The Experts below are selected from a list of 8490 Experts worldwide ranked by ideXlab platform

David Redmiles - One of the best experts on this subject based on the ideXlab platform.

  • INTERACT - Large-Scale Collection of Usage Data to Inform Design.
    2001
    Co-Authors: David Michael Hilbert, David Redmiles
    Abstract:

    The two most commonly used techniques for evaluating the fit between application design and use — namely, usability testing and beta testing with user feedback — suffer from a number of limitations that restrict evaluation scale (in the case of usability tests) and Data quality (in the case of beta tests). They also fail to provide developers with an adequate basis for: (1) assessing the impact of suspected problems on users at large, and (2) deciding where to focus development and evaluation resources to maximize the benefit for users at large. This paper describes an agent-based approach for Collecting Usage Data and user feedback over the Internet that addresses these limitations to provide developers with a complementary source of Usageand usability-related information. Contributions include: a theory to motivate and guide Data collection, an architecture capable of supporting very large scale Data collection, and real-word experience suggesting the proposed approach is complementary to existing practice.

  • Collecting Usage Data and User Feedback on a Large Scale to Inform Software Development
    1999
    Co-Authors: David M Hilbert, David Redmiles
    Abstract:

    The two most commonly used techniques for evaluating the fit between application design and use — namely, usability testing and beta testing with user feedback — suffer from a number of limitations that restrict evaluation scale (in the case of usability tests) and Data quality (in the case of beta tests). They also fail to provide developers with an adequate basis for: (1) assessing the impact of suspected problems (and proposed solutions) on users at large, and (2) deciding where to focus scarce development and evaluation resources to maximize the benefit for users at large. This article describes an approach to Usage Data and user feedback collection that addresses these limitations to provide developers with a complementary source of Usage- and usability-related information. This research has been subjected to a number of evaluative activities including: (1) the development of three research prototypes at NYNEX Corporation, the University of Colorado, and the University of California, (2) the incorporation of one prototype by independent third party developers as part of an integrated demonstration scenario performed by Lockheed Martin Corporation, and (3) observation and participation in two industrial development projects, at NYNEX and Microsoft Corporations, in which developers sought to improve the application development process based on Usage Data and user feedback. The proposed approach involves a development platform for creating software agents that are deployed over the Internet to observe application use and report Usage Data and user feedback to developers to help improve the fit between design and use. The Data can be used to illuminate how applications are used, to uncover mismatches in actual versus expected use, and to increase user involvement in the evolution of interactive systems. This research is aimed at helping developers make more informed design, impact assessment, and effort allocation decisions, ultimately leading to more costeffective development of software that is better suited to user needs.

  • agents for Collecting application Usage Data over the internet
    Adaptive Agents and Multi-Agents Systems, 1998
    Co-Authors: David M Hilbert, David Redmiles
    Abstract:

    Empirical evaluation of software systems in actual use is critical in software engineering. Prototyping, beta testing, and usability testing are widely employed to refine system requirements, to detect anomalous or unexpected system and user behavior, and to evaluate software usefulness and usability. The World Wide Web enables cheap, rapid, and large-scale distribution of software for evaluation purposes. However, current techniques for Collecting Usage Data have not kept pace with the opportunities presented by Web-based deployment. This paper presents an agent-based approach and prototype system that makes large-scale collection of Usage Data over the Internet a practical possibility.

  • an approach to large scale collection of application Usage Data over the internet
    International Conference on Software Engineering, 1998
    Co-Authors: David M Hilbert, David Redmiles
    Abstract:

    Empirical evaluation of software systems in actual Usage situations is critical in software engineering. Prototyping, beta testing, and usability testing are widely used to refine system requirements, detect anomalous or unexpected system and user behavior, and to evaluate software usefulness and usability. The World Wide Web enables cheap, rapid, and large-scale distribution of software for evaluation purposes. However, current techniques for Collecting Usage Data have not kept pace with the opportunities presented by Web-based deployment. This paper presents an approach and prototype system that makes large-scale collection of Usage Data over the Internet a practical possibility. A general framework for comparing software monitoring systems is presented and used to compare the proposed approach to existing techniques.

  • edem intelligent agents for Collecting Usage Data and increasing user involvement in development
    Intelligent User Interfaces, 1998
    Co-Authors: David M Hilbert, Jason E Robbins, David Redmiles
    Abstract:

    Expectation-Driven Event Monitoring (EDEM) provides developers with a platform for creating software agents to collect Usage Data and increase user involvement in the development of interactive systems. EDEM collects information that is currently lost regarding actual Usage of applications to promote improved usability and a more empirically grounded design process.

David M Hilbert - One of the best experts on this subject based on the ideXlab platform.

