Patents by Inventor Emily S. SUMNER

Emily S. SUMNER 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).

  • Publication number: 20240249637
    Abstract: A driving simulator may include a controller programmed to simulate operation of a vehicle being driven by a driver, the vehicle including assistive driving technology, receive driver data associated with the driver, determine whether the driver is distracted based on the driver data, and upon determination that the driver is distracted, simulate a particular driving event.
    Type: Application
    Filed: January 19, 2023
    Publication date: July 25, 2024
    Applicants: Toyota Research Institute, Inc., Toyota Jidosha Kabushiki Kaisha
    Inventors: Simon Stent, Andrew P. Best, Shabnam Hakimi, Guy Rosman, Emily S. Sumner, Jonathan DeCastro
  • Publication number: 20230290500
    Abstract: A method for information overweight detection and intervention is described. The method includes training a statistical model to classify salient information that may be overweight by individuals to provide a trained statistical model. The method also includes collecting data from a user about the salient information experienced by the user or to which the user is exposed. The method further includes analyzing the salient information using the trained statistical model to identify and classify the salient information that the user may overweight to identify overweight information. The method also includes presenting one or more interventions to the user to prevent the user from overweighting the identified overweight information.
    Type: Application
    Filed: January 21, 2022
    Publication date: September 14, 2023
    Applicant: TOYOTA RESEARCH INSTITUTE, INC.
    Inventors: Yin-Ying CHEN, Totte HARINEN, David Ayman SHAMMA, Emily S. SUMNER
  • Publication number: 20230185997
    Abstract: A method for machine-assisted collaborative product design is described. The method includes training a neural network to simulate a plurality of stakeholder personas in a product review process to provide a plurality of stakeholder models. The method also includes simulating, using the plurality of stakeholder models, the plurality of stakeholder personas in the product review process of a potential product. The method further includes aggregating individual scores output from the plurality of stakeholder models corresponding to each of the plurality of stakeholder personas regarding the potential product; wherein each of the individual scores corresponds to a stakeholder persona and that stakeholder persona's reaction to the potential product. The method also includes displaying a summary providing an overview of the aggregated individual scores regarding the potential product to a user.
    Type: Application
    Filed: December 14, 2021
    Publication date: June 15, 2023
    Applicant: TOYOTA RESEARCH INSTITUTE, INC.
    Inventors: Shabnam HAKIMI, Scott CARTER, Jonathan A. DECASTRO, Emily S. SUMNER, Yue WENG, Nikos ARECHIGA