Abstract: A method for analyzing and adjusting the performance of a speech-enabled application includes selecting a number of user utterances that were previously received by the speech-enabled application. The speech-enabled application receives such user utterances and associates each user utterance with an action-object based on one or more salient terms in the user utterance that are associated with the action-object. The method further includes associating one of a number of action-objects with each of the selected user utterances. Furthermore, for each action-object, the percentage of the utterances associated with the action-object that include at least one of the salient terms associated with the action-object is determined. If the percentage does not exceed a selected threshold, the method also includes adjusting the one or more salient terms associated with the action-object.

Abstract: A computer-implemented method is described for optimizing prompts for a speech-enabled application. The speech-enabled application is operable to receive communications from a number of users and communicate one or more prompts to each user to elicit a response from the user that indicates the purpose of the user's communication. The method includes determining a number of prompt alternatives (each including one or more prompts) to evaluate and determining an evaluation period for each prompt alternative. The method also includes automatically presenting each prompt alternative to users during the associated evaluation period and automatically recording the results of user responses to each prompt alternative. Furthermore, the method includes automatically analyzing the recorded results for each prompt alternative based on one or more performance criteria and automatically implementing one of the prompt alternatives based on the analysis of the recorded results.

Abstract: A method and system for automating customer slamming and cramming complaints includes an automated reporting system having one or more receiving devices and a complaint module. Customers who want to report a slam or cram access the automated reporting system and report the complaint without having to speak with a customer service representative. The complaint module obtains the customer telephone number and retrieves customer account information using the customer telephone number. Using the customer account information, the complaint module extrapolates a type of complaint for the customer complaint and prompts the customer for information regarding the customer complaint and the type of the complaint. The customer provides customer responses to the prompts and the complaint module provides an indication to the customer regarding each customer response.

Abstract: A system and method for automated customer feedback allows for automatically collecting and analyzing customer feedback data regarding customer satisfaction and customer task completion with respect to self-service applications and live agents. When contacting a customer service center, customers provide one or more customer tasks. The customers are routed within the customer service center based on the customer task and/or one or more customer characteristics. While interacting with the customer service center, the customers are automatically asked one or more specific survey questions relating to the customers' interaction with the customer service center and the customers' satisfaction levels. The customers provide one or more survey responses to the survey questions. The survey responses are recorded and analyzed in order to modify and update the customer service center and the survey questions in order to increase customer satisfaction and increase customer task completion.

Abstract: A system and method for automated customer feedback allows for automatically collecting and analyzing customer feedback data regarding customer satisfaction and customer task completion with respect to self-service applications and live agents. When contacting a customer service center, customers provide one or more customer tasks. The customers are routed within the customer service center based on the customer task and/or one or more customer characteristics. While interacting with the customer service center, the customers are automatically asked one or more specific survey questions relating to the customers' interaction with the customer service center and the customers' satisfaction levels. The customers provide one or more survey responses to the survey questions. The survey responses are recorded and analyzed in order to modify and update the customer service center and the survey questions in order to increase customer satisfaction and increase customer task completion.

Abstract: A list of video programs downloadable via a digital subscriber line, including a presently-unavailable video program and its associated date of download availability, is presented to a user. A user selection of the video program is received. Based on the user selection, an entry is added to a download schedule to schedule downloading the video program on or after its associated date of download availability. The video program is downloaded via the digital subscriber line based on the download schedule.

Abstract: Communications are routed to an agent. An agent model is selected for each of a group of agents, based upon an identified modality of an incoming communication from a requester. An agent is determined corresponding to one of the selected agent models best matched to a requester corresponding to the incoming communication. A communication connection is established between the requester and the best matched agent.

Abstract: Systems and methods for processing speech are provided. A system may include an acoustic model to transform speech input into one or more word strings. The system may also include a semantic model to convert each of the one or more word strings into a detected object and a detected action. The system may also include a synonym table to determine a preferred object based on the detected object and to determine a preferred action based on the detected action.

Abstract: A computer-implemented method is described for optimizing prompts for a speech-enabled application. The speech-enabled application is operable to receive communications from a number of users and communicate one or more prompts to each user to illicit a response from the user that indicates the purpose of the user's communication. The method includes determining a number of prompt alternatives (each including one or more prompts) to evaluate and determining an evaluation period for each prompt alternative. The method also includes automatically presenting each prompt alternative to users during the associated evaluation period and automatically recording the results of user responses to each prompt alternative. Furthermore, the method includes automatically analyzing the recorded results for each prompt alternative based on one or more performance criteria and automatically implementing one of the prompt alternatives based on the analysis of the recorded results.

Abstract: A system, method and software are described for facilitating transitions between speech-enabled applications employing action-object matrices. In an exemplary embodiment, an automatic call router determines a service agent destination by identifying an action-object combination included in a user utterance. In addition to forwarding the user to the service agent destination, the automatic call router sends one or more aspects of the user utterance to the service agent for use therewith. The service agent may then use aspects of the forwarded information to request further information from the user or to begin performance of a user desired transaction.

