Abstract: Described herein are assistant robots that observe signs of core health, health dangers, and/or signs of medical distress in a home or at work. As such, the assistant robots can take actions to prevent dangerous situations, diagnose health problems, respond to requests for help, and provide regular treatments or analysis of a person's medical state. The assistant robots can learn users' habits or be provided with knowledge regarding humans in its environment. The assistant robots develop a schedule and contextual understanding of the persons' behavior and needs. The assistant robots may interact, understand, and communicate with people before, during, or after providing assistance. The robot can combine gesture, clothing, emotional aspect, time, pose recognition, action recognition, and other observational data to understand people's medical condition, current activity, and future intended activities and intents.

Abstract: Described herein are assistant robots that observe signs of core health, health dangers, and/or signs of medical distress in a home or at work. As such, the assistant robots can take actions to prevent dangerous situations, diagnose health problems, respond to requests for help, and provide regular treatments or analysis of a person's medical state. The assistant robots can learn users' habits or be provided with knowledge regarding humans in its environment. The assistant robots develop a schedule and contextual understanding of the persons' behavior and needs. The assistant robots may interact, understand, and communicate with people before, during, or after providing assistance. The robot can combine gesture, clothing, emotional aspect, time, pose recognition, action recognition, and other observational data to understand people's medical condition, current activity, and future intended activities and intents.

Abstract: Described herein are assistant robots that anticipate needs of one or more people (or animals). The assistant robots may recognize a current activity, knowledge of the person's routines, and contextual information. As such, the assistant robots can provide or offer to provide appropriate robotic assistance. The assistant robots can learn users' habits or be provided with knowledge regarding humans in its environment. The assistant robots develop a schedule and contextual understanding of the persons' behavior and needs. The assistant robots may interact, understand, and communicate with people before, during, or after providing assistance. The robot can combine gesture, clothing, emotional aspect, time, pose recognition, action recognition, and other observational data to understand people's medical condition, current activity, and future intended activities and intents.

Abstract: Described herein are assistant robots that observe signs of core health, health dangers, and/or signs of medical distress in a home or at work. As such, the assistant robots can take actions to prevent dangerous situations, diagnose health problems, respond to requests for help, and provide regular treatments or analysis of a person's medical state. The assistant robots can learn users' habits or be provided with knowledge regarding humans in its environment. The assistant robots develop a schedule and contextual understanding of the persons' behavior and needs. The assistant robots may interact, understand, and communicate with people before, during, or after providing assistance. The robot can combine gesture, clothing, emotional aspect, time, pose recognition, action recognition, and other observational data to understand people's medical condition, current activity, and future intended activities and intents.

Abstract: Described herein are assistant robots that anticipate needs of one or more people (or animals). The assistant robots may recognize a current activity, knowledge of the person's routines, and contextual information. As such, the assistant robots can provide or offer to provide appropriate robotic assistance. The assistant robots can learn users' habits or be provided with knowledge regarding humans in its environment. The assistant robots develop a schedule and contextual understanding of the persons' behavior and needs. The assistant robots may interact, understand, and communicate with people before, during, or after providing assistance. The robot can combine gesture, clothing, emotional aspect, time, pose recognition, action recognition, and other observational data to understand people's medical condition, current activity, and future intended activities and intents.

Abstract: Systems and methods for dynamically generating computer executable technical support procedures, as well as updating/augmenting such executable procedures, by tracking and processing sequences of actions (execution traces) that are taken by experts (or users) when performing a procedure or when executing an executable procedure.

Abstract: Systems and methods for dynamically generating computer executable technical support procedures, as well as updating/augmenting such executable procedures, by tracking and processing sequences of actions (execution traces) that are taken by experts (or users) when performing a procedure or when executing an executable procedure.

Abstract: Systems and methods for dynamically generating computer executable technical support procedures, as well as updating/augmenting such executable procedures, by tracking and processing sequences of actions (execution traces) that are taken by experts (or users) when performing a procedure or when executing an executable procedure.

Abstract: Techniques for altering application user-interface controls are provided. More particularly the customization of a new or existing user-interface control in an application user-interface is provided. In one aspect of the invention, a method for customizing user-interface controls of an existing application comprises the recording of a procedure description performed by a user in the application user-interface. A new or modified application user-interface control relating to the procedure description is then installed in the existing application.

Abstract: A method for incrementally generating a computer-executable model of a procedure from observations of user actions is described. The method includes maintaining a collection of computer-executable procedure models consistent with observed actions of a user, and augmenting the collection when a user action is observed, wherein the user actions are performed while executing a procedure.

Abstract: A system and method for obtaining a process definition; determining the current process; determining the current process step; determining whether a whether a user has requested creation or modification of an annotation of the current process or step; receiving information from the user for creating the annotation when a user has requested creation of an annotation; and displaying the annotation.

Abstract: A system for and method of executing mixed-initiative procedures to allow at least one of a user and a computer system to take initiative of the procedure from the other at any point of the procedure, in which the mixed-initiative procedure can include a computer-based procedure in which the user and the computer system cooperate during the execution to allow each other to take the initiative at any point of the procedure.

Abstract: A system for and method of constructing an executable reusable procedure which includes determining an executable procedure from at least one scored trace of a procedure execution.

Abstract: Dynamic modification of user interfaces is disclosed, based upon identification of the current state of the user and the sensing of a particular situation in which the user is involved and/or environment in which the user is situated. In particular, emotional and mental states of a user are identified and these states are taken into consideration when creating and/or adapting an interface to be used by the user. The interface is modified/created automatically based on identified user biometrics, that is, measured physical properties of the user.

Abstract: There is provided an apparatus for aligning document actions specified in a documented procedure with demonstrated user actions. The apparatus includes an alignment device for computing an alignment between the document actions and the demonstrated user actions based on at least one similarity metric.

Abstract: A method for inducing a Hidden Markov Model (HMM) is provided. The method using a plurality of training observations and a distance function includes assigning at least one representative observation to each of a plurality of hidden states of the HMM; computing a distance between said at least one assigned representative observation and one of said training observation using the distance function, wherein said distance is computed for each assigned representative observation; and computing at least one of an E-Step and an M-Step of a Baum-Welch algorithm by incorporating said computed distance.

Abstract: (1) An approximate center-based clustering that utilizes sampling to cluster a set of n points to identify k>0 centers with quality assurance, but without the drawbacks of sample size and running time dependence on n. (2) An approximate conceptual clustering algorithm that utilizes sampling to identify k disjoint conjunctions with novel quality assurance, also without the drawbacks of sample size and running time dependence on n.

Abstract: The present invention provides a a method and system for generating one or more computer-executable procedures. It can simultaneously learn from a collection of procedure instances recorded by different users on a variety of computers. In particular, the present invention aligns multiple traces and uses the aligned traces to generalize.

Abstract: Techniques for altering application user-interface controls are provided. More particularly the customization of a new or existing user-interface control in an application user-interface is provided. In one aspect of the invention, a method for customizing user-interface controls of an existing application comprises the recording of a procedure description performed by a user in the application user-interface. A new or modified application user-interface control relating to the procedure description is then installed in the existing application.

Abstract: Systems and methods for dynamically generating computer executable technical support procedures, as well as updating/augmenting such executable procedures, by tracking and processing sequences of actions (execution traces) that are taken by experts (or users) when performing a procedure or when executing an executable procedure.