Generation and delivery of customized content programs

Inventors

Hames, Peter A. • Espie, Colin • Kwong, Kelvin • Carl, Jenna Rae • O'Connell, Killian

Assignees

Big Health Inc

Abstract

Provided are systems, methods, and computer-readable medium for operating a content delivery system. In various examples, the content delivery system can transmit a series of queries to a computing device for display in an application executing on the computing device. The content delivery service can receive a set of responses, and determine from the responses scores for each of a set of drivers associated with a plurality of content sessions. The content delivery service can also select particular content sessions using the scores. The content delivery service can also determine an order and schedule for presenting the particular content sessions and output a customized content program according to the order and schedule.

Core Innovation

A content delivery service transmits a series of queries to a computing device on a network and causes the computing device to display the series of queries in an application. The service receives responses to the series of queries and determines scores for each of a set of drivers using a machine learning model and the responses, where each driver comprises a factor associated with one or more psychological issues and the set of drivers is associated with a plurality of content sessions, including at least one content session comprising a multimedia presentation relating to cognitive behavioral therapy.

Based on the scores, the content delivery service selects particular content sessions from the plurality of content sessions and determines an order and a schedule for presenting the particular content sessions based on the scores and drivers associated with the particular content sessions, where the order is based on a priority for the particular content sessions. The service determines a customized content program based on the particular content sessions, the order, and the schedule, and outputs the customized content program to the computing device according to the order and the schedule.

A machine learning model is trained using historical data including other responses to different series of queries and findings resulting from the other responses. The service also receives feedback data from the computing device relating to the customized content program and, responsive to receiving the feedback data, performs at least one of modifying the particular content sessions included in the customized content program or adjusting the order or the schedule of the particular content sessions using the machine learning model.

Claims Coverage

The independent claims cover a content-delivery workflow in which a series of queries is displayed in an application, responses are used by a trained machine learning model to score drivers tied to psychological issues, and scores drive selection and scheduling of CBT-related multimedia content sessions. The coverage includes prioritized ordering and scheduling, generation of a customized content program, and updating the program in response to feedback data, including modifying content sessions and/or adjusting the order or schedule.

Across the independent claims, the key inventive coverage centers on mapping responses from a displayed series of queries to driver scores associated with psychological issues using a trained machine learning model; selecting CBT-related multimedia content sessions from a plurality; determining an order and schedule based on driver-linked priority; generating and outputting a customized content program; and updating that program in response to received feedback data by modifying content sessions and/or adjusting the order or schedule.

Stated Advantages

Documented Applications