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:
Mar. 08, 2022

Filed:

Oct. 08, 2018
Applicant:

Unanimous A. I., Inc., San Francisco, CA (US);

Inventors:

Louis B. Rosenberg, San Luis Obispo, CA (US);

Gregg Willcox, San Luis Obispo, CA (US);

Assignee:

Unanimous A. I., Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/0484 (2013.01); G06F 3/0488 (2013.01); G06F 3/0481 (2013.01); H04L 29/08 (2006.01); E21B 47/18 (2012.01); G06Q 10/10 (2012.01); G06N 20/00 (2019.01); G06F 3/04847 (2022.01); H04L 67/14 (2022.01); G06F 3/04883 (2022.01); G06F 3/04812 (2022.01); G06F 3/04842 (2022.01); H04L 67/306 (2022.01); H04L 67/50 (2022.01);
U.S. Cl.
CPC ...
G06F 3/04847 (2013.01); E21B 47/18 (2013.01); G06F 3/04812 (2013.01); G06F 3/04842 (2013.01); G06F 3/04883 (2013.01); G06N 20/00 (2019.01); G06Q 10/101 (2013.01); H04L 67/14 (2013.01); H04L 67/22 (2013.01); H04L 67/306 (2013.01);
Abstract

Systems and methods for obtaining dynamic behavioral data from a plurality of users of a plurality of computing devices in response to a stimuli, and using the dynamic behavioral data to make an optimized forecast regarding the outcome of a future event. During a first time period the system collects behavioral data of the user interaction with the dynamic user interface and a first displayed prompt, and then performs a perturbation analysis using the data collected during the first time period. A perturbation stimulus is displayed to the user, and during a second time period the user may additionally interact with the dynamic interface during a second time period, during which the system collects behavioral data of the user interaction during the second time period. The system determines a prediction based on data collected during at least one of the time periods from each of a plurality of users.


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