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 system and method of processing a call at a call center is provided. In a particular embodiment, the method includes receiving the call at the call center, receiving an indication element associated with a call center transaction, retrieving call center transaction data based on the indication element, and generating a sequence of pre-populated call center agent terminal transaction processing screens based on at least a portion of the call center transaction data. In a particular embodiment, a set of prioritized transactions based on likelihood of matching a customer request is disclosed.

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.

Abstract: The present disclosure provides a system and method configured to provide a caller with selectable activities and entertainment when the caller is on-hold. The system and method establishes a connection between a caller and a receiving system, wherein the receiving system is configured to access a plurality of entertainment sources utilizing a selectable link. The receiving system can determine a caller's selection and retrieve the selection from an entertainment provider that stores the selection. The caller can select an entertainment category from a plurality of entertainment categories and select specific audible selections within the categories to be played to the caller. The system and method can provide a menu driven interaction and respond to voice commands and touchtone input to provide the selected entertainment from specific artists, games, and entertainers.

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: Designing user interfaces includes categorizing users, by at least one processor, into a predetermined number of behaviorally distinct groups each specified by behavioral characteristics. The users are re-categorized, by the at least one processor, into the predetermined number of new behaviorally distinct groups each specified by revised behavioral characteristics. The user interfaces are designed, by the at least one processor, based on describing and modeling at least one of the re-categorized users and the new behaviorally distinct groups.

Abstract: A method of presenting instructions to a user sending an incoming communication to a service center includes presenting a menu to the user. The menu includes a plurality of procedure descriptors to the user. The user is presented, according to a selection of one of the procedure descriptors by the user, a sequence of instructions which enable completion of a procedure described by the selected procedure descriptor. The incoming communication is transferred at a position in the sequence of instructions to a representative. The incoming communication is also transferred back to the same position in the sequence of instructions.

Abstract: A call service center can include a call routing system that can use one or more action object identifiers. In one embodiment, a future action object identifier is associated with a task that is desired or otherwise intended to be performed at the call service center. The call routing system may route the call to a module that is not associated with the future action object identifier or perform a portion of a task within the same module, wherein the portion of the task is not associated with the future action object identifier. In another embodiment, at least two action object identifiers can be passed with a call from one module to another module. In a particular embodiment, a past, current, or future action object identifier, other information related to the call, or any combination thereof may be passed from one module to another module with the call.

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 includes an acoustic input engine configured to accept a speech input, to recognize phonemes of the speech input, and to create word strings based on the recognized phonemes. The system includes a semantic engine coupled to the acoustic engine and operable to identify actions and to identify objects by parsing the word strings. The system also includes an action-object pairing system to identify a dominant entry from the identified actions and the identified objects, to select a complement to the dominant entry from the identified actions and the identified objects, and to form an action-object pair that includes the dominant entry and the complement. The system further includes an action-object routing table operable to provide a routing destination based on the action-object pair. The system also includes a call routing module to route a call to the routing destination.

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: The disclosure is directed to a system including a factor engine, an audio clip sequencing engine and an announcement engine. The factor engine is configured to identify an ordered set of menu options based on a plurality of weighted factors. The audio clip sequencing engine is responsive to the factor engine and is configured to generate an ordered sequence of audio clips based on the ordered set of menu options. The announcement engine is responsive to the audio clip sequencing engine and is configured to play the ordered sequence of audio clips.

Abstract: A method of providing a caller with a directory assistance dialog. The dialog is configurable, at any level of the dialog, from an automated speech recognition (ASR) dialog to an operator-assisted (OP) dialog. The dialog is handed off to an operator if any level of the speech recognition dialog fails. Also, a configuration switch may be set to cause the dialog to be handed off to an operator even if a response at some level of the ASR dialog is successfully recognized.

Abstract: A method of designing an interface system that allows users to map the representation of their task directly to the interface. There are three major phases to the Customer-Centric Approach to Interface Design (C-CAID). End-users' tasks are categorized to determine the frequency of reasons or tasks of why users interact with a particular system. These reasons and their relative frequencies are used to design interface options that emphasize the user's task categories. Finally, the customer-centric interface designs are evaluated and compared with existing system interfaces using usability tests with actual users performing the tasks. The results from usability tests are used to pinpoint the task-option combinations that do not work well and which should be revised. Benefits of this customer-centric design are improved systems performance and increased user satisfaction.

Abstract: Designing user interfaces includes categorizing users, by at least one processor, into a predetermined number of behaviorally distinct groups each specified by behavioral characteristics. The users are re-categorized, by the at least one processor, into the predetermined number of new behaviorally distinct groups each specified by revised behavioral characteristics. The user interfaces are designed, by the at least one processor, based on describing and modeling at least one of the re-categorized users and the new behaviorally distinct groups.

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: A method and system of routing calls. In a particular embodiment, the method includes prompting a caller of a call for caller information with a first system. The first system has a first interface characteristic. The method further includes selecting a destination for the call based on the caller information. The destination has a second interface characteristic. The method also includes identifying a call interface characteristic change based on a difference between the first characteristic and the second characteristic, and advising the caller of the call interface characteristic change prior to routing the call.

Abstract: Designing user interfaces for users in a user population includes modeling behaviorally distinct groups of the users and customizing the user interfaces based on either or both interactive testing by the users and modeling the behaviorally distinct groups of the users. The user population is categorized into the behaviorally distinct groups of the users based on predetermined characteristics and behaviors for the users.