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Predictive user modeling in user interface design

  • US 9,165,280 B2
  • Filed: 02/22/2005
  • Issued: 10/20/2015
  • Est. Priority Date: 02/22/2005
  • Status: Active Grant
First Claim
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1. A method of facilitating machine interaction with a user, comprising the steps of:

  • identifying a current user emotional state of a user;

    recognizing in real time a current situation involving said user by;

    measuring current physical properties of said user;

    measuring current environmental conditions affecting said user; and

    recognizing the current situation involving said user based on said measured current physical properties and said measured current environmental conditions;

    identifying a plurality of possible user interface components to provide to the user;

    calculating a quantitative measure of impact on a state of the user for each of the plurality of possible user interface components;

    predicting desired user states for said user based on said current user emotional state and said current situation using a supervised learning algorithm; and

    dynamically creating a new user interface comprising one or more user interface components selected from the plurality of possible user interface components, based on said desired user states, said current user emotional state, and said current situation, wherein the one or more user interface components selected from the plurality of possible user interface components are selected such that a sum of the quantitative measures of impact for the selected user interface components does not exceed a specified threshold value, wherein the current physical properties of the user comprise an indication received from a medical device that the user is having or is about to have a heart attack.

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