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Filtering by: Creator Kroll, Andrew J. Remove constraint Creator: Kroll, Andrew J. Advisor Burnett, Margaret Remove constraint Advisor: Burnett, Margaret

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  • Improving User Mental Models of XAI Systems with Inclusive Design Approaches

    Creator:
    Hamid, Md Montaser
    Abstract:
    Explainable Artificial Intelligence (XAI) systems aim to improve users’ understanding of AI but rarely consider the inclusivity aspects of XAI. Without inclusive approaches, improving explanations might not work well for everyone. This study investigates leveraging users’ diverse problem-solving styles as an inclusive strategy to fix an XAI prototype, with the...
    Resource Type:
    Masters Thesis
    Full Text:
    Andrew Anderson for his mentorship and advice throughout this research and beyond. Further, Puja Agarwal

  • Novel approaches to promoting end-user programming

    Creator:
    Bahmani, Faezeh
    Abstract:
    End-user programming has become widespread. The increasing size of this population and the prevalence of barriers that they face has sparked the development of approaches that promote end-user programing by helping them overcome barriers and teaching them programming. Despite the fact that these approaches have done well in achieving those...
    Resource Type:
    Masters Thesis
    Full Text:
    to thank Carlos Jensen, Christopher Scaffidi, and Andrew Ko who I had the pleasure to work with

  • GenderMag’s Socio-Technical Artifacts “Grow up” To Expand GenderMag’s Impact

    Creator:
    Bhuva, Brijesh H.
    Abstract:
    This project report presents an implementation of a GenderMag Recorder's Assistant from a semi-working state to a fully working Chrome web store application. In addition, this project report also discusses the persona customization option and limitations and how the persona tool eases the process of persona customization. For results, we...
    Resource Type:
    Capstone Project
    Full Text:
    Christopher Mendez, Andrew Anderson, Margaret Burnett and me. 2 Table Of Contents

  • The sum of its parts : investigating the component pieces of GenderMag

    Creator:
    Hill, Charles
    Abstract:
    Previous work introduced the GenderMag method, a software inspection method used to help software creators identify features within their software that are not gender-inclusive. Inclusiveness of software (gender or otherwise) matters because supporting diversity matters—it is well-known that the more diverse a group of problem-solvers, the higher the quality of...
    Resource Type:
    Masters Thesis

  • Toward end-user debugging of machine-learned programs

    Creator:
    Kulesza, Todd
    Abstract:
    The results of a machine learning from user behavior can be thought of as a program, and like all programs, it may need to be debugged. Providing ways for the user to debug it matters because without the ability to fix errors, users may find that the learned program’s errors...
    Resource Type:
    Masters Thesis
    Full Text:
    me to have been a constant source of inspiration and encouragement. Dr. Andrew Ko provided many

  • Variations Foraging

    Creator:
    Srinivasa Ragavan, Sruti
    Abstract:
    Information Foraging Theory (IFT) has successfully explained how people seek information in various domains, in turn, informing the design of several tools and information-intensive environments. However, prior research has not explored foraging in the presence of several, very similar variants of the same artifact. Such variants are commonplace in several...
    Resource Type:
    Dissertation
    Full Text:
    Santosh “Santy” Suresh. Thanks to Andrew Anderson and the others in Dr. Burnett’s group for

  • End user software engineering features for both genders

    Creator:
    Sorte, Shraddha
    Abstract:
    Previous research has revealed gender differences that impact females’ willingness to adopt software features in end users’ programming environments. Since these features have separately been shown to help end users problem solve, it is important to female end users’ productivity that we find ways to make these features more acceptable...
    Resource Type:
    Masters Thesis
    Full Text:
    issues in implementing the prototype with special mention to Andrew Christmann and Joey Lawrence who

  • Eliciting informal specifications from scientific modelers for evaluation and debugging

    Creator:
    Bogart, Christopher
    Abstract:
    Professional software engineers have an arsenal of techniques such as unit testing and assertions to check their specifications, but these techniques require tools, motivation, experience and training that programmers without professional software engineering training may not have. As a result, professionals in other fields, such as scientific modelers, face greater...
    Resource Type:
    Dissertation
    Full Text:
    context of the work we do; and Andrew Krizman, for uprooting himself to move across the country with me

  • Information foraging in debugging

    Creator:
    Lawrance, Joseph A.
    Abstract:
    Programmers spend a substantial fraction of their debugging time by navigating through source code, yet little is known about how programmers navigate. With the continuing growth in size and complexity of software, this fraction of time is likely to increase, which presents challenges to those seeking both to understand and...
    Resource Type:
    Dissertation
    Full Text:
    Rauwendaal, Andrew Stucky), my family (Kenneth, Renee, Michael, Steven, Chastity, Henry, Charles, Mary Jane

  • Supporting end-user debugging

    Creator:
    Kissinger, Cory
    Abstract:
    Although researchers have begun to explicitly support end-user programmers’ debugging by providing information to help them find bugs, there is little research addressing the right content to communicate to these users. The specific semantic content of these debugging communications matters because, if the users are not actually seeking the information...
    Resource Type:
    Masters Thesis
    Full Text:
    fostering some of the original thoughts that sparked this work I would like to recognize Andrew Ko and Dr