Abstract: Automated message tagging in a chat forward task facilitation communication system is described. One implementation involves receiving a set of messages between a member and a representative as the set of messages are being exchanged, processing the set of messages to identify one or more task flags associated with the set of messages, where the one or more task flags correspond to a set of tasks performable by the representative on behalf of the member, and tracking a chat flow within a chat interface, wherein the set of messages are exchanged within the chat interface. The chat flow is processed using a tagging algorithm to automatically assign at least one of the one or more task flags to messages of the set of messages, and message history is generated including the set of messages and corresponding task flag assignments with associated tasks of the set of tasks.

Abstract: Message filtering and management systems in a chat forward task facilitation communication system are described. One implementation involves receiving one or more pre-filtering inputs from a member, where the inputs include task associations to identify message types to hide or display from a real-time chat interface based on the task associations. A set of messages are processed in real-time using a filtering algorithm to associate one or more tasks with messages of the set of messages, where the one or more tasks correspond to a set of tasks performable by the representative on behalf of the member. A first message is displayed based on the one or more pre-filtering inputs and a first task association with the first message, and a second message is hidden or not displayed based on the one or more pre-filtering inputs and a second task association with the second message.

Abstract: Task reminder surfacing in a communication system is described. One implementation involves receiving a set of messages associated with a member device and a representative device, processing the set of messages to generate task data including one or more task recommendations associated with the set of messages, wherein the one or more task recommendations correspond to a set of tasks performable on behalf of the member, and tracking a real-time chat flow within a chat interface. The real-time chat flow is processed in real-time as messages of the set of messages are received using a scheduling algorithm to select a position or timing for one or more reminders associated with the one or more task recommendations, the reminders are automatically inserted within the chat flow using the position or timing for the one or more reminders, and the one or more reminders are presented within the chat flow.

Abstract: Message filtering and management systems in a chat forward task facilitation communication system are described. One implementation involves receiving one or more pre-filtering inputs from a member, where the inputs include task associations to identify message types to hide or display from a real-time chat interface based on the task associations. A set of messages are processed in real-time using a filtering algorithm to associate one or more tasks with messages of the set of messages, where the one or more tasks correspond to a set of tasks performable by the representative on behalf of the member. A first message is displayed based on the one or more pre-filtering inputs and a first task association with the first message, and a second message is hidden or not displayed based on the one or more pre-filtering inputs and a second task association with the second message.

Abstract: Automated message tagging in a chat forward task facilitation communication system is described. One implementation involves receiving a set of messages between a member and a representative as the set of messages are being exchanged, processing the set of messages to identify one or more task flags associated with the set of messages, where the one or more task flags correspond to a set of tasks performable by the representative on behalf of the member, and tracking a chat flow within a chat interface, wherein the set of messages are exchanged within the chat interface. The chat flow is processed using a tagging algorithm to automatically assign at least one of the one or more task flags to messages of the set of messages, and message history is generated including the set of messages and corresponding task flag assignments with associated tasks of the set of tasks.

Abstract: A system generates task summaries for presentation at a user computing device to facilitate completion of tasks associated with the user. The task summary includes a subset of the tasks associated with the user and the system determines which tasks to include in the task summary based on each of task data and user data. The task data includes details regarding the task while the user data describes preferences and behaviors of the user and may be updated based on historic activity of the user.

Abstract: Task generation from chat flow data in a task facilitation system is described. One implementation involves receiving in real-time a set of messages between a member and a representative as the set of messages are being exchanged, processing the set of messages to identify one or more task recommendations associated with the set of messages, wherein the one or more task recommendations correspond to a set of tasks performable by the representative on behalf of the member, tracking a chat flow within a chat interface, wherein the set of messages are exchanged within the chat interface, processing the chat flow using a machine learning network to automatically assign at least one of the one or more task recommendations to messages of the set of messages, and generating a message history for the one or more task recommendations by associating the messages with associated tasks of the set of tasks.

Abstract: Systems and methods for implementing a representative support system in a task determination system are provided. The task determination system automatically receives in real-time a set of messages between a member and a representative as these messages are exchanged. The set of messages correspond to a set of proposals associated with a task. The task determination system automatically identifying a selection of a proposal from the set of proposals based on an analysis of the set of messages. Based on the selection, the task determination system generates a set of proposal tasks and processes communications associated with these proposal tasks to monitor performance of these proposal tasks for completion of the task.

