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Documents authored by Rogowitz, Bernice E.

Document
DOI: 10.4230/DagRep.14.7.81
Art, Visual Illusions, and Data Visualization (Dagstuhl Seminar 24301)

Authors: Christophe Hurter, Claus-Christian Carbon, Mauro Martino, and Bernice E. Rogowitz

Published in: Dagstuhl Reports, Volume 14, Issue 7 (2025)

Abstract
This report presents the program and outcomes of Dagstuhl Seminar 24301, titled "Art, Visual Illusions, and Data Visualization." The seminar explored the intersection of art, visual illusions, and data science - three distinct yet interconnected disciplines that share a focus on visual representation and perception. Art serves as a medium for storytelling and complex visual communication, while visual illusions offer insights into cognitive and perceptual mechanisms. Data science complements these fields with advanced methods for analyzing and visualizing complex datasets. The seminar examined historical and contemporary examples of the interplay between these domains, showcasing artists such as M.C. Escher, Bridget Riley, and Yayoi Kusama, as well as modern practitioners like Laurie Frick, Refik Anadol, and Giorgia Lupi. These examples illustrate how visual illusions and data visualization techniques have been used to challenge perceptions, uncover hidden patterns, and foster deeper understanding. By bringing together experts in art, cognitive psychology, and data science, the seminar fostered interdisciplinary dialogue and collaboration. Participants explored innovative approaches to visual storytelling and data communication, emphasizing the potential of integrating artistic methods, perceptual insights, and computational tools to create engaging and intuitive visualizations. The seminar highlighted the rich synergies at the intersection of these fields, advancing both theory and practice in visual representation and perception.
Cite as

Christophe Hurter, Claus-Christian Carbon, Mauro Martino, and Bernice E. Rogowitz. Art, Visual Illusions, and Data Visualization (Dagstuhl Seminar 24301). In Dagstuhl Reports, Volume 14, Issue 7, pp. 81-114, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@Article{hurter_et_al:DagRep.14.7.81,
  author =	{Hurter, Christophe and Carbon, Claus-Christian and Martino, Mauro and Rogowitz, Bernice E.},
  title =	{{Art, Visual Illusions, and Data Visualization (Dagstuhl Seminar 24301)}},
  pages =	{81--114},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2025},
  volume =	{14},
  number =	{7},
  editor =	{Hurter, Christophe and Carbon, Claus-Christian and Martino, Mauro and Rogowitz, Bernice E.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.7.81},
  URN =		{urn:nbn:de:0030-drops-229308},
  doi =		{10.4230/DagRep.14.7.81},
  annote =	{Keywords: Data Visualization, Perception, Cognition, Art, Visual Illusions, Generative Art, Artificial Intelligence (AI), Machine Learning (ML), Cognitive Psychology, Human-Computer Interaction, Creativity, Empirical Aesthetics}
}
Document
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.
Cite as

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}
}
Document
DOI: 10.4230/DagRep.8.10.127
Data Physicalization (Dagstuhl Seminar 18441)

Authors: Jason Alexander, Petra Isenberg, Yvonne Jansen, Bernice E. Rogowitz, and Andrew Vande Moere

Published in: Dagstuhl Reports, Volume 8, Issue 10 (2019)

Abstract
Data physicalization involves representing numbers and relationships using physical, tangible displays. These displays provide tactile, as well as visual metaphors for expressing and experiencing data, and can unlock new analytical insights and emotional responses. This Dagstuhl seminar brought together a diverse group of researchers and practitioners to explore the benefits and challenges of physicalization - computer scientists trained in visualization, virtual reality and human-computer interaction; architects of virtual and augmented systems; perceptual and cognitive scientists; and artists and designers. Through interactive discussions and demonstrations, we explored physicalization, as a set of methodologies for representing data, for engaging audiences, and for artistic expression.
Cite as

Jason Alexander, Petra Isenberg, Yvonne Jansen, Bernice E. Rogowitz, and Andrew Vande Moere. Data Physicalization (Dagstuhl Seminar 18441). In Dagstuhl Reports, Volume 8, Issue 10, pp. 127-147, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@Article{alexander_et_al:DagRep.8.10.127,
  author =	{Alexander, Jason and Isenberg, Petra and Jansen, Yvonne and Rogowitz, Bernice E. and Vande Moere, Andrew},
  title =	{{Data Physicalization (Dagstuhl Seminar 18441)}},
  pages =	{127--147},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2019},
  volume =	{8},
  number =	{10},
  editor =	{Alexander, Jason and Isenberg, Petra and Jansen, Yvonne and Rogowitz, Bernice E. and Vande Moere, Andrew},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.8.10.127},
  URN =		{urn:nbn:de:0030-drops-103513},
  doi =		{10.4230/DagRep.8.10.127},
  annote =	{Keywords: Dagstuhl Seminar, Data Physicalization}
}
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