How can a user interface learn from and adapt to user behavior?
computer science product design critical thinking pattern recognition medical devices adaptable diagnostics devices medical technician
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Consumer devices are getting more sophisticated, but they simultaneously demand less skill and technical knowledge to operate. We want to design a user interface for a medical diagnostic analyzer which learns and adapts from user behaviors and use patterns.

This analyzer will be used in critical care settings in hospitals. How could it provide guidance and interpretation of the test results in a way that improves productivity and outcomes?

Deliverables

Imagine a nurse take a sample of blood or bodily fluid from a patient and inserts the sample into the analyzer, which then runs a test, which returns results in less than two minutes. Speed is crucial in this scenario. Answer the following questions:

  1. What types of information could an analyzer interface learn about the user to make it more useful in successive uses?
  2. Suppose the analyzer can run many different types of tests. How can the analyzer interface smartly learn the most likely test a user will be running base on location, time, or other information?
  3. How can the analyzer interface identify, predict, and correct common mistakes?

NOTE: The typical user will be a nurse, wearing medical gloves, and working in close proximity to the patient. Due to noise constraints in critical care settings, voice activation is not an option. The interface will run on a color touchscreen, similar to an iPad or Kindle Fire tablet.

    Submissions will be graded on the following criteria:
  • Meets Deliverables
  • Creativity
  • Clarity
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