Abstract: Systems and methods for proposal acceptance in a task determination system are provided. The task determination system receives in real-time a set of messages through a communications session associated with a task. The set of messages are processed in real-time to identify a response to a set of proposals for completion of the task. Based on the response, the task determination system generates one or more proposal tasks performable to complete the task. The task determination system performs one or more actions according to the one or more proposal tasks to complete the task. The task determination system updates the member profile in real-time based on these actions, the task, and the response to the set of proposals.

Abstract: Systems and methods for communicating proposals in a task determination system are provided. The task determination system can generate in real-time a set of proposals corresponding to a task. The set of proposals are generated based on a task type and a member profile associated with a member for whom the task is being performed. The task determination system generates a ranking of the set of proposals based on suitability metrics between the task and the set of proposals. Based on the ranking and these suitability metrics, one or more proposals are selected for presentation to the member. The member profile associated with the member can be updated in real-time as the member interacts with the one or more proposals.

Abstract: Systems and methods for predicting the likelihood that a member of a task facilitation service will delegate a given task for completion by the task facilitation service include providing data to a delegation likelihood model. The data may include, among other things, data collected about the member and past tasks of the member including whether the member delegated those tasks. The data may further include data for other members and tasks other than those associated with the task being analyzed. The task facilitation service may transmit an indication regarding the likelihood of delegation to an intermediary who may then decide whether to enable a delegation control for the task at a user interface of the member.

Abstract: Systems and methods for enabling controls at a user computing device for delegating tasks include providing information to an intermediary regarding the likelihood that a user associated with the user computing device will delegate a particular task. The intermediary may then selectively activate a delegation control at the user computing device that, when activated, results in delegation of the task for completion by a task facilitation service.

Abstract: Dynamically enabled task delegation controls are provided through a user interface executed on a computing device associated with a member. The task delegation controls are selectively enabled by a task facilitation service that determines whether the delegation controls should be made available to the member based on one or more models, algorithms, etc., associated with the member based on a predicted likelihood that the member will delegate the task for completion by the task facilitation service.

Abstract: Systems and methods for proposal generation in a task recommendation system are provided. A task recommendation system may receive a completed task template corresponding to a task associated with a member. The task recommendation system may automatically query a resource library in real-time to identify a proposal template corresponding to the task type. The task recommendation system may then identify a proposal recommendation for a proposal option associated with a set of proposal options included in the proposal template. The task recommendation system may generate and present a proposal that includes the proposal recommendation. Based on member interaction with the proposal, the task recommendation system may update the member profile and the resource library.

Abstract: Disclosed embodiments provide a framework to identify and recommend tasks that can be performed for the benefit of a member. Through this framework, a member is assigned with a representative that, over time, learns about the member's preferences and behavior, which can be used to recommend tasks that can be performed to reduce the member's cognitive load. Further, as the representative develops a relationship with the member over time, the representative can also curate experiences for the member and assist the member in achieving personal goals and ambitions.

Abstract: A temperature-regulating mattress system provides dynamic adjustment of temperature and other parameters throughout a user's sleep cycle to maximize the quality of the user's sleep, Features of the system may include: (a) heating and cooling temperature regulation (with dynamic custom profiles that control humidity and are dual-zone); (b) smart controls (with remotes and apps that learn from users to optimize settings and work with smart home products such as Alexa and interactive lighting systems); (c) comfort (with a mattress that provide the necessary support for its users); and (d) sensors used for temperature and humidity estimation algorithms, control mechanism, and additional inferences from those sensors (pose, enrichment of biometric sensing data, etc.).

Abstract: An interactive lighting system includes a group of one or more portable lamps designed to respond to user's spatial manipulation of a lamp to control the system. The lamps can be wirelessly linked to operate in unison, and each lamp could also include an ambient light sensor, which helps the system to optimize illumination characteristics and profile.

Abstract: A temperature-regulating mattress system provides dynamic adjustment of temperature and other parameters throughout a user's sleep cycle to maximize the quality of the user's sleep, Features of the system may include: (a) heating and cooling temperature regulation (with dynamic custom profiles that control humidity and are dual-zone); (b) smart controls (with remotes and apps that learn from users to optimize settings and work with smart home products such as Alexa and interactive lighting systems); (c) comfort (with a mattress that provide the necessary support for its users); and (d) sensors used for temperature and humidity estimation algorithms, control mechanism, and additional inferences from those sensors (pose, enrichment of biometric sensing data, etc.).

Abstract: An interactive lighting system includes a group of one or more portable lamps designed to respond to user's spatial manipulation of a lamp to control the system. The lamps can be wirelessly linked to operate in unison, and each lamp could also include an ambient light sensor, which helps the system to optimize illumination characteristics and profile.