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Item Exploration and Visualization of Patterns Underlying Multistakeholder Preferences in Watershed Conservation Decisions Generated by an Interactive Genetic Algorithm(Wiley, 2021-05) Piemonti, Adriana Debora; Guizani, Mariam; Babbar-Sebens, Meghna; Zhang, Eugene; Mukhopadhyay, Snehasis; Computer and Information Science, School of ScienceIn multiple watershed planning and design problems, such as conservation planning, quantitative estimates of costs, and environmental benefits of proposed conservation decisions may not be the only criteria that influence stakeholders' preferences for those decisions. Their preferences may also be influenced by the conservation decision itself—specifically, the type of practice, where it is being proposed, existing biases, and previous experiences with the practice. While human-in-the-loop type search techniques, such as Interactive Genetic Algorithms (IGA), provide opportunities for stakeholders to incorporate their preferences in the design of alternatives, examination of user-preferred conservation design alternatives for patterns in Decision Space can provide insights into which local decisions have higher or lower agreement among stakeholders. In this paper, we explore and compare spatial patterns in conservation decisions (specifically involving cover crops and filter strips) within design alternatives generated by IGA and noninteractive GA. Methods for comparing patterns include nonvisual as well as visualization approaches, including a novel visual analytics technique. Results for the study site show that user-preferred designs generated by all participants had strong bias for cover crops in a majority (50%–83%) of the subbasins. Further, exploration with heat maps visualization indicate that IGA-based search yielded very different spatial patterns of user-preferred decisions in subbasins in comparison to decisions within design alternatives that were generated without the human-in-the-loop. Finally, the proposed coincident-nodes, multiedge graph visualization was helpful in visualizing disagreement among participants in local subbasin scale decisions, and for visualizing spatial patterns in local subbasin scale costs and benefits.Item User-testing of a decision-support tool for parents facing threatened periviable delivery: The Periviable GOALS decision aid(Elsevier, 2021-06) Tucker Edmonds, Brownsyne; Hoffman, Shelley A.; Laitano, Tatiana; Coleman-Phox, Kimberly; Castillo, Esperanza; Kuppermann, Miriam; Obstetrics and Gynecology, School of MedicineBackground To report user-centered design methods and stakeholder acceptability ratings of the Periviable GOALS (Getting Optimal Alignment around Life Support) decision aid (DA). Methods ‘Experienced’ and ‘expectant’ mothers engaged in content and design refining sessions. Five videos (10 families) were embedded in the DA to highlight life after delivery. User-testing sessions were conducted with mothers and providers to assess acceptability. End-user testing was conducted with hospitalized women facing potential periviable delivery to assess acceptability and feasibility in the clinical setting. Results 108 participants engaged in sessions from July 2017-January 2020. Twenty-seven refining sessions resulted in a DA providing survival estimates, neonatal outcomes descriptions, and values clarification exercises. Five white and five black women participated in the videos; six having surviving children (ages 16 months-4 years). Twelve mothers, 16 providers, and six hospitalized women evaluated acceptability. 95.1 % found the content “just right,” 94.9 % rated the videos “good” or “excellent,” and 97.2 % believed GOALS would support families in periviable decision-making. Conclusion Our results highlight the importance of developing a DA that is acceptable for patient use with direct involvement of stakeholders.