Abstract: A system provides artificial intelligence health support for people. The system renders specific, targeted treatments for people by using a flow engine and a conversational service to call one or more conversational modules. The treatments for the people may be tracked. The flow engine and/or one or more of the modules may include different instructions to perform for different programs and/or goals that have been configured. The flow engine and/or one or more of the conversational modules may also include instructions to perform when certain features are active (which may be activated when certain programs and/or goals are configured), when data regarding activity for people are received, and so on. Other modules may be dedicated to particular programs and/or goals. Some modules may determine whether or not to perform various instructions repetitiously, and/or may determine to do so when a priority of a previous instruction is below a threshold.

Abstract: A system provides artificial intelligence health support for people. The system renders specific, targeted treatments for people by using a flow engine and a conversational service to call one or more conversational modules. The treatments for the people may be tracked. The flow engine and/or one or more of the modules may include different instructions to perform for different programs and/or goals that have been configured. The flow engine and/or one or more of the conversational modules may also include instructions to perform when certain features are active (which may be activated when certain programs and/or goals are configured), when data regarding activity for people are received, and so on. Other modules may be dedicated to particular programs and/or goals. Some modules may determine whether or not to perform various instructions repetitiously, and/or may determine to do so when a priority of a previous instruction is below a threshold.

Abstract: A system provides artificial intelligence health support for people. The system renders specific, targeted treatments for people by using a flow engine and a conversational service to call one or more conversational modules. The treatments for the people may be tracked. The flow engine and/or one or more of the modules may include different instructions to perform for different programs and/or goals that have been configured. The flow engine and/or one or more of the conversational modules may also include instructions to perform when certain features are active (which may be activated when certain programs and/or goals are configured), when data regarding activity for people are received, and so on. Other modules may be dedicated to particular programs and/or goals. Some modules may determine whether or not to perform various instructions repetitiously, and/or may determine to do so when a priority of a previous instruction is below a threshold.

Abstract: A system for providing artificial intelligence health support for people that renders specific, targeted treatment for the people and tracks those treatments includes multiple programs, multiple goals, and multiple missions. The multiple goals and the multiple missions may be combined in various ways to configure various of the multiple programs for multiple different people. The goals may be configured by priority and focus. Specific, targeted treatment may then be rendered and tracked for the multiple different people in association with the respective programs that have been configured for those respective people.

Abstract: A system provides artificial intelligence health support for people. The system renders specific, targeted treatments for people by using a flow engine and a conversational service to call one or more conversational modules. The treatments for the people may be tracked. The flow engine and/or one or more of the modules may include different instructions to perform for different programs and/or goals that have been configured. The flow engine and/or one or more of the conversational modules may also include instructions to perform when certain features are active (which may be activated when certain programs and/or goals are configured), when data regarding activity for people are received, and so on. Other modules may be dedicated to particular programs and/or goals. Some modules may determine whether or not to perform various instructions repetitiously, and/or may determine to do so when a priority of a previous instruction is below a threshold.

Abstract: A system for providing artificial intelligence health support for people that renders specific, targeted treatment for the people and tracks those treatments includes multiple programs, multiple goals, and multiple missions. The multiple goals and the multiple missions may be combined in various ways to configure various of the multiple programs for multiple different people. The goals may be configured by priority and focus. Specific, targeted treatment may then be rendered and tracked for the multiple different people in association with the respective programs that have been configured for those respective people.

Abstract: A system provides artificial intelligence health support for people. The system renders specific, targeted treatments for people by using a flow engine and a conversational service to call one or more conversational modules. The treatments for the people may be tracked. The flow engine and/or one or more of the modules may include different instructions to perform for different programs and/or goals that have been configured. The flow engine and/or one or more of the conversational modules may also include instructions to perform when certain features are active (which may be activated when certain programs and/or goals are configured), when data regarding activity for people are received, and so on. Other modules may be dedicated to particular programs and/or goals. Some modules may determine whether or not to perform various instructions repetitiously, and/or may determine to do so when a priority of a previous instruction is below a threshold.

