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Filtering by: Creator Hase, Claudia C. Remove constraint Creator: Hase, Claudia C. Advisor Burnett, Margaret M. Remove constraint Advisor: Burnett, Margaret M.

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  • Practices for Engineering Gender-Inclusivity into Software

    Creator:
    Hilderbrand, Claudia
    Abstract:
    Although the need for gender-inclusivity in software itself is gaining attention among both SE researchers and SE practitioners, and methods have been published to help, little has been reported on how to make such methods work in real-world settings. For example, how do busy software practitioners use such methods in...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Claudia Hilderbrand

  • Inclusive Software Design and Its Methods for Beyond-WIMP User Interfaces

    Creator:
    Fallatah, Abrar
    Abstract:
    While digital inclusivity researchers and software practitioners have been trying to address exclusion biases in Windows, Icons, Menus, and Pointers (WIMP) user interfaces (UIs) for a long time, little has been done to investigate if and how inclusive software design and its methods that have been devised for WIMP UIs...
    Resource Type:
    Dissertation
    Full Text:
    ), Semi-Open (c,d), and Self-Contained (e,f). The locations of the ethnographer/observer, wizard and the

  • Pedagogical Content Knowledge for Teaching Inclusive Design

    Creator:
    Oleson, Alannah L.
    Abstract:
    Inclusive design is important in today's software industry, but there is little research about how to teach it. In collaboration with 9 teacher-researchers across 8 U.S. universities and more than 400 computer and information science students, we embarked upon an Action Research investigation to gather insights into the pedagogical content...
    Resource Type:
    Honors College Thesis
    Full Text:
    , Chris, Amber, Claudia, Zoe, Shannon, Christopher, and Susmita – I look forward to all the great things

  • Mental Models of Mere Mortals with Explanations of Reinforcement Learning

    Creator:
    Anderson, Andrew A.
    Abstract:
    How should reinforcement learning (RL) agents explain themselves to humans not trained in AI? To gain insights into this question, we conducted a 124 participant, four-treatment experiment to compare participants’ mental models of an RL agent in the context of a simple Real-Time Strategy (RTS) game. The four treatments isolated...
    Resource Type:
    Masters Thesis
    Full Text:
    agent’s next action worse than all other treatments’ participants. c©Copyright by Andrew A. Anderson

  • How does AAR/AI Support Problem Solvers with Diverse Behaviors and Cognitive Styles?

    Creator:
    Dikkala, Rupika
    Abstract:
    "What’s wrong with this AI?" Explainable AI (XAI) researchers are moving beyond explaining an AI’s actions, to helping users detect an AI’s failures. However this detection may not be enough—for actionability, we often need to pinpoint which part failed. We investigate how AAR/AI, a structured assessment process, supports users with...
    Resource Type:
    Masters Thesis
    Full Text:
    zoom in/out (a magnified version of the diagram shown in Figure 3.3); (c) the AAR/AI inner-loop

  • SocioEconomicMag Meets a Platform for SES-Diverse College Students: A Case Study

    Creator:
    Agarwal, Puja
    Abstract:
    Emerging research shows that individual differences in how people use technology sometimes cluster by socioeconomic status (SES) and that when technology is not socioeconomically inclusive, low-SES individuals may abandon it. To understand how to improve technology’s SES-inclusivity, we present a multi-phase case study on SocioEconomicMag (SESMag), an emerging inspection method...
    Resource Type:
    Masters Thesis
    Full Text:
    4.1 Phase 1: Team C uses SESMag to evaluate their platform……..…........……17 4.2 Phase 2: Team C

  • The InclusiveMag Method: A Start Towards More Inclusive Software for Diverse Populations

    Creator:
    Mendez, Christopher
    Abstract:
    How can software practitioners assess whether their software supports diverse users? Although there are empirical processes that can be used to find “inclusivity bugs” piecemeal, what is often needed is a systematic inspection method to assess software’s support for diverse populations. To help fill this gap, this thesis introduces InclusiveMag,...
    Resource Type:
    Masters Thesis
    Full Text:
    InclusiveMag was co-authored with Larissa Letaw, Simone Stumpf, Anita Sarma and Claudia Hilderbrand and the

  • Explanations and Information Foraging in Real-Time Strategy Games

    Creator:
    Penney, Sean J.
    Abstract:
    Assessing and understanding intelligent agents can be a difficult task for users who may lack an artificial intelligence (AI) background. A relatively new area, called “explainable AI,” is emerging to help address this problem, but little is known about how to present and structure information that an explanation system might...
    Resource Type:
    Masters Thesis
    Full Text:
    Dodge, Andrew Anderson, and Claudia Hilderbrand have been an amazing team for our explainable

  • Explanations and Processes to Enable Humans to Assess AI with Respect to Manipulable Properties

    Creator:
    Dodge, Jonathan E.
    Abstract:
    Assessing AI systems is difficult. Humans rely on AI systems in increasing ways, both visible and invisible, meaning a variety of stakeholders need a variety of assessment tools (e.g., a professional auditor, a developer, and an end user all have different needs). We posit that it is possible to provide...
    Resource Type:
    Dissertation
    Full Text:
    . . . . . . . . . . . . . . . . . . 147 B Design evolution of explanations in Chapter 4 and 5 . . . . . . . . . . . . . 148 C More about