Systems and methods for performing behavior detection and behavioral intervention

Patent metadata

Field	Value
Publication number	US-2024424245-A1
Application number	US-202118682867-A
Country	US
Kind code	A1
Filing date	Oct 29, 2021
Priority date	Oct 29, 2021
Publication date	Dec 26, 2024
Grant date	—

Abstract

Systems and techniques are described for predicting one or more behaviors and generating one or more interventions based on the behavior(s). For instance, a system (e.g., an extended reality (XR) device) can obtain behavioral information associated with a user of the XR device and can determine, based on the behavioral information, a likelihood of the user engaging in a behavior. The system can determine, based on the determined likelihood exceeding a likelihood threshold, an intervention. The system can generate (e.g., display or otherwise output) the intervention. The system can determine, subsequent to generating the intervention, whether the user engaged in the behavior and can determine an effectiveness of the intervention based on whether the user engaged in the behavior. The system can send, to a server, an indication of the effectiveness of the intervention for use in determining interventions for one or more additional users.

First claim

1 . A method of generating one or more interventions, the method comprising:
obtaining, by an extended reality (XR) device, behavioral information associated with a user of the XR device; determining, by the XR device based on the behavioral information, a likelihood of the user engaging in a behavior; determining, by the XR device based on the determined likelihood exceeding a likelihood threshold, an intervention; generating, by the XR device, the intervention; determining, subsequent to generating the intervention, whether the user engaged in the behavior; determining an effectiveness of the intervention based on whether the user engaged in the behavior; and sending, to a server, an indication of the effectiveness of the intervention for use in determining interventions for one or more additional users.

2 . The method of claim 1 , further comprising:
sending, to the server, contextual information associated with the intervention, wherein the contextual information associated with the intervention comprises at least one of a time of day, one or more actions by the user of the XR device prior to the intervention, the behavioral information associated with the user of the XR device, a location of the user of the XR device, and a proximity of the user of the XR device to one or more individuals.

3 . The method of claim 1 , further comprising:
sending, to the server, one or more characteristics associated with the user of the XR device, wherein the one or more characteristics associated with the user of the XR device comprise at least one of gender, age, family status, target behavior, country, culture, locale, personality type, one or more health conditions, one or more dietary restrictions, and one or more physical capabilities.

4 . The method of claim 1 , wherein obtaining the behavioral information associated with the user of the XR device includes at least one of:
determining one or more behavioral triggers that are predictive of the behavior, wherein the one or more behavioral triggers include at least one of a stress level of the user, a heart rate of the user, an object within a field of view of the XR device, a location at which the user is located, a time at which the behavioral information is obtained, one or more people in proximity to the user, and an activity in which the user is engaged.; determining one or more pre-behaviors indicative of a likelihood of the user engaging in the behavior; or detecting, in one or more images obtained by the XR device, one or more behavioral artifacts associated with the behavior.

5 . (canceled)

6 . (canceled)

7 . The method of claim 1 , wherein generating the intervention comprises displaying virtual content on a display of the XR device, wherein a real-world environment is viewable through the display of the XR device as the virtual content is displayed by the display.

8 . An apparatus for generating one or more interventions, comprising:
at least one memory; and at least one processor coupled to the at least one memory, the at least one processor configured to:
obtain behavioral information associated with a user of the apparatus;
determine, based on the behavioral information, a likelihood of the user engaging in a behavior;
determine, based on the determined likelihood exceeding a likelihood threshold, an intervention associated with the behavior;
generate the intervention;
determine, subsequent to outputting the intervention, whether the user engaged in the behavior;
determine an effectiveness of the intervention based on whether the user engaged in the behavior; and
send, to a server, an indication of the effectiveness of the intervention for use in determining interventions for one or more additional users.

9 . The apparatus of claim 8 , wherein the at least one processor is configured to:
send, to the server, contextual information associated with the intervention, wherein the contextual information associated with the intervention comprises at least one of a time of day, one or more actions by the user of the apparatus prior to the intervention, the behavioral information associated with the user of the apparatus, a location of the user of the apparatus, and a proximity of the user of the apparatus to one or more individuals.

10 . The apparatus of claim 8 , wherein the at least one processor is configured to:
send, to the server, one or more characteristics associated with the user of the apparatus, wherein the one or more characteristics associated with the user of the apparatus comprise at least one of gender, age, family status, target behavior, country, culture, locale, personality type, one or more health conditions, one or more dietary restrictions, and one or more physical capabilities.

11 . The apparatus of claim 8 , wherein, to obtain the behavioral information associated with the user of the apparatus, the at least one processor is configured to determine one or more behavioral triggers that are predictive of the behavior, wherein the one or more behavioral triggers include at least one of a stress level of the user, a heart rate of the user, an object within a field of view of the apparatus, a location at which the user is located, a time at which the behavioral information is obtained, one or more people in proximity to the user, and an activity in which the user is engaged.

12 . The apparatus of claim 11 , wherein, to obtain the behavioral information associated with the user of the apparatus, the at least one processor is configured to determine one or more pre-behaviors indicative of a likelihood of the user engaging in the behavior.

13 . The apparatus of claim 8 , wherein, to obtain the behavioral information associated with the user of the apparatus, the at least one processor is configured to detect, in one or more images obtained by the apparatus, one or more behavioral artifacts associated with the behavior.

14 . The apparatus of claim 8 , wherein, to generate the intervention, the at least one processor is configured to display virtual content on a display of the apparatus, wherein a real-world environment is viewable through the display of the apparatus as the virtual content is displayed by the display.

15 . The apparatus of claim 8 , wherein the apparatus is an extended reality (XR) device.

16 . A method of generating one or more interventions, the method comprising:
obtaining, by a server, first intervention information associated with a first user and a first intervention; updating, based on the first intervention information, one or more parameters of an intervention library, wherein the one or more parameters of the intervention library are based at least in part on second intervention information associated with a second user and a second intervention; and determining a third intervention for a third user based on the updated one or more parameters of the intervention library.

17 . The method of claim 16 , wherein the first intervention information associated with the first user comprises at least one of an intervention type, an indication of an effectiveness of the first intervention, an intervention context associated with the first intervention, and one or more characteristics associated with the first user.

18 . The method of claim 16 , wherein determining the third intervention for the third user based on the updated one or more parameters of the intervention library comprises:
obtaining, by the server, third intervention information associated with the third user; determining a correlation between the third intervent

Assignees

• Qualcomm Inc

Inventors

• Guest Daniel James
• Chen Wen
• Ramp Katheryn Victoria
• Dai Yujie

Classifications

• A61B5/0022

  Monitoring a patient using a global network, e.g. telephone networks, internet · CPC title

• A61B5/4833

  Assessment of subject's compliance to treatment · CPC title

• A61B5/7271

  Specific aspects of physiological measurement analysis (specific diagnostics methods using bioelectric or biomagnetic signals A61B5/316) · CPC title

• A61B5/024

  Measuring pulse rate or heart rate · CPC title

• G06F3/012

  Head tracking input arrangements · CPC title