Abstract: A computer-implemented technique is described herein for receiving activity signals from plural logic components running on one or more computing devices. Each activity signal includes an activity information item (AII) that describes an activity performed by a subject (e.g., a user), or to be performed by the subject, as recorded by a logic component. The technique stores AIIs extracted from the activity signals in a graph data structure. The technique then: determines, by interrogating the graph data structure, one or more activity clusters within a span of time, each activity cluster pertaining to a group of AIIs associated with a same encompassing project; generates one or more summary documents based on the identified activity cluster(s); and sends the summary documents to an output device.

Abstract: A computer-implemented technique is described herein for detecting work-related visits. The technique includes receiving movement data from one or more movement-sensing mechanisms associated with a local computing device carried by a user. The technique further includes: determining, using a state machine, and based on the movement data, that a user has commenced a candidate visit, the candidate visit being described by visit data; determining, using the state machine, and based on the movement data, that the user has completed the candidate visit; and determining, using a context-determining component, and based on the visit data, whether the candidate visit corresponds to a work-related visit for which work has been completed. The technique further includes mechanisms that allow the user to add a content item to the visit data of an ongoing visit, prevent private data from leaving the local computing device, and efficiently consume power of the local computing device.

Abstract: A computer-implemented technique is described herein for receiving activity signals from plural logic components running on one or more computing devices. Each activity signal includes an activity information item (AII) that describes an activity performed by a subject (e.g., a user), or to be performed by the subject, as recorded by a logic component. The technique stores AIIs extracted from the activity signals in a graph data structure. The technique then: determines, by interrogating the graph data structure, one or more activity clusters within a span of time, each activity cluster pertaining to a group of AIIs associated with a same encompassing project; generates one or more summary documents based on the identified activity cluster(s); and sends the summary documents to an output device.

Abstract: A computer-implemented technique is described herein for detecting work-related visits. The technique includes receiving movement data from one or more movement-sensing mechanisms associated with a local computing device carried by a user. The technique further includes: determining, using a state machine, and based on the movement data, that a user has commenced a candidate visit, the candidate visit being described by visit data; determining, using the state machine, and based on the movement data, that the user has completed the candidate visit; and determining, using a context-determining component, and based on the visit data, whether the candidate visit corresponds to a work-related visit for which work has been completed. The technique further includes mechanisms that allow the user to add a content item to the visit data of an ongoing visit, prevent private data from leaving the local computing device, and efficiently consume power of the local computing device.