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: In a disclosed method for interpreting automatic speech recognition (ASR) performance data, a data processing system may receive user input that selects a log file to be processed. The log file may contain log records produced by an ASR system as a result of verbal interaction between an individual and the ASR system. In response to receiving the user input, the data processing system may automatically interpret data in the log records and generate interpretation results. The interpretation results may include a duration for a system prompt communicated to the individual by the ASR system, a user response to the system prompt, and a duration for the user response. The user response may include a textual representation of a verbal response from the individual, obtained through ASR. The interpretation results may also include an overall duration for the telephone call.

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 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: Method and arrangement for providing a modular tractor assembly including a driver compartment having a rearward connecting edge configured to slidably receive a complementary forward connecting edge of one of a day compartment module, a sleeper compartment module, or an inter-modular fairing connector assembly. A portion of the rearward connecting edge of the driver compartment has a flange portion disposed at an acute angle relative to a long axis of the tractor for complementarily receiving a forward connecting edge of one of the day compartment module, the sleeper compartment module and the inter-modular fairing connector assembly. The interface between the driver compartment and the day compartment module, a sleeper compartment module, or an inter-modular fairing connector assembly is substantially hidden by the doors of the vehicle to provide an aesthetically pleasing appearance.

Abstract: A method is provided that identifies and categorizes the reason a customer contacts a customer service center, i.e. the customer's goal or problem. In addition, the method allows the customer to be categorized into a set of behavior-based groupings. This integration of goal and customer categorization establishes the foundation to optimally direct the customer's request through an appropriate center. This method can collect information regarding the customer's behavior and can use that behavioral information to determine the optimal manner for handling the customer request.

Abstract: A method and system for automating the disambiguation of search results includes one or more database including a plurality of records, a search engine, and a disambiguation engine. The search engine allows for the searching of one or more of the databases for one or more search terms provided by a caller. The disambiguation engine differentiates between one or more returned records located by the search engine where the returned records satisfy the search terms. Furthermore, the disambiguation engine disambiguates the returned records based on the number of the returned records. The disambiguation engine disambiguates the returned records by providing a direct choice if the number of returned records is below a low threshold, providing a pick list if the number of returned records is between the low threshold and a high threshold, and requesting additional information if the number of returned records is above the high threshold.

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: 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 and system for automating the analysis of word frequencies includes a frequency system automatically analyzing a plurality of statements, a count engine, and a cluster engine. The count engine allows for the counting of unique words in the statements and the determination of a frequency of occurrence for each unique word. The frequency system further includes a phrase file allowing for the count engine to specify groups of words as single unique words and a synonym file allowing for the count engine to group one or more words together in synonym groups to be specified as single unique words. The cluster engine locates a plurality of clusters in the statements and determines a cluster frequency of occurrence for each of the clusters. The automated analysis of the statements allows for cost savings, more efficient use of time, and more reliable and consistent word frequency results.

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 method is provided for designing an interface system. The method includes receiving a call from a customer at a call center, and logging a reason the customer is calling the call center. Subsequently, reasons from multiple customers are collected and categorized into task categories to be performed by the interface system. Menu options can then be designed based upon the task categories. The menu options include some of the language the customers used to express the reason for calling the call center. Performance of the interface system is evaluated by using cumulative response time (CRT), which is a total time a user interfaces with the system, and routing accuracy. The routing accuracy accounts for whether the user successfully navigated the interface system to a correct destination, whether the user navigated to an incorrect destination, and whether the user did not navigate to any destination.

Abstract: A method and system for an automated departure strategy from an automated system includes a track engine and an error engine. The track engine allows for the tracking and storing of one or more utterances spoken by a caller in response to one or more prompts. In addition, the track engine classifies each of the utterances with a confidence level. The error engine determines when one of the utterances initiates an error condition and transfers the caller to an operator on the occurrence of the error condition. In addition to transferring the caller to the operator, the error engine plays to the operator an error utterance, causing the error condition, and a preceding utterance, preceding the error utterance. Furthermore, the error engine populates an operator screen with information provided by the caller in the utterances for utterances classified with a high level of confidence.

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 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.