Abstract: Systems and methods for automatically generating at least one of facial expressions, body gestures, vocal expressions, or verbal expressions for a virtual agent based on emotion, mood and/or personality of a user and/or the virtual agent are provided. Systems and method for determining a user's emotion, mood and/or personality are also provided.

Abstract: Systems and methods for automatically generating at least one of facial expressions, body gestures, vocal expressions, or verbal expressions for a virtual agent based on emotion, mood and/or personality of a user and/or the virtual agent are provided. Systems and method for determining a user's emotion, mood and/or personality are also provided.

Abstract: There is provided a method for automatically determining an output utterance for a virtual agent based on output of two or more conversational interfaces. A candidate output utterance from each of the two or more conversational interfaces can be received, and one candidate output utterance from all received candidate outputs can be selected based on a predetermined priority factor. The selected utterance can be output by the virtual agent.

Abstract: A method for creating a process network for use by virtual agent is provided. A plurality of dialogues between one or more users and one or more agents can be monitored. The dialogues can converted into one or more processes. The processes can be grouped and merged. The processes can be executed by a virtual agent.

Abstract: Systems and methods for automatically generating at least one of facial expressions, body gestures, vocal expressions, or verbal expressions for a virtual agent based on emotion, mood and/or personality of a user and/or the virtual agent are provided. Systems and method for determining a user's emotion, mood and/or personality are also provided.

Abstract: One embodiment relates to a computerized process for assisting a user in obtaining help from a help desk comprising a plurality of steps. One step can involve connecting the user with a computer network. Another step involves presenting the user with a plurality of questions. Another step involves analyzing a plurality of answers provided by the user by comparing said plurality of answers with a plurality of answers stored in a database. Another step involves determining using a microprocessor whether to connect a user with a live agent and connecting the user with a live agent by switching to a telephone network after determining via a predetermined score that the user needs further assistance. Ultimately, through a series of steps the system becomes more agile and intelligent thereby becoming a dynamic system which can change the process for assisting a user based upon the satisfaction of the user.

Abstract: A computer implemented method and system is provided for managing false answer supervision (FAS) in a telephony network. A call record recording multiple call events occurring at a terminal gateway is accessed. FAS events originating at the terminal gateway are detected. Suspect illegitimate call events are analyzed based on a combination of conditions. The suspect illegitimate call events are filtered for detecting events suspected of FAS. The FAS events are confirmed after discounting the suspected FAS events based on whether a proportion of the suspected FAS events is within a FAS threshold. A statistical inference of current behavior and past behavior of the terminal gateway is inferred. Threshold values are established for acceptable number of FAS events. A non-compliant behavior of the terminal gateway is inferred when the FAS events exceed the established threshold values. A service provider associated with the terminal gateway is notified for remedying the non-compliant behavior.

Abstract: A computer implemented method and system is provided for managing false answer supervision (FAS) in a telephony network. A call record recording multiple call events occurring at a terminal gateway is accessed. FAS events originating at the terminal gateway are detected. Suspect illegitimate call events are analyzed based on a combination of conditions. The suspect illegitimate call events are filtered for detecting events suspected of FAS. The FAS events are confirmed after discounting the suspected FAS events based on whether a proportion of the suspected FAS events is within a FAS threshold. A statistical inference of current behavior and past behavior of the terminal gateway is inferred. Threshold values are established for acceptable number of FAS events. A non-compliant behavior of the terminal gateway is inferred when the FAS events exceed the established threshold values. A service provider associated with the terminal gateway is notified for remedying the non-compliant behavior.