The Human User in Progressive Visual Analytics

Publikation: KonferencebidragPaperForskningpeer review

DOI

  • Luana Micallef, University of Copenhagen, Danmark
  • Hans-Jörg Schulz
  • Marco Angelini, Sapienza University of Rome, Italien
  • Michaël Aupetit, Hamad Bin Khalifa University, Qatar
  • Remco Chang, Tufts University, USA
  • Jörn Kohlhammer, Fraunhofer IGD, Darmstadt, Tyskland
  • Adam Perer, Carnegie Mellon University, USA
  • Giuseppe Santucci, Sapienza University of Rome, Italien
The amount of generated and analyzed data is ever increasing, and processing such large data sets can take too long in situations where time-to-decision or fluid data exploration are critical. Progressive visual analytics (PVA) has recently emerged as a potential solution that allows users to analyze intermediary results during the computation without waiting for the computation to complete. However, there has been limited consideration on how these techniques impact the user. Based on discussions from a Dagstuhl seminar held in October 2018, this paper characterizes PVA users by their common roles, their main tasks, and their distinct focus of analysis. It further discusses cognitive biases that play a particular role in PVA. This work will help PVA visualization designers in devising systems that are tailored for their specific target users and their characteristics.
OriginalsprogEngelsk
Udgivelsesår2019
Antal sider5
DOI
StatusUdgivet - 2019
Begivenhed21st EG/VGTC Conference on Visualization - Porto, Portugal
Varighed: 3 jun. 20197 jun. 2019
https://www.eurovis.org/

Konference

Konference21st EG/VGTC Conference on Visualization
LandPortugal
ByPorto
Periode03/06/201907/06/2019
Internetadresse

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