Skip to search boxSkip to navigationSkip to main content

Interactive Visualization on Large High-Resolution Displays: A Survey

  • Søren Knudsen
    ,
  • Ilyasse Belkacem
    ,
  • Christian Tominski
    ,
  • Nicolas Médoc
    ,
  • Raimund Dachselt
    ,
  • Mohammad Ghoniem
  • Luxembourg Institute of Science and Technology
    ,
  • University of Rostock
    ,
  • TU Dresden
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Open access

Publication Information

Output type

Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Original language

English

Article number

e15001

Journal (Volume, Issue Number)

Computer Graphics Forum (Volume 43, Issue 6)

Publication milestones

  • Published - 30/04/2024

Publication status

Published - 30/04/2024

ISSN

0167-7055

Publication IDs

  • Scopus: 85191842571

Abstract

In the past few years, large high-resolution displays (LHRDs) have attracted considerable attention from researchers, industries and application areas that increasingly rely on data-driven decision-making. An up-to-date survey on the use of LHRDs for interactive data visualization seems warranted to summarize how new solutions meet the characteristics and requirements of LHRDs and take advantage of their unique benefits. In this survey, we start by defining LHRDs and outlining the consequence of LHRD environments on interactive visualizations in terms of more pixels, space, users and devices. Then, we review related literature along the four axes of visualization, interaction, evaluation studies and applications. With these four axes, our survey provides a unique perspective and covers a broad range of aspects being relevant when developing interactive visual data analysis solutions for LHRDs. We conclude this survey by reflecting on a number of opportunities for future research to help the community take up the still-open challenges of interactive visualization on LHRDs.

Publication metrics

PlumX, opens in new tab

Citations
16
Captures
22

Funding Details

This work was funded in partby Luxembourg’s Fonds National de la Recherche (FNR) grant #IN-TER/DFG/23/17599636, the Deutsche Forschungsgemeinschaft(DFG) under Germany’s Excellence Strategy - EXC 2050/1 -390696704 Cluster of Excellence “Centre for Tactile Internet withHuman-in-the-Loop” (CeTI) and DFG grant 389792660 as partof TRR 248 - CPEC (see https://perspicuous-computing.science),and the European Union’s Horizon 2020 research and innovationprogramme under the Marie Sklodowska-Curie grant agreementNo. 753816. Open access funding enabled and organized by Projekt DEAL.