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Inclusive Data Visualization (Dagstuhl Seminar 23252)

Authors: Bongshin Lee, Kim Marriott, Danielle Szafir, and Gerhard Weber

Published in: Dagstuhl Reports, Volume 13, Issue 6 (2024)

Abstract

Data plays an increasingly important role in our lives, and data visualization pervades our world as a means not only to analyze and explore data but also to identify and communicate insights. Most existing data visualizations, however, remain out of reach for many people with disabilities as they are designed on implicit assumptions about people’s sensory, cognitive, and motor abilities. With an aim to tackle the significant equity issues posed by inaccessible data and data visualization, this Dagstuhl Seminar brought together researchers and practitioners from relevant fields, including visualization, accessibility, human-computer interaction, and health informatics. Five - both remote and in-person - invited talks gave participants an opportunity to understand barriers and challenges people with various disabilities currently face. With lightning talks and demos, participants shared their experiences and research relevant to inclusive data visualization. In addition, through brainstorming and discussion in break-out sessions combined with short report back presentations, participants identified research challenges and opportunities for inclusive data visualization.

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Bongshin Lee, Kim Marriott, Danielle Szafir, and Gerhard Weber. Inclusive Data Visualization (Dagstuhl Seminar 23252). In Dagstuhl Reports, Volume 13, Issue 6, pp. 81-105, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@Article{lee_et_al:DagRep.13.6.81,
  author =	{Lee, Bongshin and Marriott, Kim and Szafir, Danielle and Weber, Gerhard},
  title =	{{Inclusive Data Visualization (Dagstuhl Seminar 23252)}},
  pages =	{81--105},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2024},
  volume =	{13},
  number =	{6},
  editor =	{Lee, Bongshin and Marriott, Kim and Szafir, Danielle and Weber, Gerhard},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.13.6.81},
  URN =		{urn:nbn:de:0030-drops-196399},
  doi =		{10.4230/DagRep.13.6.81},
  annote =	{Keywords: Data Visualization, Information Visualization, Accessibility, Data Access, Human-Computer Interaction, Human-Data Interaction}
}

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DOI: 10.4230/DagRep.13.1.216

Perception in Network Visualization (Dagstuhl Seminar 23051)

Authors: Karsten Klein, Stephen Kobourov, Bernice E. Rogowitz, Danielle Szafir, and Jacob Miller

Published in: Dagstuhl Reports, Volume 13, Issue 1 (2023)

Abstract

Networks are used to model and represent data in many application areas from life sciences to social sciences. Visual network analysis is a crucial tool to improve the understanding of data sets and processes over many levels of complexity, such as different semantic, spatial and temporal granularities. While there is a great deal of work on the algorithmic aspects of network visualization and the computational complexity of the underlying problems, the role and limits of human perception are rarely explicitly investigated and taken into account when designing network visualizations. To address this issue, this Dagstuhl Seminar raised awareness in the network visualization community of the need for more extensive theoretical and empirical understanding of how people perceive and make sense of network visualizations and the significant potential for improving current solutions when perception-based strategies are employed. Likewise, the seminar increased awareness in the perception community that challenges in network research can drive new questions for perception research, for example, in identifying features and patterns in large, often time-varying networks. We brought together researchers from several different communities to initiate a dialogue, foster exchange, discuss the state of the art at this intersection and within the respective fields, identify promising research questions and directions, and start working on selected problems.

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Karsten Klein, Stephen Kobourov, Bernice E. Rogowitz, Danielle Szafir, and Jacob Miller. Perception in Network Visualization (Dagstuhl Seminar 23051). In Dagstuhl Reports, Volume 13, Issue 1, pp. 216-244, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@Article{klein_et_al:DagRep.13.1.216,
  author =	{Klein, Karsten and Kobourov, Stephen and Rogowitz, Bernice E. and Szafir, Danielle and Miller, Jacob},
  title =	{{Perception in Network Visualization (Dagstuhl Seminar 23051)}},
  pages =	{216--244},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2023},
  volume =	{13},
  number =	{1},
  editor =	{Klein, Karsten and Kobourov, Stephen and Rogowitz, Bernice E. and Szafir, Danielle and Miller, Jacob},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.13.1.216},
  URN =		{urn:nbn:de:0030-drops-191220},
  doi =		{10.4230/DagRep.13.1.216},
  annote =	{Keywords: Network Visualization, Graph Drawing, Perception, Cognition}
}

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Documents authored by Szafir, Danielle

Inclusive Data Visualization (Dagstuhl Seminar 23252)

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Perception in Network Visualization (Dagstuhl Seminar 23051)

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