Situated Analytics

Keywords

Augmented reality; Data visualisation; Human-computer interaction; Immersion; Immersive analytics; Situated analytics

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.

Publication Date

1-1-2018

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

11190 LNCS

Number of Pages

185-220

Document Type

Article; Book Chapter

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/978-3-030-01388-2_7

Socpus ID

85055344720 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85055344720

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