Abstract: A method for communicating activity-related notifications to a user includes: receiving a record of activity events of a particular activity type performed by the user over a period of time; selecting a first time-based filter from a set of time-based filters; identifying a cluster of activity events in the record of activity events filtered according to the first time-based filter; identifying an early bound and a late bound on start times of activity events of the particular activity type from the cluster; communicating a notification of a first type to the user at a first time within a threshold time of the early bound on a day fulfilling the first time-based filter; and communicating a notification of a second type to the user at a second time within a threshold time of the late bound on a day fulfilling the first time-based filter.

Abstract: A method for communicating activity-related notifications to a user includes: receiving a record of activity events of a particular activity type performed by the user over a period of time; selecting a first time-based filter from a set of time-based filters; identifying a cluster of activity events in the record of activity events filtered according to the first time-based filter; identifying an early bound and a late bound on start times of activity events of the particular activity type from the cluster; communicating a notification of a first type to the user at a first time within a threshold time of the early bound on a day fulfilling the first time-based filter; and communicating a notification of a second type to the user at a second time within a threshold time of the late bound on a day fulfilling the first time-based filter.

Abstract: A method for providing wellness-related communications to a user including: at a computing system, processing a record of activity events performed by the user over a period of time with a communication engine to generate a first communication for the user, the communication engine supported within a native wellness platform application executing on a computing device affiliated with the user; displaying the first communication within a textual conversation feed within the native wellness platform application; receiving a first response to the first communication from the user through the textual conversation feed; generating a second communication upon processing the first response at the computing system; and displaying the second communication within the textual conversation feed, wherein the first and the second communications promote wellness of the user.

Abstract: One variation of a method for providing wellness-related communications to a user includes: applying a record of activity events performed by the user over a period of time to a communication engine to generate a first communication for the user, the communication engine supported within a native wellness platform application executing on a computing device affiliated with the user; displaying the first communication within a textual conversation feed within the native wellness platform application; receiving a response to the first communication from the user through the textual conversation feed; correlating the response with a human involvement trigger; based on the human involvement trigger, prompting a human coach to communicate with the user; and displaying a second communication within the textual conversation feed, the second communication entered by the human coach.

Abstract: A method for classifying motion of a user includes: during a second time interval, receiving a set of sensor signals from a set of motion sensors arranged within a wearable device; from the set of sensor signals, generating a set of quaternions corresponding to instances within the second time interval; generating a set of motion features from the set of quaternions; transforming the set of motion features into a second action performed by the user within the second time interval; and transmitting a flag for the second action to an external computing device in response to a difference between the second action and a first action, the first action determined from data received from the set of motion sensors during a first time interval immediately preceding the second time interval.

Abstract: One variation of a method for providing wellness-related directives to a user includes: at a computing device associated with the user, receiving a selection for a first wellness application and a selection for a second wellness application; receiving a first set of motion data collected by the computing device and a wearable device wirelessly coupled to the mobile computing device; generating a first directive for the user according to the first set of motion data and a first rule defined within the first wellness application; identifying a conflict between the first directive and a second directive, the second directive generated from motion data received from the wearable device according to a second rule defined within the second wellness application; and electing the first directive for presentation to the user in place of the second directive according to a conflict resolution scheme.

Abstract: One variation of a method for prompting behavior change includes: receiving a first set of user activity data collected on a wearable device and on a mobile computing device during a first time period; identifying a habit within the first time period based on the first set of user activity data; assigning a classification to the habit; receiving a second set of user activity data collected on the wearable device during a second time period; based on the second set of user activity data, determining a deviation from the habit during the second time period; and generating a behavior change prompt to modify the habit based on the classification of the habit and the deviation from the habit that exceeds a threshold deviation.