Abstract: A system, method and software for implementing an automated call routing application in a speech enabled call center environment are provided. In operation, the invention provides for the identification of a call center transaction selection from a natural language user utterance and the invocation of one or more scripts operable to route the user to a call center service agent configured to service the selected transaction. In the event a transaction selection cannot be readily identified or can only be partially identified, the invention provides for the initiation of a dialog module or script directed to eliciting a discernable transaction selection and/or the presentation of one or more menus from which the user may select an available call center transaction.

Abstract: A computer-implemented method is described for optimizing prompts for a speech-enabled application. The speech-enabled application is operable to receive communications from a number of users and communicate one or more prompts to each user to illicit a response from the user that indicates the purpose of the user's communication. The method includes determining a number of prompt alternatives (each including one or more prompts) to evaluate and determining an evaluation period for each prompt alternative. The method also includes automatically presenting each prompt alternative to users during the associated evaluation period and automatically recording the results of user responses to each prompt alternative. Furthermore, the method includes automatically analyzing the recorded results for each prompt alternative based on one or more performance criteria and automatically implementing one of the prompt alternatives based on the analysis of the recorded results.

Abstract: A system, method and software for implementing an automated call routing application in a speech enabled call center environment are provided. In operation, the invention provides for the identification of a call center transaction selection from a natural language user utterance and the invocation of one or more scripts operable to route the user to a call center service agent configured to service the selected transaction. In the event a transaction selection cannot be readily identified or can only be partially identified, the invention provides for the initiation of a dialog module or script directed to eliciting a discernable transaction selection and/or the presentation of one or more menus from which the user may select an available call center transaction.

Abstract: A system, method and software are described for facilitating transitions between speech-enabled applications employing action-object matrices. In an exemplary embodiment, an automatic call router determines a service agent destination by identifying an action-object combination included in a user utterance. In addition to forwarding the user to the service agent destination, the automatic call router sends one or more aspects of the user utterance to the service agent for use therewith. The service agent may then use aspects of the forwarded information to request further information from the user or to begin performance of a user desired transaction.

Abstract: A method and system for allowing users to control the operation of hyperlinks includes a graphical user interface that displays Internet and intranet hyperlinks from web sites. The graphical user interface includes a selectable button that accepts user settings. The user settings allow the users to determine the operation of the hyperlinks so that the hyperlinks either open in a new browser window or in an existing browser window when selected by the user. An interface engine generates the selectable button on the graphical user interface, examines the selectable button for any user settings, and controls the operation of the hyperlinks based upon the user settings.

Abstract: A method and system for automating the analysis of performance data includes an analysis system automatically analyzing a plurality of performance data sets, a task engine, and a score engine. The task engine allows for the matching of each performance data set with an assigned task for each performance data set and the retrieval of a correct key sequence for each performance data set. The score engine compares the correct key sequence with a recorded key sequence of the performance data set to determine if the assigned task is successfully accomplished. The score engine further calculates one or more response times for each performance data set. The automated analysis of performance data allows for a cost savings, more efficient use of time, and more reliable and consistent performance data analysis results.

Abstract: A method, software and system of developing personalities for interactive and/or automated call center applications are provided. According to teachings of the present invention, sample population questionnaires and interviews may be used to identify key personality traits. The impact of the identified key personality traits are then empirically determined. Based on the empirical determination of the key personality traits' impact on customer satisfaction, a plurality of personality profiles may be generated for evaluation. A plurality of application types and voice talents may then be employed to evaluate the impact of each personality profile on customer satisfaction, for different user populations and different types of automated systems. The personality traits for each automated system are preferably rated and reviewed to ensure a system accurately represents the identified key personality traits.

Abstract: A method, software and system of developing personalities for interactive and/or automated call center applications are provided. According to teachings of the present invention, sample population questionnaires and interviews may be used to identify key personality traits. The impact of the identified key personality traits are then empirically determined. Based on the empirical determination of the key personality traits' impact on customer satisfaction, a plurality of personality profiles may be generated for evaluation. A plurality of application types and voice talents may then be employed to evaluate the impact of each personality profile on customer satisfaction, for different user populations and different types of automated systems. The personality traits for each automated system are preferably rated and reviewed to ensure a system accurately represents the identified key personality traits.

Abstract: A method of designing a customer interface for a service center, such as an automated speech recognition (ASR) self-service center. Customer activity to an existing service center is monitored, providing customer model, which includes a collection of customer tasks. These tasks are assigned to action-object pairs, which are further assigned to routing destinations. Dialog modules are designed, based on the customer model data, including disambiguation dialogs.

Abstract: An interface is provided by creating prompts for the interface. The prompts represent tasks to be accomplished by a user and are obtained based on user input. The prompts are grouped according to relationships, obtained from the user input, among the tasks. The interface is updated based on user feedback. Each of the prompts is designated using user terminology obtained from the user input.