Not As Easy As You Think-Experiences and Lessons Learnt from Creating a Visualization Image Typology - Laboratoire Interdisciplinaire des Sciences du Numérique Access content directly
Preprints, Working Papers, ... Year : 2022

Not As Easy As You Think-Experiences and Lessons Learnt from Creating a Visualization Image Typology

Petra Isenberg
Robert S Laramee
Tobias Isenberg
Michael Sedlmair
  • Function : Author
  • PersonId : 1109499
Torsten Mōller
  • Function : Author
  • PersonId : 959129

Abstract

We present and discuss the results of a two-year qualitative analysis of images published in IEEE Visualization (VIS) papers. Specifically, we derive a typology of 13 visualization image types, coded to distinguish visual designs and several image characteristics. The categorization process required much more time and was more difficult than we anticipated. The resulting typology and image analysis may serve a number of purposes: to study the evolution of the community and its research output over time, to facilitate the categorization of visualization images for the purpose of research or teaching, to identify visual design styles, or to enable progress towards standardization in visualization. In addition to the typology and image characterization, we provide a dataset of 6,833 tagged images and an online tool that can be used to explore and analyze the large set of tagged images. The tool and data set enable a close examination of the diverse visualizations used and how they are published and communicated in our community.
Fichier principal
Vignette du fichier
Chen_2022_ETE.pdf (7.31 Mo) Télécharger le fichier
Vignette du fichier
Chen_2022_ETE.jpg (12.42 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Format : Figure, Image

Dates and versions

hal-03812031 , version 1 (12-10-2022)

Identifiers

Cite

Jian Chen, Petra Isenberg, Robert S Laramee, Tobias Isenberg, Michael Sedlmair, et al.. Not As Easy As You Think-Experiences and Lessons Learnt from Creating a Visualization Image Typology. 2022. ⟨hal-03812031⟩
137 View
116 Download

Altmetric

Share

Gmail Facebook X LinkedIn More