Situated Analytics

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Abstract

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.

Publisher Link

https://link.springer.com/chapter/10.1007%2F978-3-030-01388-2_7

Citation

Thomas B.H. et al. (2018) Situated Analytics. In: Marriott K. et al. (eds) Immersive Analytics. Lecture Notes in Computer Science, vol 11190. Springer, Cham. https://doi.org/10.1007/978-3-030-01388-2_7

Bibtext Entry

@Inbook{Thomas2018,
author="Thomas, Bruce H.
and Welch, Gregory F.
and Dragicevic, Pierre
and Elmqvist, Niklas
and Irani, Pourang
and Jansen, Yvonne
and Schmalstieg, Dieter
and Tabard, Aur{\'e}lien
and ElSayed, Neven A. M.
and Smith, Ross T.
and Willett, Wesley",
editor="Marriott, Kim
and Schreiber, Falk
and Dwyer, Tim
and Klein, Karsten
and Riche, Nathalie Henry
and Itoh, Takayuki
and Stuerzlinger, Wolfgang
and Thomas, Bruce H.",
title="Situated Analytics",
bookTitle="Immersive Analytics",
year="2018",
publisher="Springer International Publishing",
address="Cham",
pages="185--220",
abstract="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.",
isbn="978-3-030-01388-2",
doi="10.1007/978-3-030-01388-2_7",
url="https://doi.org/10.1007/978-3-030-01388-2_7"
}