Implicit status tracking of tasks and management of task reminders based on device signals

A system for managing a task list comprising user tasks associated with a user, the system comprising:

• at least one processing device;
• a data store;
• and
• at least one computer readable data storage device storing instructions that, when executed by the at least one processing device, cause the system to:
• register identification information for one or more computing devices associated with the user;
• receive a payload of task item data associated with a user task in the task list, the task item data comprising user-set reminder parameters, wherein the user task is an implicit task;
• collect a plurality of user signals by way of one or more sensors integrated with or communicatively attached to at least a user device associated with the user;
• analyze the plurality of user signals to identify user activities associated with the plurality of user signals;
• generate, using a mapping engine, a user context graph to connect the user-set reminder parameters to the user activities, wherein the mapping engine and user context graph support identifying implicit tasks and completion of implicit tasks based on machine learning inferences associated with the user context graph, wherein the machine learning inferences include each of the following:
• an inferred status of an explicit task and
• an inferred status of the implicit task;
• identify a change event associated with the user-set reminder parameters on the user context graph;
• receive, from the user device, a signal communicating an occurrence of an event detected at the user device, the event comprising a computer device state event, a computer device geo-location event, a computer application event, or a computer file event;
• determine that the event corresponds to an occurrence of the change event, based at least in part on the user context graph;
• responsive to the occurrence of the change event associated with the user-set reminder parameters, cause a notification to be presented via a visual output component at one of the user's registered computing devices to automatically update the task list to indicate a state of the user task;
• and
• automatically update the data store to reflect a change in the state of the user task, based at least in part on tracking one or more user activities.

A computer-implemented method for managing a task list comprising user tasks associated with a user, the method comprising:

• receiving a payload of task item data associated with a user task in the task list, the task item data comprising reminder parameters associated with an agent, the agent comprising a computing device associated with the user, an application on the computing device associated with the user, a user file stored on the computing device associated with the user, or a user file stored in an online data store, wherein the user task is an implicit task;
• identifying and extracting one or more task-related entities in the payload;
• collect a plurality of signals associated with activities on the agent;
• analyze the plurality of signals to identify the activities;
• generating, using a mapping engine, a context graph with a structured schematic representing relationships of the reminder parameters and the signals on the agent, wherein the mapping engine and user context graph support identifying implicit tasks and completion of implicit tasks based on machine learning inferences associated with the user context graph, wherein the machine learning inferences include each of the following:
• an inferred status of an explicit task and
• an inferred status of the implicit task;
• receiving a signal communicating an occurrence of an event detected at the agent, the event comprising a computer device state event, a computer device geo-location event, a computer application event, or a computer file event;
• detecting a change event associated with the reminder parameters on the context graph, wherein the change event is identified based at least in part on the signal and the structured schematic;
• responsive to the detection of the change event associated with the reminder parameters, causing a notification to be presented via a visual output component at the computing device associated with the user to automatically update the task list to indicate a state of the user task;
• and
• automatically updating the task item data to reflect a change in the state of the user task, based at least in part on tracking one or more activities.