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: 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: 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: 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 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 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 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 is provided for modeling types of customer service representatives that use a customer service representative interface. The models are used to provide data for designing the customer service representative interface. The method includes identifying behavior types of customer service representatives that use the customer service representative interface and modeling the identified behavior types of the customer service representatives to design a desired customer service representative interface.

Abstract: A method is provided for modeling types of customer service representatives that use a customer service representative interface. The models are used to provide data for designing the customer service representative interface. The method includes identifying behavior types of customer service representatives that use the customer service representative interface and modeling the identified behavior types of the customer service representatives to design a desired customer service representative interface.

Abstract: A method for categorizing, describing, and modeling types of system users where information from the models can be used in designing a user interface. Users may have improved performance using the user interface. A list of tentative behaviors of the users is created. This list is created by identifying the goals desired for the user interface or the user models, and listing expected and desired behaviors that are relevant to these goals. The list is revised to include only those behaviors that are important or frequent based on the goals. Categorizing the behaviors is performed by obtaining information from users regarding their characteristics and behaviors. Each user's behavioral information is then converted to a score or value. The users are then mapped or charted based on which behaviors they exhibit. The mapping or charting is analyzed to identify clusters of users. These clusters define groups of users that have similar behaviors. The groups are then analyzed to produce descriptions of each group.

Abstract: A method for categorizing, describing, and modeling types of system users where information from the models can be used in designing a user interface. Users may have improved performance using the user interface. A list of tentative behaviors of the users is created. This list is created by identifying the goals desired for the user interface or the user models, and listing expected and desired behaviors that are relevant to these goals. The list is revised to include only those behaviors that are important or frequent based on the goals. Categorizing the behaviors is performed by obtaining information from users regarding their characteristics and behaviors. Each user's behavioral information is then converted to a score or value. The users are then mapped or charted based on which behaviors they exhibit. The mapping or charting is analyzed to identify clusters of users. These clusters define groups of users that have similar behaviors. The groups are then analyzed to produce descriptions of each group.