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Browsing by Subject "Human Computer Interaction"
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Item Into the Black Box: Designing for Transparency in Artificial Intelligence(2019-11) Vorm, Eric Stephen; Miller, Andrew; Bolchini, Davide; Reda, Khairi; Fedorikhin, SashaThe 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.Item Parental Perceptions of Displayed Patient Data in a PICU: An Example of Unintentional Empowerment(Wolters Kluwer, 2019-05) Asan, Onur; Scanlon, Matthew C.; Crotty, Bradley; Holden, Richard J.; Flynn, Kathryn E.; Medicine, School of MedicineOBJECTIVES: To explore the perceptions of parents of pediatric patients in a PICU regarding real-time open electronic health record data displayed in patient rooms. DESIGN: Cross-sectional qualitative interview study. SETTING: PICU in a large Midwestern tertiary-care children's hospital. SUBJECTS: Parents of patients in a PICU (n = 33). MEASUREMENTS AND MAIN RESULTS: Qualitative data were collected through in-person semi-structured, individual, and small-group interviews. Data were collected from March 2016 to July 2016, with approval from the study hospital's institutional review board. Data were analyzed using inductive thematic analysis. Results included positive effects of accessing real-time open electronic health record data on family empowerment, situation awareness, potential error detection, understanding of medical data, and facilitating discussions during rounds. Concerns were reported regarding privacy of information as well as potential misinterpretation of displayed data. We identified several ways to improve this collaborative technology to make it more family-centered. CONCLUSIONS: This study suggests that a new health information technology system providing continuous access to open electronic health record data may be an effective way to empower and engage parents in the PICU, but potential drawbacks were also noted. The results also provide insights into the collaborative use of health information technology in the PICU setting.