Personalized avatar responsive to user physical state and context
Systems and methods are disclosed that facilitate providing guidance to a user during performance of a program or routine using a personalized avatar. In an aspect, a system includes a reception component configured to receive biochemical information about a physiological state or condition of a user, including information identifying a presence or a status of one or more biomarkers. The system further includes an analysis component configured to determine or infer one or more characteristics of the physiological state or condition of the user based on the information identifying the presence or the status of the one or more biomarkers, and a visualization component configured to adapt an appearance of an avatar presented to the user based on the one or more characteristics to reflect the one or more characteristics.
1 . A system, comprising:
a processor; and
a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising:
monitoring user adherence to a defined program followed by a user based on feedback information associated with performance of the defined program by the user received over the course of the defined program, wherein the feedback information comprises physiological information regarding a physiological state of the user and context information regarding a context of the user; and
determining whether the user is deviating or is likely to deviate from a requirement of the defined program based on the feedback information in combination with a known schedule of the user and historical behavior information regarding one or more historical behaviors of the user or similar users associated with the physiological state and the context, wherein the determination comprises generating a deviation prediction using one or more classifiers trained on deviation likelihood data from multiple users grouped by health profile, age, and gender; and
wherein based on a determination that the user is deviating or is likely to deviate from the requirement of the defined program, the operations further comprise:
determining a reaction for performance by an avatar presented to the user via a device, wherein the reaction comprises at least one of a visual cue or verbal cue intended to stop or prevent the user from deviating from the requirement.
2 . The system of claim 1 , wherein the determining whether the user is deviating or is likely to deviate from the requirement comprises employing artificial intelligence using classifiers.
3 . The system of claim 1 , wherein the one or more historical behaviors comprise a first behavior known to deviate from the requirement and wherein the determining the reaction comprises determining the reaction based on a second behavior previously performed by the user, or one or more of the similar users, that has been determined to stop or prevent the user from performing the first behavior.
4 . The system of claim 1 , wherein the one or more similar users further comprises one or more users having a similar health profile, age, and gender as a current user.
5 . The system of claim 4 , wherein the context information further identifies one or more entities associated with the current location, or one or more events associated with the current location.
6 . The system of claim 1 , wherein the context information identifies a current time and date.
7 . The system of claim 1 , wherein the feedback information further comprises motion information regarding physical motion or movement of the user, and wherein the operations further comprise:
determining a current behavior being performed by the user based on the feedback information, and wherein the determining whether the user is deviating or is likely to deviate from the requirement is further based on the current behavior.
8 . The system of claim 1 , wherein the determining whether the user is deviating or is likely to deviate is further based on a known schedule of the user.
9 . A method comprising:
monitoring, by a system comprising a processor, user adherence to a defined program followed by a user based on feedback information associated with performance of the defined program by the user received over the course of the defined program, wherein the feedback information comprises physiological information regarding a physiological state of the user and context information regarding a context of the user; and
determining, by the system, whether the user is deviating or is likely to deviate from a requirement of the defined program based on the feedback information in combination with a known schedule of the user and historical behavior information regarding one or more historical behaviors of the user or similar users associated with the physiological state and the context wherein the determining comprises classifying a current user state into a deviation likelihood class based on comparison to clustered behavior trajectories from similar users; and
wherein based on a determination that the user is deviating or is likely to deviate from the requirement of the defined program, the operations further comprise:
determining a reaction for performance by an avatar presented to the user via a device, wherein the reaction comprises at least one of a visual cue or verbal cue intended to stop or prevent the user from deviating from the requirement.
10 . The method of claim 9 , wherein the determining whether the user is deviating or is likely to deviate from the requirement comprises employing artificial intelligence using classifiers.
11 . The method of claim 9 , wherein the one or more historical behaviors comprise a first behavior known to deviate from the requirement and wherein the determining the reaction comprises determining the reaction based on a second behavior previously performed by the user, or one or more of the similar users, that has been determined to stop or prevent the user from performing the first behavior.
12 . The method of claim 9 , wherein the one or more similar users further comprises one or more users having a similar health profile, age, and gender as a current user.
13 . The method of claim 12 , wherein the context information further identifies one or more entities associated with the current location, or one or more events associated with the current location.
14 . The method of claim 9 , wherein the context information identifies a current time and date.
15 . The method of claim 9 , wherein the feedback information further comprises motion information regarding physical motion or movement of the user, and wherein the method further comprises:
determining, by the system, a current behavior being performed by the user based on the feedback information, and wherein the determining whether the user is deviating or is likely to deviate from the requirement is further based on the current behavior.
16 . The method of claim 9 , wherein the determining whether the user is deviating or is likely to deviate is further based on a known schedule of the user.
17 . A machine-readable storage medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:
monitoring user adherence to a defined program followed by a user based on feedback information associated with performance of the defined program by the user received over the course of the defined program, wherein the feedback information comprises physiological information regarding a physiological state of the user and context information regarding a context of the user; and
determining whether the user is deviating or is likely to deviate from a requirement of the defined program based on the feedback information and a known schedule of the user, and historical behavior information regarding one or more historical behaviors of the user or similar users associated with the physiological state and the context, wherein the determining comprises applying a machine learning model trained to detect deviation risk based on physiological-contextual similarity to prior user cohorts; and
wherein based on a determination that the user is deviating or is likely to deviate from the requirement of the defined program, the operations further comprise:
determining a reaction for performance by an avatar presented to the user via a device, wherein the reaction comprises at least one of a visual cue or verbal cue intended to stop or prevent the user from deviating from the requirement.
18 . The machine-readable storage medium of claim 17 , wherein the similar users further comprise one or more users having a similar health profile, age, and gender as a current user.