the user’s (i.e. a nurse) location in a hospital. The application can predict what the nurse is going to do next, and suggest services accordingly. An important aspect of the application is that it changes its user interface dynamically depending on the user’s situation, in order to provide a contextualized service.

We are delighted of this collaboration and look forward to keep working with the good folks at Haaga-Helia in the future.

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