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In the current era of digitisation, a substantial amount of data significantly influences our daily experiences and decision-making processes. This data is systematically acquired from routine social interactions, online engagements, and the numerous sensors seamlessly integrated into our surroundings. Navigating this data-rich environment poses notable challenges, particularly when immersed in mixed reality environments. Situated Analytics (SA) was introduced to offer analytical reasoning within the physical space, utilizing visual analytics reasoning techniques combined with augmented reality to enhance the physical environment with real-time contextual information. The distinctive feature of SA lies in its contextual and situational, two-way, interactive visualisation, supported by a system and knowledge analytics to optimize the decision-making process. This paper discusses in-depth the components, processes, space, and mantra of SA, listing its characteristics and addressing the challenges associated with it.
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Neven ElSayed
Know Center Research GmbH (Austria)
Kim Marriott
Monash University
Ross Smith
The University of Adelaide
Monash University
University of South Australia
Know Center Research GmbH (Austria)
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ElSayed et al. (Thu,) studied this question.
synapsesocial.com/papers/68e6beabb6db64358763f09b — DOI: https://doi.org/10.1145/3613905.3650814