Abstract: There is provided an apparatus and a method of operating the apparatus for providing feedback to a participant directing a communication to one or more other participants. The apparatus (100) comprises a processor (102) configured to acquire, from one or more physiological characteristic sensors (104), one or more physiological characteristic signals from at least one participant to which the communication is directed as the communication is received by the at least one participant. The processor (102) is also configured to determine a measure of the quality of the communication based on a comparison of the one or more physiological characteristic signals acquired from the at least one participant with one or more expected physiological characteristic signals and control a user interface (108) to provide feedback of the determined quality measure of the communication to the participant directing the communication to the at least one participant.

Abstract: A machine learning based recommendation model, including a supervised learning classifier configured to receive input training data that includes a plurality of behavioral determinants, a supervised learning model configured to receive subject input data that includes a plurality of behavior determinants, wherein the supervised learning model outputs a predicted behavior of a subject, and a channel selection module configured to receive the subject input data and the predicted behavior and to determine a recommended communication channel for the subject to follow to achieve the predicted behavior.

Abstract: In one embodiment, a computer-implemented method comprising receiving data corresponding to an interaction with a user; based on the received data, predicting a moment in time when a state of the user is likely to change; and causing a change in one or a combination of message function characteristics or data collection function characteristics at the moment in time.

Abstract: The present disclosure relates to a conversation facilitation system and method configured for capturing and presenting life moment information for a subject with cognitive impairment. The system and method comprises obtaining life moment information from one or more life moment capturing devices. The life moment information comprises information on daily activities experienced by the subject, including locations of daily activities and/or co-participants in the daily activities. The system and method comprises storing the life moment information for later review by the subject and/or a caregiver of the subject. The system and method comprises obtaining external data relating to the life moment information from one or more external data sources. The system and method comprises utilizing the life moment information and the external data to generate a life moment timeline.

Abstract: There is provided an apparatus and a method of operating the apparatus for providing feedback to a participant directing a communication to one or more other participants. The apparatus (100) comprises a processor (102) configured to acquire, from one or more physiological characteristic sensors (104), one or more physiological characteristic signals from at least one participant to which the communication is directed as the communication is received by the at least one participant. The processor (102) is also configured to determine a measure of the quality of the communication based on a comparison of the one or more physiological characteristic signals acquired from the at least one participant with one or more expected physiological characteristic signals and control a user interface (108) to provide feedback of the determined quality measure of the communication to the participant directing the communication to the at least one participant.

Abstract: There is provided a system for generating conversation content for communication with a user. The system includes a context determination module for determining a context of a conversation to be held with the user; a goal determination module for determining at least one goal to be set for the user; a content selection module for selecting a set of conversation content elements for communication to the user in the conversation, based on the determined context and the at least one determined goal; and a sequencing module for determining a first order in which the conversation content elements are to be presented to the user, based at least on the determined goal. A method, apparatus and computing device are also disclosed.

Abstract: A method of optimizing user outreach for a subject, including: determining the N closest other users to the subject; learning an outreach policy for the subject using reinforcement learning based upon outreach data of the N closest other users and the subject; determining an outreach action for the subject based upon the learned outreach policy; performing the outreach action; collecting new outreach data; and determining a new value of N.

Abstract: A machine learning based recommendation model, including a supervised learning classifier configured to receive input training data that includes a plurality of behavioral determinants, a supervised learning model configured to receive subject input data that includes a plurality of behavior determinants, wherein the supervised learning model outputs a predicted behavior of a subject, and a channel selection module configured to receive the subject input data and the predicted behavior and to determine a recommended communication channel for the subject to follow to achieve the predicted behavior.

Abstract: The present disclosure pertains to a system configured to generate an adaptive embodied conversational agent to provide interactive virtual coaching to a subject. The system comprises a user interface, one or more hardware processors, and a display. The user interface is configured to obtain input information related to the subject. The one or more hardware processors are configured by machine-readable instructions to: determine a customized digital coaching plan for the subject; and generate visual and/or audio signals that convey the appearance and behavior of the adaptive embodied conversational agent based on the customized digital coaching plan, and/or based on a relationship parameter. The display is configured to receive the generated visual and/or audio signals and cause presentation of the adaptive embodied conversational agent on the display to provide the customized digital coaching plan to the subject interactively.

Abstract: The present system is configured to use vital signs levels, psychological information, and engagement information that is typically collected within telehealth programs, along with responses to queries presented to a subject via query interfaces, to: compute baseline well-being vital signs ranges for the subject; monitor the subject's physiological and emotional well-being relative to the baseline well-being vital signs ranges; withhold queries (presented via the query interfaces) selected by telehealth professionals for the subject in a database until the vital signs of the subject are within baseline ranges; and present the queries (via a query interface) to the subject responsive to the vital signs of the subject being within the baseline well-being ranges.

