@inbook{302a02af41b646589553ba807596217f,
title = "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.",
keywords = "Augmented reality, Data visualisation, Human-computer interaction, Immersion, Immersive analytics, Situated analytics",
author = "Thomas, {Bruce H.} and Welch, {Gregory F.} and Pierre Dragicevic and Niklas Elmqvist and Pourang Irani and Yvonne Jansen and Dieter Schmalstieg and Aur{\'e}lien Tabard and ElSayed, {Neven A.M.} and Smith, {Ross T.} and Wesley Willett",
year = "2018",
month = jan,
day = "1",
doi = "10.1007/978-3-030-01388-2_7",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag Heidelberg",
pages = "185--220",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
}