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.

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 that incorporates a detailed, precise procedure of designing a user interface by utilizing agent behavioral models. This method applies quantitative and qualitative agent behavioral models derived through the Categorize Describe-Model (CDM) methodology to the iterative design stage of interface development. The method includes: (1) categorizing at least two users; (2) validating targeted user behaviors and preferences; (3) capturing emergent behaviors and preferences; (4) tracking design requirements and implementations; (5) accommodating diversity in performance and preference during interactive testing; and (6) customizing a user interface design to each of the at least two users.

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: A system includes a network interface, a speech input conversion component, and a routing module. Speech input is received in connection with a call. At least a segment of the speech input is transformed into a first textual format. A first list of entries is generated based, at least partially, on consideration of the first textual format. The first list includes at least one action with a corresponding confidence level and at least one object with another corresponding confidence level. An entry of the first list having a higher corresponding confidence level is selected, and a second textual format is output. A second list is generated based, at least partially, on consideration of the selected entry and the second textual format. A routing option is suggested based on the selected entry and a pairing entry in the second list.

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: 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: 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: 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 method for processing a call is disclosed. The method receives a speech input in connection with a call and transforms at least a segment of the speech input into a first textual format. The method also generates a first list of entries based, at least partially, on a consideration of the first textual format, the first list comprising at least one action with a corresponding confidence level and at least one object with another corresponding confidence level, selects an entry of the first list having a higher corresponding confidence level, outputs a second textual format. The method further generates a second list based, at least partially on consideration of the selected entry and the second textual format and suggesting a routing option for the call based on the selected entry and a pairing entry in the second list having a high corresponding confidence level.

Abstract: A system and method for providing customer activities while in queue allows for one or more customers to interact with one or more customer activities while waiting to speak with a live agent. The customers engage the customer activities while holding in a queue where the customer activities reduce the boredom, frustration, and perceived hold duration associated with holding to speak to a live agent. The customers are offered one or more options of the customer activities to interact with and the system and method monitors the customers' selections and interaction with the customer activities. As agents become available, each customer is transferred to an agent along with information regarding the customer's interaction with a selected customer activity. Upon completion of the interaction between the agent and the customer, the customer has the option to return to the selected customer activity and continue interacting with the selected customer activity.

Abstract: A system, method and software for facilitating a speech-enabled call routing application using an action-object matrix is disclosed. In operation, a natural language user utterance may be evaluated to identify an action and object available in an action-object matrix indicating transactions or operations available to a user. Depending upon the contents of the natural language user utterance, additional prompts and/or a disambiguation dialogue may be effected to elicit an available action-object combination selection from the user. Following identification of an action-object combination from the natural language user utterance, the action-object matrix may cooperate with a look-up table to identify an appropriate use routing destination. Following identification of an appropriate routing destination, the user connection may be routed to a service agent or module configured to facilitate the user selected transaction as indicated by the action-object combination.

Abstract: A system and method for providing customer activities while in queue allows for one or more customers to interact with one or more customer activities while waiting to speak with a live agent. The customers engage the customer activities while holding in a queue where the customer activities reduce the boredom, frustration, and perceived hold duration associated with holding to speak to a live agent. The customers are offered one or more options of the customer activities to interact with and the system and method monitors the customers' selections and interaction with the customer activities. As agents become available, each customer is transferred to an agent along with information regarding the customer's interaction with a selected customer activity. Upon completion of the interaction between the agent and the customer, the customer has the option to return to the selected customer activity and continue interacting with the selected customer activity.

Abstract: A method of evaluating a design for a call center system. A particular system is put into use and data collected to quantify various quality of service factors. Each quality of service factor is multiplied times an expense multiplier and added to an agent cost factor. The result is a metric that describes the system in monetary terms.

Abstract: A system, method and software for facilitating a speech-enabled call routing application using an action-object matrix is disclosed. In operation, a natural language user utterance may be evaluated to identify an action and object available in an action-object matrix indicating transactions or operations available to a user. Depending upon the contents of the natural language user utterance, additional prompts and/or a disambiguation dialogue may be effected to elicit an available action-object combination selection from the user. Following identification of an action-object combination from the natural language user utterance, the action-object matrix may cooperate with a look-up table to identify an appropriate use routing destination. Following identification of an appropriate routing destination, the user connection may be routed to a service agent or module configured to facilitate the user selected transaction as indicated by the action-object combination.

Abstract: A customer service call system that provides both manual (assisted by a service representative) and automated problem solving dialogs. A routing process determines which dialog is appropriate for incoming calls. The routing process determines a probability that the automated system will resolve the problem and also determines an expected hold time for the customer to reach the manual dialog. The routing process uses this information to determine how the call should be routed.

Abstract: A method and system for automating the creation of customer-centric interfaces includes a customer-centric interface system automatically creating a customer-centric interface, a collection engine, a customer language engine, a task frequency engine, a customer structure engine, and a customer performance engine. The collection engine collects a plurality of customer intention information. The customer language engine utilizes the customer intention information to create customer-centric menu prompts using the customers own terminology and action specific object words. The task frequency engine determines a frequency of occurrence for the tasks for which the customers contact the customer-centric interface and orders the tasks within the customer-centric interface. The customer structure engine determines how the customers relate the tasks together and groups the tasks according to task relationships.

Abstract: A customer service call system that provides both manual (assisted by a service representative) and automated problem solving dialogs. A routing process determines which dialog is appropriate for incoming calls. The routing process determines a probability that the automated system will resolve the problem and also determines an expected hold time for the customer to reach the manual dialog. The routing process uses this information to determine how the call should be routed.