Panagiotis D. Ritsos

MEng PhD Essex, FHEA

Senior Lecturer in Visualization

XReality, Visualization and
Analytics (XRVA) Lab
Visualization, Data, Modelling and
Graphics (VDMG) research group,
School of Computer Science
and Engineering,
Bangor University,
Dean Street, Bangor,
Gwynedd, UK, LL57 1UT

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The Reality of the Situation: A Survey of Situated Analytics

Teaser for The Reality of the Situation: A Survey of Situated Analytics

Abstract

The advent of low-cost, accessible, and high-performance augmented reality (AR) has shed light on a situated form of analytics where in-situ visualizations embedded in the real world can facilitate sensemaking based on the user’s physical location. In this work, we identify prior literature in this emerging field with a focus on situated analytics. After collecting 47 relevant situated analytics systems, we classify them using a taxonomy of three dimensions: situating triggers, view situatedness, and data depiction. We then identify four archetypical patterns in our classification using an ensemble cluster analysis. We also assess the level which these systems support the sensemaking process. Finally, we discuss insights and design guidelines that we learned from our analysis.

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Citation

S. Shin, A. Batch, P. W. S. Butcher, P. D. Ritsos, and N. Elmqvist, “The Reality of the Situation: A Survey of Situated Analytics,” IEEE Transactions on Visualization and Computer Graphics, vol. 30, no. 8, pp. 5147–5164, Aug. 2024.  doi:10.1109/TVCG.2023.3285546
Presented at IEEE VIS 2023

Bibtex

@article{Shin-et-al-TVCG-2024,
  title = {{The Reality of the Situation: A Survey of Situated Analytics}},
  author = {Shin, Sungbok and Batch, Andrea and Butcher, Peter W. S. and Ritsos, Panagiotis D. and Elmqvist, Niklas},
  journal = {IEEE Transactions on Visualization and Computer Graphics},
  year = {2024},
  volume = {30},
  number = {8},
  month = aug,
  pages = {5147-5164},
  osf = {https://osf.io/3wxv2/},
  doi = {10.1109/TVCG.2023.3285546}
}