Patents by Inventor Stewart T. Sill

Stewart T. Sill has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Personalized intervention based on machine learning of behavior change states
    Patent number: 11132920
    Abstract: A system provides an intervention for a user and comprises at least one processor. The system monitors behavior and context of a user to generate a behavior history. One or more models are utilized to determine an intervention for the user to induce a behavior modification, wherein the one or more models map interventions to user context and behavior and utilize the behavior history to determine an effective intervention for the user. The intervention is provided to the user and feedback is received in response to the intervention. The one or more models are updated based on the feedback. Embodiments of the present invention further include a method and computer program product for providing an intervention to a user in substantially the same manner described above.
    Type: Grant
    Filed: December 20, 2017
    Date of Patent: September 28, 2021
    Assignee: International Business Machines Corporation
    Inventors: Marie Angelopoulos, Shahram Ebadollahi, Stewart T. Sill, Michal Rosen-Zvi, Ching-Hua Chen, James V. Codella, Si Sun
  • PERSONALIZED INTERVENTION BASED ON MACHINE LEARNING OF BEHAVIOR CHANGE STATES
    Publication number: 20190189025
    Abstract: A system provides an intervention for a user and comprises at least one processor. The system monitors behavior and context of a user to generate a behavior history. One or more models are utilized to determine an intervention for the user to induce a behavior modification, wherein the one or more models map interventions to user context and behavior and utilize the behavior history to determine an effective intervention for the user. The intervention is provided to the user and feedback is received in response to the intervention. The one or more models are updated based on the feedback. Embodiments of the present invention further include a method and computer program product for providing an intervention to a user in substantially the same manner described above.
    Type: Application
    Filed: December 20, 2017
    Publication date: June 20, 2019
    Inventors: Marie Angelopoulos, Shahram Ebadollahi, Stewart T. Sill, Michal Rosen-Zvi, Ching-Hua Chen, James V. Codella, Si Sun