Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for surfacing drive safety notifications are provided. A personal driving pattern library comprising first data associated with a first user for a plurality of road sections included in a first route may be maintained. A global driving pattern library comprising second data associated with a plurality of users for the plurality of road sections included in the first route may be maintained. A determination may be made that the first user is going to travel the first route. A first drive safety score for the first user driving the first route may be calculated. A determination may be made that the first drive safety score is below a threshold value. A drive safety notification may be caused to be surfaced.

Abstract: A computer-implemented technique controls consumption of applications by a supervisee (e.g., a child). The technique detects when a supervisee attempts to interact with an application. In response, the technique receives context input signals that describe a current context affecting the supervisee. The technique then generates an output result based on the current context information and a set of rules expressed by rule logic. The technique then controls interaction by the supervisee with the application based on the output result. In one implementation, the technique automatically generates the rule logic, which may correspond to a set of discrete rules and/or a machine-trained model that implicitly expresses the rules. At least some of the rules specify amounts of time allocated to the supervisee for interaction with the plural applications in plural contexts. According to another illustrative aspect, the technique uses a machine-trained model to automatically classify a new application.

Abstract: A computer-implemented technique controls consumption of applications by a supervisee (e.g., a child). The technique detects when a supervisee attempts to interact with an application. In response, the technique receives context input signals that describe a current context affecting the supervisee. The technique then generates an output result based on the current context information and a set of rules expressed by rule logic. The technique then controls interaction by the supervisee with the application based on the output result. In one implementation, the technique automatically generates the rule logic, which may correspond to a set of discrete rules and/or a machine-trained model that implicitly expresses the rules. At least some of the rules specify amounts of time allocated to the supervisee for interaction with the plural applications in plural contexts. According to another illustrative aspect, the technique uses a machine-trained model to automatically classify a new application.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for surfacing alerts are provided. A monitoring service may monitor a plurality of devices associated with a group. The group may include a plurality of accounts. Each account may be associated with a different location control list. The location control list may include locational information comprising geocoordinates of locations that a corresponding user is approved to visit and temporal information corresponding to times, days of the week, and/or dates when a corresponding user is approved to visit a location. If a determination is made that a device associated with an account is at a location that is not included in a location control list for the account, an anomaly alert may be surfaced on one or more devices associated with other group members. The alert may be surfaced in association with a safety score for the location.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for surfacing alerts are provided. A monitoring service may monitor a plurality of devices associated with a group. The group may include a plurality of accounts. Each account may be associated with a different location control list. The location control list may include locational information comprising geocoordinates of locations that a corresponding user is approved to visit and temporal information corresponding to times, days of the week, and/or dates when a corresponding user is approved to visit a location. If a determination is made that a device associated with an account is at a location that is not included in a location control list for the account, an anomaly alert may be surfaced on one or more devices associated with other group members. The alert may be surfaced in association with a safety score for the location.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for surfacing drive safety notifications are provided. A personal driving pattern library comprising first data associated with a first user for a plurality of road sections included in a first route may be maintained. A global driving pattern library comprising second data associated with a plurality of users for the plurality of road sections included in the first route may be maintained. A determination may be made that the first user is going to travel the first route. A first drive safety score for the first user driving the first route may be calculated. A determination may be made that the first drive safety score is below a threshold value. A drive safety notification may be caused to be surfaced.

Abstract: A computer-implemented technique controls consumption of applications by a supervisee (e.g., a child). The technique detects when a supervisee attempts to interact with an application. In response, the technique receives context input signals that describe a current context affecting the supervisee. The technique then generates an output result based on the current context information and a set of rules expressed by rule logic. The technique then controls interaction by the supervisee with the application based on the output result. In one implementation, the technique automatically generates the rule logic, which may correspond to a set of discrete rules and/or a machine-trained model that implicitly expresses the rules. At least some of the rules specify amounts of time allocated to the supervisee for interaction with the plural applications in plural contexts. According to another illustrative aspect, the technique uses a machine-trained model to automatically classify a new application.