Xerox Corporation

Cornell Juliano

Donald A Brown

Mark S Penke

David M Parsons

Sarah E Campbell

Keith Stoll Karn

Richard A Schieck

Heidi M Grenek

Bridgette E Rivers

Debora Margaret Heiza Litwiller

A method is disclosed for operating a computer to transform and present data gathered from respondents to electronic surveys and to evaluate preferences related to digital two dimensional and three dimensional images. The method includes receiving computational results for an electronic survey in the form of data files, which include one or more cluster scores for clusters identified in an image presented in the electronic survey. The computational results are transformed for presentation on a graphical user interface. The method provides a summary of the computational results for all images viewed in the survey and detailed survey results for selected images from the survey. The method further provides formatting options for presentation of the computational results, with the formatting options including mode selection, cluster selection, and data display adjustment. The final formatted computational results are presented on the graphical user interface for review by an operator.

Graphical user interface for presenting image evaluation information

A method is provided for operating a computer to analyze image evaluation data from electronic survey respondents to evaluate preferences related to two dimensional and three dimensional images. Data files, which include designated area data, image attributes, and survey respondent opinions for one or more images in an electronic survey, are received. A graphical user interface permits an operator to reformat the designated area data and set analysis parameters. Cluster analysis is performed on the data files to reduce the dimensionality of the designated area data and to classify areas of the survey images that generate positive and negative responses. The analysis produces coordinate data to map cluster classifications and for construction of a heat map. In association with descriptive statistical analysis, cluster score evaluation is performed to identify the clusters of interest. Respondent comments and results from the statistical analysis are linked to clusters of interest.

Method and system for image evaluation data analysis

A method is disclosed for operating a computer to gather input from respondents to electronic surveys and to evaluate preferences related to digital two dimensional and three dimensional images. The method includes providing a drawing tool for enabling survey respondent(s) to designate areas of interest on digital two dimensional and three dimensional images within an electronic survey. A graphical user interface enables the survey respondent(s) to utilize the drawing tool to create data files, which may include designated area data, attributes, and survey respondent opinions for designated area(s) of interest within an image. The data files are saved in a machine-readable file for analysis.

Graphical user interface for gathering image evaluation information

A method for providing a secure fax confirmation page from a facsimile capable device having a user interface includes receiving documents, in the form of a fax job, to be transmitted by the facsimile capable device. After receipt of a recipient's fax number, a determination is made as to whether secure fax confirmation has been selected from the user interface. A passcode is received prior to scanning of the documents. The interface displays a fax job list, which identifies whether a secure fax confirmation page is associated with individual fax jobs. Upon selection of a confirmation page by the operator, the facsimile capable device prints a secure fax confirmation page.

Method and system for providing secure facsimile transmission confirmation

A method for generating a compliance rating for federally mandated accessibility standards for a consumer oriented product is disclosed wherein relevance criteria for at least one provision of said standards has already been defined. The method involves the steps of identifying at least one configuration for the product to rate, determining which rules of the standard are relevant to the identified configuration and generating a list of user functions for the configuration, dividing each of the user task functions intended to be performed into a plurality of sub-tasks, filtering the generated list of tasks as to appropriateness and applicability, and performing each sub-task and rating the performance against the identified relevant standards as defined therein. Lastly, the method involves repeating these steps until all configurations of the product under review have been rated.

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Churchville, NY, United States of America

Cornell Juliano