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Designing effective CSCW systems in healthcare requires a careful consideration of the entire enterprise. This study uses computational text analysis and network visualization of topical terms and keywords to map the extant knowledge domain of CSCW in healthcare. The results are framed using a multi-level enterprise model, comprised of people, technology, process, and organization. Emerging trends and prominent patterns are identified. The study contributes to a broader understanding of CSCW research in healthcare and demonstrates the value of adapting an enterprise (as a) system lens.
Visualizing sets to reveal relationships between constituent elements is a complex representational problem. Recent research presents several automated placement and grouping techniques to highlight connections between set elements. However, these techniques do not scale well for sets with cardinality greater than one hundred elements. We present OnSet, an interactive, scalable visualization technique for representing large-scale binary set data.
What are the most relevant HCI principles to design a context aware HMI for passengers in a self-driving vehicle?

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