The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 03, 2026

Filed:

Jun. 13, 2023
Applicant:

Toyota Research Institute, Inc., Los Altos, CA (US);

Inventors:

Yin-Ying Chen, San Jose, CA (US);

Shabnam Hakimi, San Francisco, CA (US);

Monica Phuongthao Van, Berkeley, CA (US);

Matthew Kyung-Soo Hong, Mountain View, CA (US);

Assignees:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/35 (2020.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 40/35 (2020.01); G06N 20/00 (2019.01);
Abstract

A method for quantitatively measuring a psychological complexity of a response to visual stimuli is described. The method includes generating, by a trained machine learning model, different dataset types of reference text descriptions and/or representations of the visual stimuli. The method also includes collecting input response text descriptions from an individual after perceiving the visual stimuli. The method further includes scoring a difference between the input response text descriptions and the different dataset types of reference text descriptions and/or representations of the visual stimuli, in which a score is generated based on the different dataset types of reference text descriptions. The method also includes generating a complexity score representative of a cognitive complexity of the input response text description from the individual based on the score generated based on the different dataset types of reference text descriptions.


Find Patent Forward Citations

Chen, Yin-Ying. (2026). System and method for inferring psychological complexity elicited by visual stimuli (U.S. Patent No. 12541651). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12541651

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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