Systems and Methods for Personalized Digital Goal Setting and Intervention

Abstract

Systems and methods for personalized digital goal setting and intervention are provided. Embodiments of the system allow for effective management and implementation of interventions to change behaviors or health statuses of individuals or groups. Systems and methods may include setting a measurement goal relating to a behavior or a health status and generating a marker based on the measurement goal, receiving sensor data, determining that at least one of the measurement goal or the marker is satisfied, and executing a triggering action. The triggering action may include at least one of controlling access to a user device, controlling access to an application stored on a user device, controlling access of a user device to a network, controlling access of a user device to a website, displaying a notification on the user device, or transmitting a command to a remote device, including an instruction to control access to a physical space.

What is claimed is: 
     
         1 . A system comprising:
 one or more computers; and   one or more computer-readable media storing instructions that, when executed by the one or more computers, cause the one or more computers to perform operations comprising
 setting a goal relating to at least one of a behavior or a health status; 
 generating a marker based on the goal, the marker comprising an estimate of a likelihood that the goal will be satisfied at a future time; 
 receiving sensor data; 
 determining, based on the sensor data, at least one of whether the goal is satisfied or whether the estimate satisfies a threshold; and 
 based on the determination, executing an action comprising at least one of:
 controlling access to a user device; 
 controlling access to an application stored on the user device; 
 controlling access of the user device to a network; 
 controlling access of the user device to a website; 
 displaying a notification on the user device; or 
 transmitting a command to a remote device. 
 
   
     
     
         2 . The system of  claim 1 , the operations further comprising:
 receiving additional sensor data; and   adjusting the marker based on the additional sensor data.   
     
     
         3 . The system of  claim 2 , wherein adjusting the marker is based on a machine learning model. 
     
     
         4 . The system of  claim 1 , wherein generating the marker is based on a machine learning model. 
     
     
         5 . The system of  claim 1 , wherein the goal comprises at least one of an Internet use goal, a diet goal, a consumption goal, a sleep goal, an exercise goal, a medical treatment goal, or an activity goal. 
     
     
         6 . The system of  claim 1 , wherein:
 setting the measurement goal comprises identifying a remote device, and   receiving sensor data comprises receiving sensor data from the remote device.   
     
     
         7 . The system of  claim 1 , wherein:
 setting the measurement goal comprises identifying a sensor management system, and   receiving sensor data comprises receiving sensor data from the sensor management system.   
     
     
         8 . The system of  claim 1 , wherein determining that at least one of whether the goal is satisfied or whether the estimate satisfies a threshold is performed using a fuzzy logic model. 
     
     
         9 . A computer-implemented method comprising:
 setting a goal relating to at least one of a behavior or a health status;   generating a marker based on the goal, the marker comprising an estimate of a likelihood that the goal will be satisfied at a future time;   receiving sensor data;   determining, based on the sensor data, at least one of whether the goal is satisfied or whether the estimate satisfies a threshold; and   based on the determination, executing an action comprising at least one of:
 controlling access to a user device; 
 controlling access to an application stored on the user device; 
 controlling access of the user device to a network; 
 controlling access of the user device to a website; 
 displaying a notification on the user device; or 
 transmitting a command to a remote device. 
   
     
     
         10 . The computer-implemented method of  claim 9 , further comprising:
 receiving additional sensor data; and   adjusting the marker based on the additional sensor data.   
     
     
         11 . The computer-implemented method of  claim 10 , wherein adjusting the marker is based on a machine learning model. 
     
     
         12 . The computer-implemented method of  claim 9 , wherein generating the marker is based on a machine learning model. 
     
     
         13 . The computer-implemented method of  claim 9 , wherein the goal comprises at least one of an Internet use goal, a diet goal, a consumption goal, a sleep goal, an exercise goal, a medical treatment goal, or an activity goal. 
     
     
         14 . The computer-implemented method of  claim 9 , wherein:
 setting the measurement goal comprises identifying a remote device, and   receiving sensor data comprises receiving sensor data from the remote device.   
     
     
         15 . The computer-implemented method of  claim 9 , wherein:
 setting the measurement goal comprises identifying a sensor management system, and   receiving sensor data comprises receiving sensor data from the sensor management system.   
     
     
         16 . The computer-implemented method of  claim 9 , wherein determining that at least one of whether the goal is satisfied or whether the estimate satisfies a threshold is performed using a fuzzy logic model. 
     
     
         17 . One or more non-transitory computer-readable media storing instructions that, when executed by the one or more computers, cause the one or more computers to perform operations comprising
 setting a goal relating to at least one of a behavior or a health status;   generating a marker based on the goal, the marker comprising an estimate of a likelihood that the goal will be satisfied at a future time;   receiving sensor data;   determining, based on the sensor data, at least one of whether the goal is satisfied or whether the estimate satisfies a threshold; and   based on the determination, executing an action comprising at least one of:
 controlling access to a user device; 
 controlling access to an application stored on the user device; 
 controlling access of the user device to a network; 
 controlling access of the user device to a website; 
 displaying a notification on the user device; or 
 transmitting a command to a remote device. 
   
     
     
         18 . The one or more non-transitory computer-readable media of  claim 17 , the operations further comprising:
 receiving additional sensor data; and   adjusting the marker based on the additional sensor data.   
     
     
         19 . The one or more non-transitory computer-readable media of  claim 18 , wherein adjusting the marker is based on a machine learning model. 
     
     
         20 . The one or more non-transitory computer-readable media of  claim 17 , wherein generating the marker is based on a machine learning model.