Browsing by Author "Miller, Andrew"

Now showing 1 - 5 of 5
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    A Model of Project Continuation in Game Jams and Hackathons
    (2024-08) Faas, Travis Byron; Miller, Andrew; Dombrowski, Lynn; Brady, Erin; Hickey, Daniel
    Game jams and hackathons are events where individuals design and build new technology prototypes in a short timeframe. Prototypes made at hackathons are often abandoned after the event and are never finished or used by their intended audiences. Though continued work on prototypes is not the only goal of hackathons, many expect that some hackathon projects will continue to be developed to fulfill the civic, educational, or entrepreneurial goals of hackathon organizers and attendees. To assist hackathon organizers in running hackathons that produce continued projects, I present in this document a model of project continuation in online hackathons and a tool that directs conversations that develops the necessary components of continuation. This model was developed through three studies: a design study that generated the design for a bot to be used in an online game jam that directs users in breaking the boundedness of their game concept, a deployment study where the bot was deployed and used in an online game jam, and a longitudinal study that followed the continuation practices of individuals who used the bot during the jam. In the presented continuation model, I highlight how recent personal interests generate an extended development context that reduces the boundedness of game jams and show how regular sharing and discussion of progress creates social investment in the success of projects that contributes to continuation intention and support. This continuation model requires a resting period post-hackathon, which sometimes generates conceptual continuation where a project is abandoned but the major project concepts are explored in later projects. Taking this idea of concept continuation further, I offer suggestions on how to gain continuation in hackathons by reducing their time-boundedness and making the events more permeable to allow for prior-existing projects to be accepted and further developed at these events.
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    Ask the parents: Testing the acceptability and usability of a hypospadias decision aid
    (Elsevier, 2022) Binion, Kelsey; Miller, Andrew; Misseri, Rosalia; Kaefer, Martin; Longtin, Krista; Carroll, Aaron; Wiehe, Sarah E.; Chan, Katherine H.; Communication Studies, School of Liberal Arts
    Introduction: In previous work, we engaged key stakeholders to create a web-based decision aid (DA) prototype to facilitate shared decision making about hypospadias. Objective: The study's objective was to use a human-centered design approach to assess the DA's acceptability and usability and revise it prior to pilot testing. Methods: We recruited English-speaking parents (≥18 years old) of sons with hypospadias (≤5 years) for a two-phase process of semi-structured phone/video interviews to obtain feedback about our DA prototype. DA webpages included: "Hypospadias," "Surgery Basics," "No Surgery," "Family Stories," "Help Me Decide," and "FAQs." In both phases, participants viewed the DA using the "think aloud" technique and completed several validated scales to evaluate its acceptability and usability. In phase 1, we collected feedback about the "Homepage" organization, values clarification methods (VCM), and webpage content. In phase 2, participants searched the DA for answers to hypospadias-related questions, provided feedback on testimonial videos and VCM, and shared their preferences about data visualizations. All interviews were audio recorded. After each phase, transcripts were qualitatively analyzed to identify key areas for revision. Revisions were made between phase 1 and 2 to improve the DA's acceptability and usability. Results: We interviewed 20 participants (10/phase): median age 33.7 years, 60% female, 80% White. Mean score on the Preparation for Decision Making Scale: 86.8 (out of 100). We revised: 1) VCM, focusing on pros/cons of surgery and question prompts, 2) "Homepage," adding webpage descriptions (Extended Summary Figure), 3) menu organization, 4) "Surgery Day" webpage, adding general anesthesia risk information, and 5) "Hypospadias" webpage, adding an icon bar graph to help participants visualize statistics. Participants thought the testimonial videos were relatable and the VCMs would prepare them for their visit with their child's urologist. Discussion: Ours is the first parent-centered DA developed and pre-tested for hypospadias. Using validated usability and acceptability scales, participants highly rated the DA in helping them arrive at a decision about surgery. Study limitations include the sample's lack of diversity (i.e., educated, health literate) and participants already decided about their son's hypospadias management before enrolling. To learn more about the DA's usability and acceptability, we plan to pilot test it in a clinical setting. Conclusions: Participants found our DA informative in understanding hypospadias. There was a high perceived level of preparation for hypospadias decision making. Participatory research methods, such as "think aloud," may be helpful when testing DAs as they privilege the patient's experience.