Abstract: Increasingly, conversational systems are used in coaching or supportive contexts, either in an embodied form (e.g., as an avatar in an app or website) or just in a speech-driven for (e.g. Siri). There is a need to keep such systems interesting and appealing over time in order to prevent the user from reducing use of the system or abandoning the system all together. The present system is configured to learn new expressions from user utterances and use them based on their predicted utility during interactions with the user. The present system includes components configured for learning new vocabulary and selecting vocabulary for generating new utterances from the system. This way, the system continually expands its vocabulary database with expressions familiar to and/or used by the user and will be able to engage the user with new utterances so that the user does not lose interest in the system.

Abstract: The present disclosure pertains to a system for facilitating determination of a course of action for a subject. In some embodiments, the system obtains sensor-generated output signals conveying information related to interactions between the subject and a consultant during a consultation period; detects a mood of the subject; determines a course of action for the subject during the consultation period based on the detected mood; and provides, via a user interface, one or more cues for presentation to the consultant during the consultation period, the cues indicating the determined course of action to be taken by the consultant for interacting with the subject.

Abstract: In one embodiment, a computer-implemented method comprising receiving data corresponding to an interaction with a user; based on the received data, predicting a moment in time when a state of the user is likely to change; and causing a change in one or a combination of message function characteristics or data collection function characteristics at the moment in time.

Abstract: In an embodiment, an apparatus is presented that assesses an awareness of a user about a need for influencing a change in activity levels of the user by receiving information about activity levels of a user and receiving user input about user activity, associates the user with a category among plural categories based on the awareness assessment, and provides messaging to the user based on simulated effects of targeting various personal determinants to achieve a strong influence on the user's behavior.

Abstract: Methods and systems for coaching a user. The system and methods of various calculate at least one relationship determinant value based on a user's behavior. A relationship index value that represents the status of the relationship between a user and a virtual coach is calculated from the determinant value(s). At least one parameter of a coaching plan is then adjusted based on the calculated relationship index value.

Abstract: The present disclosure pertains to a system configured to generate an adaptive embodied conversational agent to provide interactive virtual coaching to a subject. The system comprises a user interface, one or more hardware processors, and a display. The user interface is configured to obtain input information related to the subject. The one or more hardware processors are configured by machine-readable instructions to: determine a customized digital coaching plan for the subject; and generate visual and/or audio signals that convey the appearance and behavior of the adaptive embodied conversational agent based on the customized digital coaching plan, and/or based on a relationship parameter. The display is configured to receive the generated visual and/or audio signals and cause presentation of the adaptive embodied conversational agent on the display to provide the customized digital coaching plan to the subject interactively.

Abstract: The present invention relates to a scheduling system (2) for scheduling interaction with a subject (3). A receiving unit (6) receives sensor data acquired by one or more sensors (4, 5), wherein the sensor data are indicative of a situation of the subject. An analyzing unit (6) analyses the received sensor data for a past period of time to detect recurring patterns in the situation of the subject during the past period of time. A predicting unit (7) predicts the situation of the subject during a future period of time based on the received sensor data for a current period of time and the detected recurring patterns. A scheduling unit (9) generates a schedule for interacting with the subject based on the predicted situation. By utilizing the predicted situation to generate a schedule for interacting with the subject, it is possible to identify opportune moments for interacting with the subject.

Abstract: Increasingly, conversational systems are used in coaching or supportive contexts, either in an embodied form (e.g., as an avatar in an app or website) or just in a speech-driven for (e.g. Siri). There is a need to keep such systems interesting and appealing over time in order to prevent the user from reducing use of the system or abandoning the system all together. The present system is configured to learn new expressions from user utterances and use them based on their predicted utility during interactions with the user. The present system includes components configured for learning new vocabulary and selecting vocabulary for generating new utterances from the system. This way, the system continually expands its vocabulary database with expressions familiar to and/or used by the user and will be able to engage the user with new utterances so that the user does not lose interest in the system.

Abstract: A system for managing provided services is disclosed. The system receiving information regarding measureable events, determining a distribution pattern of the measureable events, determining an identity of a user based on the distribution pattern and providing instruction to controllable devices to alter surrounding conditions based at least on the identity of the user. In another aspect of the invention, the controllable devices may represent a second set of sensors that are used to collect data of a second type. The information collected from the second set of sensors may be used to determine a health status of a user.

Abstract: The invention concerns a system, method, apparatus, and computer readable medium for promoting a healthier life style of a subject. The method includes the steps of detecting a triggering event relating to a subject, reviewing a user profile associated with the subject which includes information relating to the subject, searching a text fragment database including a collection of text fragments and selecting appropriate text fragments based in part on the specific user profile of the particular subject, and sending the text fragments selected to a coach for forwarding to the subject, review, or amendment.