  • Collecting Usage Data and User Feedback on a Large Scale to Inform Software Development
    1999
    Co-Authors: David M Hilbert, David Redmiles
    Abstract:

    The two most commonly used techniques for evaluating the fit between application design and use — namely, usability testing and beta testing with user feedback — suffer from a number of limitations that restrict evaluation scale (in the case of usability tests) and Data quality (in the case of beta tests). They also fail to provide developers with an adequate basis for: (1) assessing the impact of suspected problems (and proposed solutions) on users at large, and (2) deciding where to focus scarce development and evaluation resources to maximize the benefit for users at large. This article describes an approach to Usage Data and user feedback collection that addresses these limitations to provide developers with a complementary source of Usage- and usability-related information. This research has been subjected to a number of evaluative activities including: (1) the development of three research prototypes at NYNEX Corporation, the University of Colorado, and the University of California, (2) the incorporation of one prototype by independent third party developers as part of an integrated demonstration scenario performed by Lockheed Martin Corporation, and (3) observation and participation in two industrial development projects, at NYNEX and Microsoft Corporations, in which developers sought to improve the application development process based on Usage Data and user feedback. The proposed approach involves a development platform for creating software agents that are deployed over the Internet to observe application use and report Usage Data and user feedback to developers to help improve the fit between design and use. The Data can be used to illuminate how applications are used, to uncover mismatches in actual versus expected use, and to increase user involvement in the evolution of interactive systems. This research is aimed at helping developers make more informed design, impact assessment, and effort allocation decisions, ultimately leading to more costeffective development of software that is better suited to user needs.

  • agents for Collecting application Usage Data over the internet
    Adaptive Agents and Multi-Agents Systems, 1998
    Co-Authors: David M Hilbert, David Redmiles
    Abstract:

    Empirical evaluation of software systems in actual use is critical in software engineering. Prototyping, beta testing, and usability testing are widely employed to refine system requirements, to detect anomalous or unexpected system and user behavior, and to evaluate software usefulness and usability. The World Wide Web enables cheap, rapid, and large-scale distribution of software for evaluation purposes. However, current techniques for Collecting Usage Data have not kept pace with the opportunities presented by Web-based deployment. This paper presents an agent-based approach and prototype system that makes large-scale collection of Usage Data over the Internet a practical possibility.

  • an approach to large scale collection of application Usage Data over the internet
    International Conference on Software Engineering, 1998
    Co-Authors: David M Hilbert, David Redmiles
    Abstract:

    Empirical evaluation of software systems in actual Usage situations is critical in software engineering. Prototyping, beta testing, and usability testing are widely used to refine system requirements, detect anomalous or unexpected system and user behavior, and to evaluate software usefulness and usability. The World Wide Web enables cheap, rapid, and large-scale distribution of software for evaluation purposes. However, current techniques for Collecting Usage Data have not kept pace with the opportunities presented by Web-based deployment. This paper presents an approach and prototype system that makes large-scale collection of Usage Data over the Internet a practical possibility. A general framework for comparing software monitoring systems is presented and used to compare the proposed approach to existing techniques.

  • edem intelligent agents for Collecting Usage Data and increasing user involvement in development
    Intelligent User Interfaces, 1998
    Co-Authors: David M Hilbert, Jason E Robbins, David Redmiles
    Abstract:

    Expectation-Driven Event Monitoring (EDEM) provides developers with a platform for creating software agents to collect Usage Data and increase user involvement in the development of interactive systems. EDEM collects information that is currently lost regarding actual Usage of applications to promote improved usability and a more empirically grounded design process.

  • IUI - EDEM: intelligent agents for Collecting Usage Data and increasing user involvement in development
    Proceedings of the 3rd international conference on Intelligent user interfaces - IUI '98, 1998
    Co-Authors: David M Hilbert, Jason E Robbins, David Redmiles
    Abstract:

    Expectation-Driven Event Monitoring (EDEM) provides developers with a platform for creating software agents to collect Usage Data and increase user involvement in the development of interactive systems. EDEM collects information that is currently lost regarding actual Usage of applications to promote improved usability and a more empirically grounded design process.

Richard E. Schuler - One of the best experts on this subject based on the ideXlab platform.

  • Collecting Usage Data for Analyzing a Heavy-Vehicle, Divisible-Load Permit System
    Transportation Research Record: Journal of the Transportation Research Board, 1996
    Co-Authors: Arnim H. Meyburg, Jean-daniel M. Saphores, Richard E. Schuler
    Abstract:

    The collection of truck Usage Data for performing a benefit-cost analysis of the New York State Divisible-Load Permit System is described. To motivate the Data collection requirements, the procedures used for estimating both infrastructure costs and economic benefits are briefly described. The survey procedure is summarized, as are Data gathered on permitted vehicles, operator characteristics, and truck Usage. Advantages and shortcomings of the methodology for Collecting Data are reviewed from the perspective of analyzing divisible-load permit systems for heavy vehicles. The overall study is one of the first attempts to assess the economic impact of permit systems based on actual Usage Data provided voluntarily by truck operators through seasonal mail surveys. As illustrated by the authors in a 1994 report, the economic benefits of a permit system for trucks hauling heavy divisible loads can be substantial. The collected survey Data were adequate for providing order-of-magnitude estimates of benefits and costs although bridge damage and accident costs could not be evaluated because of a lack of Data. Results should therefore be of interest to transportation officials throughout the country for use in evaluating the merits of allowing extra-heavy vehicles on the roads.

