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Filtering by: Subject Human-Robot Interaction Remove constraint Subject: Human-Robot Interaction Advisor Burnett, Margaret Remove constraint Advisor: Burnett, Margaret Subject Human-computer interaction Remove constraint Subject: Human-computer interaction

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  • 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:
    and evaluators envision a particular group of users and their needs during interaction design

  • Fixing Inclusivity Bugs: Information Processing Styles and Learning Styles

    Creator:
    Steine-Hanson, Zoe K.
    Abstract:
    Most software systems today do not support cognitive diversity. Further, because of differences in problem-solving styles that cluster by gender, software that poorly supports cognitive diversity can also embed gender biases. To help software professionals fix gender bias “bugs” related to people’s problem-solving styles for information processing and learning of...
    Resource Type:
    Honors College Thesis
    Full Text:
    an extension of a paper submitted to the 2019 IEEE Symposium on Visual Languages & Human-Centric

  • Getting to local information : the role of different costs

    Creator:
    Rajaram, Vidya
    Abstract:
    Finding information can cost a significant amount of time, even when the information is already stored on the user’s local computer system. There is significant research aimed at reducing these time costs, but little research into exactly what these costs are or how they impact people’s use of tools and...
    Resource Type:
    Masters Thesis
    Full Text:
    . TaskTracer listened in on all user interaction events such as keypresses, mouse clicks, and window focus