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Book Sections Year : 2018

Situated Analytics


This chapter introduces the concept of situated analytics that employs data representations organized in relation to germane objects, places, and persons for the purpose of understanding, sensemaking, and decision-making. The components of situated analytics are characterized in greater detail, including the users, tasks, data, representations, interactions, and analytical processes involved. Several case studies of projects and products are presented that exemplify situated analytics in action. Based on these case studies, a set of derived design considerations for building situated analytics applications are presented. Finally, there is a an outline of a research agenda of challenges and research questions to explore in the future.
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Dates and versions

hal-01947243 , version 1 (26-09-2019)



Bruce Thomas, Gregory Welch, Pierre Dragicevic, Niklas Elmqvist, Pourang Irani, et al.. Situated Analytics. Immersive Analytics, 11190, Springer, pp.185-220, 2018, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-01388-2_7⟩. ⟨hal-01947243⟩
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