  • Collecting Usage Data FOR ANALYZING A HEAVY-VEHICLE, DIVISIBLE-LOAD PERMIT SYSTEM
    Transportation Research Record: Journal of the Transportation Research Board, 1996
    Co-Authors: Arnim H. Meyburg, Jean-daniel M. Saphores, Richard E. Schuler
    Abstract:

    The collection of truck Usage Data for performing a benefit-cost analysis of the New York State Divisible-Load Permit System is described. To motivate the Data collection requirements, the procedures used for estimating both infrastructure costs and economic benefits are briefly described. The survey procedure is summarized, as are Data gathered on permitted vehicles, operator characteristics, and truck Usage. Advantages and shortcomings of the methodology for Collecting Data are reviewed from the perspective of analyzing divisible-load permit systems for heavy vehicles. The overall study is one of the first attempts to assess the economic impact of permit systems based on actual Usage Data provided voluntarily by truck operators through seasonal mail surveys. As illustrated by the authors in a 1994 report, the economic benefits of a permit system for trucks hauling heavy divisible loads can be substantial. The collected survey Data were adequate for providing order-of-magnitude estimates of benefits and ...

Arnim H. Meyburg - One of the best experts on this subject based on the ideXlab platform.

  • Collecting Usage Data for Analyzing a Heavy-Vehicle, Divisible-Load Permit System
    Transportation Research Record: Journal of the Transportation Research Board, 1996
    Co-Authors: Arnim H. Meyburg, Jean-daniel M. Saphores, Richard E. Schuler
    Abstract:

    The collection of truck Usage Data for performing a benefit-cost analysis of the New York State Divisible-Load Permit System is described. To motivate the Data collection requirements, the procedures used for estimating both infrastructure costs and economic benefits are briefly described. The survey procedure is summarized, as are Data gathered on permitted vehicles, operator characteristics, and truck Usage. Advantages and shortcomings of the methodology for Collecting Data are reviewed from the perspective of analyzing divisible-load permit systems for heavy vehicles. The overall study is one of the first attempts to assess the economic impact of permit systems based on actual Usage Data provided voluntarily by truck operators through seasonal mail surveys. As illustrated by the authors in a 1994 report, the economic benefits of a permit system for trucks hauling heavy divisible loads can be substantial. The collected survey Data were adequate for providing order-of-magnitude estimates of benefits and costs although bridge damage and accident costs could not be evaluated because of a lack of Data. Results should therefore be of interest to transportation officials throughout the country for use in evaluating the merits of allowing extra-heavy vehicles on the roads.

  • Collecting Usage Data FOR ANALYZING A HEAVY-VEHICLE, DIVISIBLE-LOAD PERMIT SYSTEM
    Transportation Research Record: Journal of the Transportation Research Board, 1996
    Co-Authors: Arnim H. Meyburg, Jean-daniel M. Saphores, Richard E. Schuler
    Abstract:

    The collection of truck Usage Data for performing a benefit-cost analysis of the New York State Divisible-Load Permit System is described. To motivate the Data collection requirements, the procedures used for estimating both infrastructure costs and economic benefits are briefly described. The survey procedure is summarized, as are Data gathered on permitted vehicles, operator characteristics, and truck Usage. Advantages and shortcomings of the methodology for Collecting Data are reviewed from the perspective of analyzing divisible-load permit systems for heavy vehicles. The overall study is one of the first attempts to assess the economic impact of permit systems based on actual Usage Data provided voluntarily by truck operators through seasonal mail surveys. As illustrated by the authors in a 1994 report, the economic benefits of a permit system for trucks hauling heavy divisible loads can be substantial. The collected survey Data were adequate for providing order-of-magnitude estimates of benefits and ...

Muriel Foulonneau - One of the best experts on this subject based on the ideXlab platform.

  • Collecting Usage Data for digital preservation
    Dagstuhl Seminar Proceedings, 2010
    Co-Authors: Muriel Foulonneau
    Abstract:

    While IT environments are moving towards personalized and context-aware adaptive content and services, digital preservation systems should go beyond the current mechanisms to preserve digital objects. Social and personal experiences need to be investigated as part of the context of digital resources, i.e., the way in which a resource was used and perceived, by retaining Usage Data for instance. Overall, users have to be further involved in the digital preservation processes, in the creation of context metaData, in the storage and migration of resources, in particular for personal archives.

  • Automation in Digital Preservation - Collecting Usage Data for Digital Preservation.
    2010
    Co-Authors: Muriel Foulonneau
    Abstract:

    While IT environments are moving towards personalized and context-aware adaptive content and services, digital preservation systems should go beyond the current mechanisms to preserve digital objects. Social and personal experiences need to be investigated as part of the context of digital resources, i.e., the way in which a resource was used and perceived, by retaining Usage Data for instance. Overall, users have to be further involved in the digital preservation processes, in the creation of context metaData, in the storage and migration of resources, in particular for personal archives.