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    Informational Practices of Postacute Brain Injury Patients During Personal Recovery: Qualitative Study
    (JMIR, 2019) Masterson, Yamini; Brady, Erin; Miller, Andrew; Human-Centered Computing, School of Informatics and Computing
    Background: The effects of brain injury, structural damage, or the physiological disruption of brain function last far beyond initial clinical treatment. Self-tracking and management technologies have the potential to help individuals experiencing brain injury in their personal recovery—helping them to function at their best despite ongoing symptoms of illness. However, current self-tracking technologies may be unsuited for measuring the interconnected, nonlinear ways in which brain injury manifests. Objective: This study aimed to investigate (1) the current informational practices and sensemaking processes used by postacute brain injury patients during personal recovery and (2) the potential role of quality-of-life instruments in improving patient awareness of brain injury recovery, advocacy, and involvement in care used outside the clinical context. Our objective was to explore the means of improving awareness through reflection that leads to compensatory strategies by anticipating or recognizing the occurrence of a problem caused by impairment. Methods: We conducted a qualitative study and used essentialist or realist thematic analysis to analyze the data collected through semistructured interviews and questionnaires, 2 weeks of structured data collection using brain injury–specific health-related quality of life instrument, quality of life after brain injury (QoLIBRI), and final interviews. Results: Informational practices of people with brain injury involve data collection, data synthesis, and obtaining and applying the insights to their lifestyles. Participants collected data through structured tools such as spreadsheets and wearable devices but switched to unstructured tools such as journals and blogs as changes in overall progress became more qualitative in nature. Although data collection helped participants summarize their progress better, the lack of conceptual understanding made it challenging to know what to monitor or communicate with clinicians. QoLIBRI served as an education tool in this scenario but was inadequate in facilitating reflection and sensemaking. Conclusions: Individuals with postacute brain injury found the lack of conceptual understanding of recovery and tools for making sense of their health data as major impediments for tracking and being aware of their personal recovery. There is an urgent need for a better framework for recovery and a process model for choosing patient-generated health data tools that focus on the holistic nature of recovery and improve the understanding of brain injury for all stakeholders involved throughout recovery.
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    Into the Black Box: Designing for Transparency in Artificial Intelligence
    (2019-11) Vorm, Eric Stephen; Miller, Andrew; Bolchini, Davide; Reda, Khairi; Fedorikhin, Sasha
    The rapid infusion of artificial intelligence into everyday technologies means that consumers are likely to interact with intelligent systems that provide suggestions and recommendations on a daily basis in the very near future. While these technologies promise much, current issues in low transparency create high potential to confuse end-users, limiting the market viability of these technologies. While efforts are underway to make machine learning models more transparent, HCI currently lacks an understanding of how these model-generated explanations should best translate into the practicalities of system design. To address this gap, my research took a pragmatic approach to improving system transparency for end-users. Through a series of three studies, I investigated the need and value of transparency to end-users, and explored methods to improve system designs to accomplish greater transparency in intelligent systems offering recommendations. My research resulted in a summarized taxonomy that outlines a variety of motivations for why users ask questions of intelligent systems; useful for considering the type and category of information users might appreciate when interacting with AI-based recommendations. I also developed a categorization of explanation types, known as explanation vectors, that is organized into groups that correspond to user knowledge goals. Explanation vectors provide system designers options for delivering explanations of system processes beyond those of basic explainability. I developed a detailed user typology, which is a four-factor categorization of the predominant attitudes and opinion schemes of everyday users interacting with AI-based recommendations; useful to understand the range of user sentiment towards AI-based recommender features, and possibly useful for tailoring interface design by user type. Lastly, I developed and tested an evaluation method known as the System Transparency Evaluation Method (STEv), which allows for real-world systems and prototypes to be evaluated and improved through a low-cost query method. Results from this dissertation offer concrete direction to interaction designers as to how these results might manifest in the design of interfaces that are more transparent to end users. These studies provide a framework and methodology that is complementary to existing HCI evaluation methods, and lay the groundwork upon which other research into improving system transparency might build.
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    Investigating the Effect of a Digital Doctor on Persuasion
    (2021-10) Dai, Zhengyan; MacDormann, Karl F.; Miller, Andrew; Brady, Erin; Chakraborty, Sunandan
    The treatment of chronic diseases requires patient adherence to medical advice. Nonadherence worsens health outcomes and increases healthcare costs. Consultations with a virtual physician could increase adherence, given the shortage of healthcare professionals. However, if the virtual physician is a computer animation, acceptance of its advice may be hampered by the uncanny valley effect, a negative affective reaction to human simulations. Two experiments were conducted to investigate the impact of the virtual physician on patients’ adherence. The first study, a 2 ´ 2 ´ 2 between-groups posttestonly experiment, involved 738 participants playing the role of a patient in a hypothetical virtual consultation with a doctor. The consultation varied in the doctor’s Character, Outcome, and Depiction. Character, Outcome, and Depiction were designed to manipulate the doctor’s level of warmth, competence, and realism. The second study, a 2 ´ 5 between-groups experiment, involved 441 participants assuming a patient’s role in a similar hypothetical virtual consultation with a doctor. The experiment varied the doctor’s Character and Depiction. These independent variables were designed to manipulate the doctor’s level of warmth and eeriness. The first study found that warmth and competence increased adherence intention and consultation enjoyment, but realism did not. On the contrary, the computer-animated doctor increased adherence intention and consultation enjoyment significantly more than the doctor portrayed by a human actor. The enjoyment of the animated consultation caused the doctor to appear warmer and more real, compensating for his realism inconsistency. In the second study, Depiction had a nonsignificant effect on adherence intention, even though the computer animated doctor was perceived as eerier than the real human. The low-warmth, high-eeriness doctor prompted heuristic processing of information, while the high-warmth doctor prompted systematic processing. This pattern runs counter to the literature on persuasion. The doctor’s eeriness, measured in a pretest, had no significant effect on adherence intention via the heuristic-systematic model. Although virtual characters can elicit the uncanny valley effect, they were comparable to a real person in increasing adherence intention, adherence and health behavior. This finding should encourage the development and acceptance of virtual consultation to address the shortage of healthcare professionals.