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Creators/Authors contains: "Hung, Ya-Hsin"

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  1. Connected and automated vehicles (CAVs) offer many potential advantages, including improved traffic flow, reduction of traffic accidents, and increased freedom for adolescents and adults with restricted mobility. However, successful implementation of CAVs depends on several factors, especially acceptance and preferences by people. Specifically, during the earlier stage of deployment, CAVs will have to share the roads with human-driven vehicles (HDVs), which requires communication between CAVs and HDVs regarding their intentions and future actions. Therefore, as a first step in our research program, we conducted a survey of 182 U.S. drivers to assess their knowledge of CAVs and their thoughts about implementation. We report the survey results, accompanied by our interpretations. 
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  2. Data visualization as a profession has been growing rapidly in recent years. Although some initiatives are in place to increase engagement between the academic and practitioner communities, we currently do not have a good understanding of how practitioners do their design work, including what methods, approaches, and principles they know and use in their everyday practice. We present a subset of results of a survey in which 87 DataVis practitioners identified their familiarity with popular design methods and the frequency with which they use them in their own work. We also discuss follow-up work to develop a deeper understanding of practitioners’ perspectives on design methods. 
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  3. Numerous online resources for supporting visualization design have been developed in recent years. Although many have become popular among practitioners, they have not received systematic analysis in the academic literature. Here we present a preliminary analysis focused on one subset of online practitioner-oriented resources—those that aid in choosing visualization techniques based on a designer’s communicative intent. We report the results of a comprehensive search for such resources, and discuss findings of an analysis based on multiple characteristics including communicative intent. Finally, we discuss implications and future research directions. 
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