Visualizations beyond the desktop

Visualizations beyond the desktop

Point of contact

Petra Isenberg, Inria, petra.isenberg@inria.fr

Summary

Visualization fundamentally studies how people work with, react to, understand, or interact with (mostly) digital representations of data. With its focus on people, visualization’s goal is to empower humans to make use of data whenever it is needed the most. Traditionally, visualizations were designed for desktop or laptop computers but both hardware and information needs have changed and new fruistful avenues for research have emerged

  • mobile visualization: Mobile devices and services have a great potential to satisfy the growing need to access data anywhere, at any time. Data is increasingly collected not only in professional but also in personal settings, such as fitness and health tracking, personal finances, gaming, and many others. As such, mobile data visualization can help a broad range of people better access and utilize data.
  • data physicalization: data can not only be represented using digital displays but also using physical and tangible displays. These physicalizations provide tactile, as well as visual metaphors for expressing and experiencing data, and can unlock new analytical insights and emotional responses.
  • large display visualization: large displays offer not only the opportunity to display large quantities of data at once but also the opportunity for multiple spectators or analysts experiencing data together.
  • immersive analytics: immersive analytics is the science of analytical reasoning facilitated by immersive human-computer interfaces. These include in particular virtual reality and augmented reality environments used to display data visualizations.

Keywords

mobile visualization, data physicalization, immersive analytics, non-desktop displays

Researchers involved or interested

A few references

  • Data Physicalization Pierre Dragicevic, Yvonne Jansen, Andrew Vande Moere Jean Vanderdonckt. Springer Handbook of Human Computer Interaction, Springer, 2021, Springer Reference, ISBN 978-3-319-73228-2
  • Visualizing Ranges over Time on Mobile Phones: A Task-Based Crowdsourced Evaluation. Matthew Brehmer, Bongshin Lee, Petra Isenberg, Eun Kyoung Choe. IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2019, 25 (1), pp.619-629.
  • Interaction for Immersive Analytics. Wolfgang Büschel, Jian Chen, Raimund Dachselt, Steven Drucker, Tim Dwyer, Carsten Görg, Tobias Isenberg, Andreas Kerren, Chris North, Wolfgang Stuerzlinger. Immersive Analytics, Springer, pp.95 – 138, 2018.
  • Collaborative Visualization: Definition, Challenges, and Research Agenda Petra Isenberg, Niklas Elmqvist, Jean Scholtz, Daniel Cernea, Kwan-Liu Ma, Hans Hagen. Information Visualization, SAGE Publications, 2011, Special Issue on Information Visualization: State of the Field and New Research Directions, 10 (4), pp.310–326

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